[
  {
    "slug": "3-ad-angles",
    "title": "3 Ready-to-Run Ad Angles",
    "short": "Three ad angles with hooks, ready to paste into any ad platform. Skip the brainstorm — launch faster.",
    "long": "Three distinct ad angles and hooks for one product or client. Each angle includes: headline, short body copy, and 2 creative hooks. Formatted as plain Markdown you can paste directly into Meta Ads, TikTok Ads, or any ad platform. Built for rapid A/B testing. Designed for DTC brands and agencies who need fast creative that actually ships.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "prompt-pack",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Grab tested ad copy instead of writing angles from scratch. Save 1–2 hours of brainstorming.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/00w5kwaWF89Bens6oBcAo0f",
    "tags": [
      "ads",
      "copywriting",
      "dtc",
      "hooks",
      "creative"
    ],
    "install": "Download 3-ad-angles.zip → open README.md → paste angles into ad platform",
    "example_output": "Angle 1: Pain hook headline + body + 2 variation hooks. Angle 2: Proof headline... Angle 3: Curiosity hook...",
    "deliverables": [
      "3 distinct ad angles (each with headline + short body copy)",
      "2 creative hooks per angle (variation-ready)",
      "Copy-paste Markdown format + quick A/B testing checklist"
    ],
    "asset_type": "template",
    "use_cases": [
      "content",
      "marketing"
    ],
    "integrations": []
  },
  {
    "slug": "agent-orchestration",
    "title": "Agent Orchestration Template",
    "short": "Chain sub-agents with retries, timeouts, and cost caps. Build multi-step pipelines in minutes, not days.",
    "long": "A concise, runnable agent-orchestration skill that wires together: task dispatcher, retry policy, timeout and cost budget enforcement, and logging hooks. Includes 3 example flows (data-collection → summarize → execute; weekly audit; outreach pipeline). Eliminates the scaffolding work of building multi-agent coordination from scratch. Includes install.sh and post-purchase checklist.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": "~10-30s depending on sub-agent models and steps",
    "agent_use_case": "Wire up multi-step agent pipelines in minutes. Retries, cost caps, and handoffs included.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/bJe28kggZ1Ldfrw6oBcAo0e",
    "tags": [
      "orchestration",
      "agent",
      "automation",
      "subagent",
      "pipeline"
    ],
    "install": "Download agent-orchestration.zip → unzip → run install.sh",
    "example_output": "\"Run summary: 3 sub-agents executed; results saved to /output; cost= $1.98\"",
    "deliverables": [
      "Download page + starter orchestration template",
      "Retry/timeout/cost-control patterns for multi-step workflows",
      "Example: chaining researcher → copywriter → coder with structured handoffs"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": [],
    "example_input": "{\"flow\":\"data-collect->summarize->execute\",\"budget_cents\":200}",
    "dependencies": [
      "OpenClaw runtime",
      "model providers (OpenAI/Anthropic)",
      "network access"
    ],
    "failure_modes": "Sub-agent provider API keys required; long flows may exceed cost/time budgets",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "analytics-tracking-pack",
    "title": "Analytics Tracking Pack (UTM + Events)",
    "short": "UTM naming convention, GA4 event table, and GTM snippet in one pack. Clean attribution from day one.",
    "long": "Complete analytics setup pack: standardized UTM naming convention and campaign taxonomy, Google Tag Manager container snippet examples (importable JSON), GA4 event naming table with recommended mappings for key conversions (signup, checkout, add_to_cart, lead), and a step-by-step implementation checklist for landing pages and ad platforms. Replaces 2-3 hours of documentation digging and naming convention bikeshedding.",
    "price": 2.0,
    "price_tier": "pro",
    "category": "prompt-pack",
    "runtime": "instant (download + import GTM)",
    "agent_use_case": "Set up campaign attribution in 15 minutes instead of 2 hours of docs reading.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/9B6dR23ud89Bdjo7sFcAo0w",
    "tags": [
      "analytics",
      "utm",
      "ga4",
      "gtm",
      "tracking",
      "attribution"
    ],
    "install": "Download analytics-tracking-pack.zip → open README.md → import GTM snippet",
    "example_output": "\"GTM container JSON + GA4 event table applied; events visible in GA4 within 24-48h\"",
    "deliverables": [
      "UTM naming convention + campaign taxonomy (copy-paste)",
      "GA4 event naming table + recommended conversion mappings",
      "GTM snippet examples + implementation checklist"
    ],
    "asset_type": "template",
    "use_cases": [
      "data",
      "marketing"
    ],
    "integrations": [],
    "example_input": "{\"page\":\"/landing\",\"utm_source\":\"reddit\",\"event\":\"landing_view\"}",
    "dependencies": [
      "Google Tag Manager account",
      "GA4 property access"
    ],
    "failure_modes": "Needs GTM/GA4 access; GA4 data latency up to 48h; blocked by adblockers",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "contactform-submitter",
    "title": "Contact Form Submitter Skill",
    "short": "Submit web contact forms with consistent fields and audit logging. Reliable outreach at scale.",
    "long": "A small, battle-tested OpenClaw skill for contact-form outreach execution. Includes a repeatable submission checklist and an auditable logging convention so you can run acquisition even when email automation is paused or deliverability is degraded.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Submit web contact forms at scale with consistent fields and full audit trail.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/00wbIUd4N2Phfrw6oBcAo06",
    "tags": [
      "outreach",
      "contactform",
      "acquisition",
      "logging"
    ],
    "install": "Download contactform-submitter.zip → unzip → run install.sh",
    "example_output": "Submission logged: company=ACME Plumbing | url=https://example.com/contact | outcome=success",
    "deliverables": [
      "Skill package (download) + install instructions",
      "Repeatable contact-form submission checklist (fields + hygiene)",
      "Auditable logging convention + example log entries"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "skill-1password",
    "title": "1Password CLI Skill for OpenClaw",
    "short": "Read secrets from 1Password via CLI. No plaintext files. Safe for CI and local automation.",
    "long": "Helps set up and use the 1Password CLI (op): sign-in, desktop app integration, and retrieving/injecting secrets for scripts and tools. Reduces secret sprawl and keeps creds out of repo files.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Read API keys and credentials from 1Password safely. No plaintext secrets anywhere.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/fZu8wI4yh61tbbg6oBcAo0q",
    "tags": [
      "1password",
      "secrets",
      "op",
      "security",
      "cli"
    ],
    "install": "openclaw install 1password",
    "example_output": "Fetched secret \"STRIPE_API_KEY\" from 1Password and exported to env.",
    "deliverables": [
      "Install + sign-in instructions for 1Password CLI (op)",
      "Examples for reading/injecting secrets safely (no plaintext)",
      "Quick sanity checks + common troubleshooting notes"
    ],
    "asset_type": "skill",
    "use_cases": [
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-apple-notes",
    "title": "Apple Notes Skill for OpenClaw",
    "short": "Create, search, and edit Apple Notes from the terminal. Fast capture without opening the app.",
    "long": "Lets an agent create, search, edit, move, export, and delete Apple Notes via the memo CLI on macOS. Useful for daily logging, meeting notes, and turning chats into persistent notes without UI friction.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Capture and search Apple Notes from terminal. Fast note-taking without switching apps.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/14A5kw7Kt3Tl0wC4gtcAo0j",
    "tags": [
      "apple",
      "notes",
      "macos",
      "capture",
      "knowledge"
    ],
    "install": "openclaw install apple-notes",
    "example_output": "Created note \"Client call follow-up\" in folder \"Work\" (id: ...).",
    "deliverables": [
      "Install instructions for memo-based Apple Notes automation",
      "Common commands: create/search/edit/move/export/delete",
      "Examples for fast capture + retrieval workflows"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-apple-reminders",
    "title": "Apple Reminders Skill for OpenClaw",
    "short": "Add, list, and complete Apple Reminders via CLI. Task tracking that fits into any workflow.",
    "long": "Enables agents to manage Apple Reminders through remindctl: list by date/list, add tasks with due dates, complete, edit, and delete. Great for turning messages into tasks and keeping a reliable personal queue.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Add and check Apple Reminders as part of daily agent workflows.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/28E5kw0i1dtVenseV7cAo0k",
    "tags": [
      "apple",
      "reminders",
      "tasks",
      "macos",
      "todo"
    ],
    "install": "openclaw install apple-reminders",
    "example_output": "Added reminder \"File sales tax\" to list \"Admin\" due 2026-03-01.",
    "deliverables": [
      "Install instructions for remindctl-based Apple Reminders automation",
      "Common commands: list/add/edit/complete/delete",
      "Examples for date-filtered task capture + follow-up"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-blogwatcher",
    "title": "Blog/RSS Watcher Skill for OpenClaw",
    "short": "Monitor RSS and blog feeds for updates. Know when competitors publish — without scraping.",
    "long": "Tracks RSS/Atom feeds and detects new posts reliably. Great for market monitoring, competitor tracking, and personal reading pipelines. Produces a stable update stream without noisy browser checks.",
    "price": 0.5,
    "price_tier": "micro",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Monitor competitor blogs and news feeds. Know when new content drops.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/dRm5kw0i1dtVgvA7sFcAo0t",
    "tags": [
      "rss",
      "monitoring",
      "alerts",
      "feeds",
      "research"
    ],
    "install": "openclaw install blogwatcher",
    "example_output": "3 new posts detected across 12 feeds. Digest written.",
    "deliverables": [
      "Install instructions for RSS/Atom monitoring via blogwatcher",
      "Examples: add feeds, poll, digest \"what changed\" output",
      "Suggested conventions for clean update streams (low noise)"
    ],
    "asset_type": "skill",
    "use_cases": [
      "content",
      "devops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "skill-coding-agent",
    "title": "Coding Agent Skill for OpenClaw",
    "short": "Delegate coding tasks to a specialized sub-agent. Build features, review PRs, refactor — hands-free.",
    "long": "Spawns specialized coding sub-agents (Codex-mini, Claude Code, or Pi) for complex coding tasks that need file exploration, iterative build/test/debug loops, or large codebase refactoring. Returns results back to the parent agent. Replaces custom multi-agent orchestration scaffolding. Works best for tasks >50 lines of code or multi-file changes.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": "~30s-5min (depends on codebase size and CI)",
    "agent_use_case": "Hand off complex coding tasks to a sub-agent. Get features built, PRs reviewed, code refactored.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/3cIaEQ3udahJ7Z4aERcAo0c",
    "tags": [
      "coding",
      "codex",
      "claude",
      "refactor",
      "pr",
      "devtools"
    ],
    "install": "openclaw install coding-agent",
    "example_output": "\"PR opened: #18; tests passing locally; changelog summary\"",
    "deliverables": [
      "Download page with install + provider setup (Codex/Claude Code/Pi)",
      "Example prompts for common coding tasks (refactor, add feature, write tests)",
      "Suggested safety defaults (scoped repos, timeouts, cost caps)"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": [],
    "example_input": "{\"task\":\"add pagination to API\",\"repo_url\":\"https://github.com/org/repo\"}",
    "dependencies": [
      "GitHub access token (if pushing PRs)",
      "coding model provider"
    ],
    "failure_modes": "Requires repo access and CI; may fail on large monorepos or non-reproducible builds",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "skill-gh-issues",
    "title": "GitHub Issues Agent Skill for OpenClaw",
    "short": "Process GitHub issue backlogs automatically. Fetch issues, implement fixes, open PRs, handle reviews.",
    "long": "Full issue-to-PR pipeline: fetches issues from a GitHub repo (with label/milestone/assignee filters), spawns a coding sub-agent to implement each fix in a temp directory, opens a PR, then watches for review comments and spawns followup agents to address them. Turns a backlog of issues into merged PRs autonomously. Complex multi-step pipeline that would take 5+ research rounds to replicate.",
    "price": 2.0,
    "price_tier": "pro",
    "category": "skill",
    "runtime": [
      "openclaw",
      "any-agent"
    ],
    "agent_use_case": "Process GitHub issue backlogs: fetch, fix, open PRs, respond to review comments. Fully automated.",
    "install_complexity": "5min",
    "buy_url": "https://buy.stripe.com/eVqeV68Ox4Xp5QW14hcAo0d",
    "tags": [
      "github",
      "issues",
      "pr",
      "automation",
      "pipeline",
      "devtools"
    ],
    "install": "openclaw install gh-issues",
    "example_output": "Processed 3 issues. Opened PRs #19, #20, #21. PR #19 merged after addressing 2 review comments.",
    "deliverables": [
      "Issue-to-PR pipeline template (download) + install instructions",
      "Examples: filters (label/milestone/assignee) + PR automation",
      "Suggested safety defaults (scoping, limits, review loop)"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev",
      "ops"
    ],
    "integrations": [
      "github"
    ]
  },
  {
    "slug": "skill-github",
    "title": "GitHub Skill for OpenClaw",
    "short": "GitHub ops via gh CLI: issues, PRs, CI status, code review, API queries. Works out of the box.",
    "long": "Lets any OpenClaw agent manage GitHub repositories without writing API glue. Handles listing and filtering issues/PRs, checking CI run status, viewing logs, creating comments, and querying the GitHub API. Requires gh CLI (usually already installed). Replaces 2+ rounds of documentation hunting and auth setup.",
    "price": 0.5,
    "price_tier": "micro",
    "category": "skill",
    "runtime": "~1-3s (depends on GitHub API)",
    "agent_use_case": "Interact with GitHub repos: list issues, check CI, open PRs, query the API.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/aFa4gs2q989Bfrw6oBcAo09",
    "tags": [
      "github",
      "git",
      "pr",
      "ci",
      "devtools"
    ],
    "install": "openclaw install github",
    "example_output": "[{\"pr\":42,\"title\":\"Fix bug\",\"status\":\"open\"}]",
    "deliverables": [
      "Install instructions for gh-based GitHub operations",
      "Copy-paste examples: issues/PRs/CI runs/API queries",
      "Common troubleshooting: auth, scopes, rate limits"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev",
      "devops",
      "ops"
    ],
    "integrations": [
      "github"
    ],
    "example_input": "{\"action\":\"list_prs\",\"repo\":\"org/repo\"}",
    "dependencies": [
      "gh CLI or GitHub token",
      "network access"
    ],
    "failure_modes": "Requires auth scopes; rate-limited by GitHub API",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "skill-gog",
    "title": "Google Workspace Skill for OpenClaw",
    "short": "Gmail, Calendar, Drive, Sheets, and Docs — all in one skill. Full read/write access to Google Workspace.",
    "long": "Complete Google Workspace integration: read and send Gmail, create and list Calendar events, upload and download Drive files, manage Contacts, and read/write Sheets and Docs. Handles OAuth authentication. Replaces 3+ rounds of API documentation review and separate auth setup for each service.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": "~2-10s (OAuth handshake may add time)",
    "agent_use_case": "Read email, manage calendar, update spreadsheets. All Google Workspace in one skill.",
    "install_complexity": "5min",
    "buy_url": "https://buy.stripe.com/eVqfZae8RdtVfrw5kxcAo0b",
    "tags": [
      "google",
      "gmail",
      "calendar",
      "drive",
      "sheets",
      "workspace"
    ],
    "install": "openclaw install gog",
    "example_output": "{\"unread\":3,\"subjects\":[\"Invoice\",\"Meeting\"]}",
    "deliverables": [
      "Download page with exact OpenClaw install command",
      "Copy‑paste command examples for Gmail/Calendar/Drive/Sheets",
      "One‑line sanity checks to verify the skill is installed"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": [
      "gmail",
      "sheets"
    ],
    "example_input": "{\"query\":\"unread emails\",\"limit\":5}",
    "dependencies": [
      "Google OAuth credentials"
    ],
    "failure_modes": "Requires OAuth consent and proper scopes; may fail if token revoked",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "skill-mcporter",
    "title": "MCP Porter Skill for OpenClaw",
    "short": "Connect to MCP tool servers without writing custom integration code. Discover and call external tools fast.",
    "long": "Provides a simple CLI workflow to list/configure/auth and call MCP servers (HTTP or stdio), generate types, and run ad-hoc servers. Turns tool integration into a repeatable, auditable process.",
    "price": 2.0,
    "price_tier": "pro",
    "category": "skill",
    "runtime": "~1-5s per MCP call",
    "agent_use_case": "Discover and call tools from MCP servers. No custom API code needed.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/5kQ3co6Gp0H9djo00dcAo0s",
    "tags": [
      "mcp",
      "tools",
      "servers",
      "integration",
      "automation"
    ],
    "install": "openclaw install mcporter",
    "example_output": "{\"results\": [{\"id\":1,\"title\":\"Fix bug\"}] }",
    "deliverables": [
      "Install + setup instructions for mcporter",
      "Examples: add MCP server, generate types, invoke tools",
      "Troubleshooting notes for HTTP/stdio servers"
    ],
    "asset_type": "mcp",
    "use_cases": [
      "ops"
    ],
    "integrations": [],
    "example_input": "{\"server\":\"https://mcp.example\",\"tool\":\"github.search_issues\",\"q\":\"bug\"}",
    "dependencies": [
      "MCP server endpoint",
      "network access"
    ],
    "failure_modes": "Fails if MCP server is unreachable or uses incompatible protocol; needs auth for private servers",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "skill-obsidian",
    "title": "Obsidian Vault Skill for OpenClaw",
    "short": "Read and write markdown notes in Obsidian vaults. Persistent knowledge base your agent can search.",
    "long": "Automates common Obsidian workflows (create/update/search/export notes) inside a vault. Great for agents that maintain a knowledge base, daily logs, or project docs as Markdown, without requiring Obsidian UI automation.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Maintain a searchable markdown knowledge base in Obsidian vaults.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/7sYbIUfcVgG72EKcMZcAo0n",
    "tags": [
      "obsidian",
      "markdown",
      "notes",
      "vault",
      "knowledge"
    ],
    "install": "openclaw install obsidian",
    "example_output": "Updated note \"Project Plan\" (added 3 bullet points).",
    "deliverables": [
      "Install instructions for obsidian-cli vault automation",
      "Examples: create/search/update/export Markdown notes",
      "Suggested vault conventions for agent-friendly structure"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-openai-whisper",
    "title": "Whisper (Local STT) Skill for OpenClaw",
    "short": "Transcribe audio on-device with Whisper. No API key. No data leaves your machine.",
    "long": "Runs Whisper locally to transcribe audio/video files into text. No API keys required. Perfect for private transcription, quick notes, and converting recordings into searchable text, without sending data to third parties.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Transcribe audio or video on-device. No API key. No data leaves your machine.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/7sY8wI4yhfC3bbg8wJcAo0o",
    "tags": [
      "whisper",
      "stt",
      "transcription",
      "audio",
      "local"
    ],
    "install": "openclaw install openai-whisper",
    "example_output": "Transcribed 12:34 audio → 1,842 words. Saved to transcript.txt.",
    "deliverables": [
      "Install instructions for local Whisper CLI transcription",
      "Examples: transcribe audio/video to text",
      "Performance tips + common failure fixes"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "skill-openai-whisper-api",
    "title": "Whisper API (STT) Skill for OpenClaw",
    "short": "Cloud-based audio transcription via OpenAI API. More reliable for long files. Needs API key.",
    "long": "Uses the OpenAI Audio Transcriptions API for speech-to-text. Good when you want scalable transcription with consistent quality. Requires an API key and network access.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Transcribe audio files via OpenAI API. More reliable for files over 10 minutes.",
    "install_complexity": "5min",
    "buy_url": "https://buy.stripe.com/9B6eV6d4N4Xp4MS6oBcAo0p",
    "tags": [
      "whisper",
      "stt",
      "transcription",
      "openai",
      "api"
    ],
    "install": "openclaw install openai-whisper-api",
    "example_output": "Transcript created via API: 00:00–12:34 with timestamps.",
    "deliverables": [
      "Install + API key setup instructions for Whisper transcriptions API",
      "Examples: transcribe long files reliably",
      "Cost/latency tips + troubleshooting notes"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "skill-peekaboo",
    "title": "Peekaboo (macOS UI Automation) Skill for OpenClaw",
    "short": "Control native macOS apps that lack APIs. Click buttons, read dialogs, take screenshots.",
    "long": "Uses the Peekaboo CLI to capture and automate macOS UI flows: screenshots, element targeting, and scripted interactions. Useful for app-only workflows (native dialogs, installers) and quick \"what's on screen?\" checks.",
    "price": 2.0,
    "price_tier": "pro",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Control native macOS apps that have no API. Click, read, screenshot.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/28E14g6Gp9dF7Z414hcAo0r",
    "tags": [
      "macos",
      "ui",
      "automation",
      "screenshots",
      "accessibility"
    ],
    "install": "openclaw install peekaboo",
    "example_output": "Captured screen and clicked \"Allow\" button (Accessibility permission required).",
    "deliverables": [
      "Install instructions for Peekaboo macOS UI automation",
      "Examples: screenshot + click/type workflows",
      "Permissions checklist (Accessibility) + safety notes"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-summarize",
    "title": "Summarize Skill for OpenClaw",
    "short": "Summarize any URL, YouTube video, or podcast. One command. No custom scraping needed.",
    "long": "Extracts readable text or transcripts from URLs, RSS feeds, podcast episodes, YouTube videos, and local files. Returns structured summaries with key points. Handles paywalls, redirects, and embedded media gracefully. Eliminates the need to find and integrate multiple scraping + transcription tools.",
    "price": 0.5,
    "price_tier": "micro",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Summarize any URL, YouTube video, or podcast in one command.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/fZu5kw4yhahJgvAdR3cAo0a",
    "tags": [
      "summarize",
      "transcribe",
      "youtube",
      "podcast",
      "content"
    ],
    "install": "openclaw install summarize",
    "example_output": "Summary of https://example.com/article: [3 key points, 150-word summary]",
    "deliverables": [
      "Install instructions for URL/podcast/YouTube/file summarization",
      "Examples: extract text/transcripts + structured summaries",
      "Common troubleshooting: paywalls, redirects, long media"
    ],
    "asset_type": "skill",
    "use_cases": [
      "content"
    ],
    "integrations": []
  },
  {
    "slug": "skill-things-mac",
    "title": "Things 3 (Mac) Skill for OpenClaw",
    "short": "Create and query Things 3 tasks from the CLI. GTD that stays in sync with your agent.",
    "long": "Integrates with Things 3 via the things CLI + URL scheme: add/update projects and todos, read/search from the local Things DB, and list inbox/today/upcoming. Perfect when Things is the task SSOT and you want agents to update it safely.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Create and query Things 3 tasks. Keep your GTD system in sync.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/28E7sE3udcpR3IO4gtcAo0l",
    "tags": [
      "things",
      "tasks",
      "gtd",
      "macos",
      "productivity"
    ],
    "install": "openclaw install things-mac",
    "example_output": "Inbox: 7 items. Today: 3 items. Created todo \"Send invoice\" (deadline: today).",
    "deliverables": [
      "Install instructions for Things 3 CLI integration",
      "Examples: add/update/search/list inbox/today/upcoming",
      "Suggested GTD conventions + safety defaults"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": []
  },
  {
    "slug": "skill-tmux",
    "title": "tmux Remote Control Skill for OpenClaw",
    "short": "Drive interactive CLIs via tmux. Send keys, scrape output, keep sessions alive across turns.",
    "long": "Provides robust remote-control for interactive terminal apps by sending keystrokes to tmux panes and reading pane output. Useful when tools require a TTY (setup wizards, TUIs, REPLs) or when you want persistent sessions.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Drive interactive CLIs via tmux. Keep terminal sessions alive across agent turns.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/bJeaEQggZ1Ld6V07sFcAo0m",
    "tags": [
      "tmux",
      "terminal",
      "automation",
      "tui",
      "cli"
    ],
    "install": "openclaw install tmux",
    "example_output": "Pane output captured (last 200 lines). Command sent: Enter.",
    "deliverables": [
      "Install + basic tmux setup for remote-controlling interactive CLIs",
      "Examples: send keys, scrape pane output, keep sessions alive",
      "Troubleshooting notes for TTY-required tools"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-weather",
    "title": "Weather Skill for OpenClaw",
    "short": "Current weather and forecasts anywhere. No API key needed. Great for travel and scheduling.",
    "long": "Fetches current conditions and multi-day forecast using a lightweight public endpoint (no API key). Great for assistants that need context-aware scheduling, travel prep, and outdoor planning. Avoids brittle scraping or paid weather APIs.",
    "price": 0.5,
    "price_tier": "micro",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Get weather and forecasts for any location. No API key required.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/00w7sE2q9dtV5QW5kxcAo0i",
    "tags": [
      "weather",
      "forecast",
      "utility"
    ],
    "install": "openclaw install weather",
    "example_output": "San Jose: 62°F, clear. Tomorrow: 64°F / 48°F, light wind.",
    "deliverables": [
      "Install instructions for weather/forecast lookup",
      "Examples: current conditions + multi-day forecast",
      "Common usage patterns for scheduling + planning"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "utm-link-helper",
    "title": "UTM Link Helper Skill",
    "short": "Generate consistent UTM-tagged links for outreach. Clean attribution data from the start.",
    "long": "A lightweight OpenClaw skill that standardizes UTM generation and prevents attribution drift. Use it to generate short, consistent tracked links for Reddit/LinkedIn/X, contact forms, and partner outreach. Includes naming rules and examples in SKILL.md.",
    "price": 1.0,
    "price_tier": "standard",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Generate UTM links with consistent naming. Clean attribution from the start.",
    "install_complexity": "instant",
    "buy_url": "https://buy.stripe.com/28E14g7Kt3Tl938bIVcAo0u",
    "tags": [
      "utm",
      "analytics",
      "attribution",
      "distribution"
    ],
    "install": "Download utm-link-helper.zip → unzip → run install.sh",
    "example_output": "https://example.com/?utm_source=reddit&utm_medium=post&utm_campaign=am_day1&utm_content=variant_a",
    "deliverables": [
      "UTM naming rules + canonical parameters (source/medium/campaign/content)",
      "Copy-paste examples for Reddit/LinkedIn/X and partner outreach",
      "Dedupe conventions to keep attribution clean over time"
    ],
    "asset_type": "skill",
    "use_cases": [
      "content",
      "data",
      "marketing"
    ],
    "integrations": []
  },
  {
    "slug": "skill-blucli",
    "title": "BluOS / Bluesound CLI Skill for OpenClaw",
    "short": "Control Bluesound and NAD audio players from the terminal. Play, pause, adjust volume, group zones.",
    "long": "The blucli skill lets any OpenClaw agent control Bluesound/NAD BluOS speakers and zones without touching the app. Supports device discovery, play/pause/stop, volume control, grouping zones, and status checks. Great for home-automation agents that need reliable audio control. No cloud dependency — communicates directly on the local network.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to control Bluesound or NAD BluOS audio players — start music, adjust volume, or group zones — as part of a home automation workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "bluesound",
      "audio",
      "home-automation",
      "cli",
      "nad"
    ],
    "install": "openclaw install blucli",
    "example_output": "Device: Living Room Speaker | Status: playing | Volume: 35 | Track: Miles Davis – Kind of Blue",
    "deliverables": [
      "Install instructions for blucli (blu) with go install or brew",
      "Command examples: discover devices, play/pause/stop, set volume, group zones",
      "Configuration guide for BLU_DEVICE env var and alias setup"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-gemini",
    "title": "Gemini CLI Skill for OpenClaw",
    "short": "Run Gemini for quick answers, long-context summaries, and cheap text generation. One command.",
    "long": "The Gemini skill integrates Google's Gemini CLI into OpenClaw for fast one-shot prompts, JSON-structured outputs, and model-switching between Flash and Pro tiers. Useful when you want a second model opinion, need Gemini's long context (1M tokens), or want cost-effective generation at scale. Avoids interactive-mode pitfalls and returns clean structured output.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to invoke Gemini for a second-opinion answer, long-context summarization, or cost-effective text generation.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "gemini",
      "google",
      "llm",
      "generation",
      "ai"
    ],
    "install": "openclaw install gemini",
    "example_output": "Gemini Flash response: \"The answer is X because…\" (JSON mode: {\"answer\": \"X\", \"confidence\": 0.92})",
    "deliverables": [
      "Install instructions for Gemini CLI via brew",
      "One-shot usage patterns: Q&A, summarization, JSON output mode",
      "Model selection guide: Flash vs Pro + cost comparison"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": []
  },
  {
    "slug": "skill-gifgrep",
    "title": "GIF Search & Download Skill for OpenClaw",
    "short": "Search Tenor and Giphy, download GIFs, extract stills or sprite sheets. Content creation made easy.",
    "long": "The gifgrep skill lets agents search GIF providers (Tenor, Giphy) from the terminal, preview results in a TUI browser, download the best match, and extract individual frames or sprite sheets. Useful for content pipelines that need reaction GIFs, visual assets, or thumbnail extraction without a browser. Handles provider API key setup automatically.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to find, download, or extract frames from a GIF as part of a content creation or social media automation workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "gif",
      "search",
      "media",
      "content",
      "download"
    ],
    "install": "openclaw install gifgrep",
    "example_output": "Found 24 results for 'celebration'. Downloaded celebration-confetti.gif. Extracted 12 stills to ./frames/.",
    "deliverables": [
      "Install instructions for gifgrep via brew or go install",
      "Search + download examples for Tenor and Giphy",
      "Frame extraction commands for stills and sprite sheets"
    ],
    "asset_type": "skill",
    "use_cases": [
      "content",
      "design"
    ],
    "integrations": [
      "sheets"
    ]
  },
  {
    "slug": "skill-healthcheck",
    "title": "Host Security Hardening Skill for OpenClaw",
    "short": "Audit your host's security: firewall, SSH config, OS updates. Fix issues before they bite.",
    "long": "The healthcheck skill guides an agent through a complete host security audit: OS version and exposure check, SSH config hardening, firewall rules, automatic update status, OpenClaw gateway bind address review, and risk tolerance configuration. Produces a numbered action list so the operator can approve changes one by one. All state-changing steps require explicit approval — no silent modifications.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to audit or harden the security posture of the machine running OpenClaw — firewall, SSH, OS updates, and gateway exposure.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "security",
      "hardening",
      "audit",
      "ssh",
      "firewall",
      "macos"
    ],
    "install": "openclaw install healthcheck",
    "example_output": "Security audit complete. 3 issues found: SSH PasswordAuth enabled, firewall off, auto-updates disabled. Numbered action plan generated.",
    "deliverables": [
      "Host security audit workflow (SSH, firewall, updates, exposure)",
      "Risk tolerance configuration guide (numbered approval steps)",
      "Rollback plan for each hardening action"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": []
  },
  {
    "slug": "skill-openai-image-gen",
    "title": "OpenAI Image Generation Skill for OpenClaw",
    "short": "Batch-generate images via DALL-E with structured prompts. Auto-builds an HTML gallery for review.",
    "long": "The openai-image-gen skill enables batch image generation through OpenAI's Images API (DALL-E 3). Accepts structured prompt lists or a random prompt sampler, generates images at configurable sizes and quality levels, and outputs an index.html gallery for quick review. Replaces custom API glue and prompt management with a clean, repeatable workflow. Requires OPENAI_API_KEY.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to generate a batch of images from text prompts using DALL-E and organize the results into a reviewable gallery.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "image-generation",
      "dalle",
      "openai",
      "creative",
      "batch"
    ],
    "install": "openclaw install openai-image-gen",
    "example_output": "Generated 10 images from prompt list. Gallery saved to ./output/index.html. Total cost: $0.40.",
    "deliverables": [
      "Install + OPENAI_API_KEY setup instructions",
      "Batch generation examples with size/quality/style options",
      "Auto-built HTML gallery output + cost estimation guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "skill-skill-creator",
    "title": "Skill Creator for OpenClaw",
    "short": "Build and package new OpenClaw skills. Includes SKILL.md template, scripts, and install metadata.",
    "long": "The skill-creator skill provides a complete framework for building new OpenClaw skills: SKILL.md templates, packaging conventions, script organization, and best practices for token-efficient skill design. Learn how to scope skills correctly, bundle references and assets, and write SKILL.md files that don't waste context window. Includes examples of good vs bad skill design.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent or developer wants to create a new OpenClaw skill — defining its SKILL.md, scripts, install metadata, and packaging.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "skill-creator",
      "development",
      "packaging",
      "openclaw",
      "meta"
    ],
    "install": "openclaw install skill-creator",
    "example_output": "New skill scaffolded: my-skill/SKILL.md + my-skill/scripts/ + metadata.yaml. Ready for openclaw install.",
    "deliverables": [
      "SKILL.md template with all required sections",
      "Packaging conventions and folder structure guide",
      "Token-efficiency principles for context-aware skill design"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "skill-video-frames",
    "title": "Video Frame Extraction Skill for OpenClaw",
    "short": "Extract frames or clips from video files with ffmpeg. Fast thumbnails for any video format.",
    "long": "The video-frames skill wraps ffmpeg to extract single frames, frame sequences, or short clips from any video format. Great for generating thumbnails, creating training data, checking video content without watching the full file, or feeding frames to vision models for analysis. Requires ffmpeg (installable via brew).",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to extract a thumbnail, frame sequence, or clip from a video file — for visual analysis, training data, or content preview.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "video",
      "ffmpeg",
      "frames",
      "thumbnails",
      "media"
    ],
    "install": "openclaw install video-frames",
    "example_output": "Extracted frame at 00:01:23 → frame_83.jpg (1920x1080). Sprite sheet of 16 frames saved to sheet.jpg.",
    "deliverables": [
      "Install instructions for ffmpeg via brew",
      "Frame extraction commands: single frame, sequence, sprite sheet",
      "Examples for thumbnail generation + vision model integration"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": []
  },
  {
    "slug": "skill-wacli",
    "title": "WhatsApp CLI Skill for OpenClaw",
    "short": "Send WhatsApp messages and search chat history from the terminal. No app needed.",
    "long": "The wacli skill integrates WhatsApp messaging into OpenClaw workflows: send messages to contacts or groups, search message history, and sync conversations. Useful for outreach pipelines, customer notification workflows, and agents that need to surface WhatsApp messages as structured data. Requires the wacli binary (brew or go install).",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "openclaw"
    ],
    "agent_use_case": "Use when an agent needs to send WhatsApp messages programmatically or search WhatsApp history as part of a communication or outreach workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "whatsapp",
      "messaging",
      "communication",
      "cli",
      "outreach"
    ],
    "install": "openclaw install wacli",
    "example_output": "Sent WhatsApp message to +1-555-0100: \"Your order is ready.\" | History search: 5 messages found for \"invoice\".",
    "deliverables": [
      "Install instructions for wacli via brew or go install",
      "Send message + history search command examples",
      "Contact and group messaging patterns for outreach workflows"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": []
  },
  {
    "slug": "slack-integration-guide",
    "title": "Slack API Integration Guide for Agents",
    "short": "Post messages, read channels, and build Slack bots. Complete agent integration reference.",
    "long": "A comprehensive guide for integrating any AI agent with the Slack API. Covers Bot token setup, posting to channels/DMs, reading message history, creating Slash commands, handling interactive components, and using Slack Webhooks for real-time events. Includes rate limit strategies, error handling patterns, and copy-paste Python/Node snippets. Replaces hours of Slack API documentation browsing.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to post notifications, read Slack channels, or trigger Slack workflows as part of a team automation pipeline.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "slack",
      "messaging",
      "api",
      "integration",
      "notification"
    ],
    "install": "Download slack-integration-guide.md — no installation required",
    "example_output": "Posted message to #engineering: \"Deploy complete. 3 tests failed. PR #42 link: https://…\" | 12 messages read from #support.",
    "deliverables": [
      "Slack Bot setup guide: OAuth scopes, token types, event subscriptions",
      "Copy-paste snippets for posting, reading, and managing channels",
      "Rate limit handling + error recovery patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": [
      "slack"
    ]
  },
  {
    "slug": "notion-integration-guide",
    "title": "Notion API Integration Guide for Agents",
    "short": "Create, update, and search Notion pages and databases. Full API reference for agents.",
    "long": "Full Notion API integration guide: integration token setup, creating and updating pages, querying databases with filters and sorts, managing blocks, and reading nested page content. Covers Notion's block model (rich text, tables, toggles), property types for databases, and pagination patterns for large result sets. Includes Python SDK examples and raw HTTP patterns for any agent.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to write meeting notes to Notion, query a project database, or update a CRM page as part of a knowledge management workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "notion",
      "database",
      "knowledge-management",
      "api",
      "productivity"
    ],
    "install": "Download notion-integration-guide.md — no installation required",
    "example_output": "Created page \"Q1 Review\" in database. Updated 3 properties. Query returned 8 matching records filtered by Status=In Progress.",
    "deliverables": [
      "Notion integration token setup + OAuth guide",
      "Page/database CRUD examples with property type reference",
      "Pagination, block structure, and rich text formatting patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev"
    ],
    "integrations": [
      "notion"
    ]
  },
  {
    "slug": "airtable-integration-guide",
    "title": "Airtable API Integration Guide for Agents",
    "short": "Read, write, and manage Airtable bases. Sync CRM records, update inventory, trigger automations.",
    "long": "Complete guide to the Airtable API: personal access token setup, listing bases and tables, CRUD operations on records, field type handling (lookups, rollups, attachments), filtering and sorting with formula fields, and webhook configuration for real-time triggers. Includes Python examples and rate limit patterns (5 req/s). Replaces a full reading of Airtable's scattered API docs.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to sync data with an Airtable base — reading CRM records, updating inventory, or triggering automations from record changes.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "airtable",
      "database",
      "spreadsheet",
      "api",
      "crm"
    ],
    "install": "Download airtable-integration-guide.md — no installation required",
    "example_output": "Listed 47 records from 'Leads' table. Updated 3 records (Status → Contacted). Webhook registered for new-record events.",
    "deliverables": [
      "API token setup + base/table discovery commands",
      "CRUD record examples with field type handling reference",
      "Webhook setup for real-time record change triggers"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev",
      "marketing",
      "sales"
    ],
    "integrations": []
  },
  {
    "slug": "linear-issues-guide",
    "title": "Linear API Integration Guide for Agents",
    "short": "Manage Linear issues and projects via GraphQL API. Bug reports, sprint tracking, status updates.",
    "long": "Linear API integration guide using GraphQL: API key setup, creating and updating issues, querying projects and cycles, assigning priorities and labels, filtering by team/state/assignee, and subscribing to webhooks for real-time updates. Includes the most useful GraphQL queries copy-paste ready, and explains Linear's data model (Teams → Projects → Issues → Sub-issues). Designed for agents managing engineering backlogs.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to create bug reports, update issue status, or query project progress in Linear as part of a dev workflow or sprint planning automation.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "linear",
      "project-management",
      "issues",
      "graphql",
      "devtools"
    ],
    "install": "Download linear-issues-guide.md — no installation required",
    "example_output": "Created issue 'Fix auth timeout' in Team Engineering, Priority High, Cycle 12. Query returned 5 in-progress issues.",
    "deliverables": [
      "Linear API key setup + GraphQL endpoint reference",
      "Issue CRUD + project/cycle query examples",
      "Webhook setup for real-time issue state change triggers"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "jira-automation-guide",
    "title": "Jira REST API Automation Guide for Agents",
    "short": "Create and update Jira issues, query sprints, manage projects. Complete REST API reference.",
    "long": "Complete Jira REST API guide for agent automation: API token auth (Basic + Bearer), creating and updating issues, transitioning status, querying with JQL, managing sprints via Jira Software API, and adding comments/attachments. Covers both Jira Cloud and Data Center differences. Includes JQL cheat sheet and common field IDs. Designed for agents that manage software delivery pipelines.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to log bugs, move issues through a sprint, or generate Jira reports as part of a software development workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "jira",
      "project-management",
      "issues",
      "sprint",
      "devtools"
    ],
    "install": "Download jira-automation-guide.md — no installation required",
    "example_output": "Created Jira issue PROJ-142 'Fix login timeout'. Transitioned to In Progress. Sprint query returned 8 open issues.",
    "deliverables": [
      "Jira API token setup + auth patterns (Cloud vs Data Center)",
      "Issue CRUD, JQL query examples, sprint management via REST",
      "JQL cheat sheet + common field ID reference"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "zendesk-agent-guide",
    "title": "Zendesk API Integration Guide for Agents",
    "short": "Read support tickets, post replies, route escalations. Zendesk automation for agents.",
    "long": "Full Zendesk REST API guide for AI agents: API token auth, creating and updating tickets, adding public/private comments, querying tickets with search filters, user and organization management, and trigger/webhook setup for event-driven flows. Covers both Zendesk Support and Zendesk Messaging. Includes patterns for support triage agents that need to classify, route, and auto-respond to tickets.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to read support tickets, post replies, update ticket status, or route escalations in Zendesk as part of a customer support automation.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "zendesk",
      "customer-support",
      "tickets",
      "api",
      "crm"
    ],
    "install": "Download zendesk-agent-guide.md — no installation required",
    "example_output": "Fetched 12 open tickets. Added comment to ticket #5432: 'Escalated to engineering.' Status updated to Pending.",
    "deliverables": [
      "Zendesk API token setup + subdomain configuration",
      "Ticket CRUD, comment, and user management examples",
      "Trigger/webhook patterns for event-driven ticket routing"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "sales",
      "support"
    ],
    "integrations": []
  },
  {
    "slug": "shopify-automation-guide",
    "title": "Shopify Admin API Automation Guide for Agents",
    "short": "Manage Shopify products, orders, inventory, and customers. Admin API reference for agents.",
    "long": "Complete Shopify Admin API guide: private app token vs OAuth setup, product and variant CRUD, order management (create/fulfill/refund), inventory tracking across locations, customer management, and webhook subscriptions for order events. Covers both REST and GraphQL Admin APIs. Includes rate limit strategies (Shopify's leaky bucket model) and patterns for e-commerce automation agents.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to sync product listings, process orders, update inventory, or trigger customer notifications in a Shopify store.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "shopify",
      "ecommerce",
      "orders",
      "inventory",
      "api"
    ],
    "install": "Download shopify-automation-guide.md — no installation required",
    "example_output": "Listed 234 products. Updated inventory for SKU-001: +50 units. Fetched 8 unfulfilled orders. Webhook registered for order.paid events.",
    "deliverables": [
      "Shopify API token setup + OAuth vs private app comparison",
      "Product, order, and inventory management examples",
      "Rate limit strategies + webhook setup for order events"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "hubspot-crm-guide",
    "title": "HubSpot CRM API Integration Guide for Agents",
    "short": "Log prospects, update deals, enroll contacts in sequences. HubSpot CRM automation reference.",
    "long": "Full HubSpot CRM API guide: private app token setup, contact/company/deal CRUD with custom properties, association management (contacts ↔ deals ↔ companies), list enrollment, workflow triggering, and timeline event creation. Covers HubSpot v3 API pagination, search filters, and batch operations for high-volume updates. Designed for agents that manage sales and marketing pipelines.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to log prospect data, update deal stages, enroll contacts in sequences, or pull pipeline reports from HubSpot CRM.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "hubspot",
      "crm",
      "sales",
      "marketing",
      "api"
    ],
    "install": "Download hubspot-crm-guide.md — no installation required",
    "example_output": "Created contact john@example.com. Associated with Deal 'Enterprise Renewal' ($50K, Stage: Negotiation). Enrolled in 'Follow-up' sequence.",
    "deliverables": [
      "HubSpot private app token setup + scope reference",
      "Contact/deal/company CRUD with custom property examples",
      "Association, list, and workflow trigger patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "marketing",
      "ops",
      "sales"
    ],
    "integrations": []
  },
  {
    "slug": "stripe-automation-guide",
    "title": "Stripe API Automation Guide for Agents",
    "short": "Create subscriptions, generate invoices, process refunds. Stripe API patterns for agents.",
    "long": "Complete Stripe API guide for agent automation: API key setup (test vs live), customer creation and management, charge and payment intent flows, subscription lifecycle (create/upgrade/cancel), invoice generation, webhook event handling for payment events, and refund/dispute patterns. Includes Stripe's idempotency key patterns for safe retries and test mode verification flows.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": "~2-5s (API calls to Stripe)",
    "agent_use_case": "Use when an agent needs to create subscriptions, generate invoices, process refunds, or listen for payment events in a billing automation workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "stripe",
      "payments",
      "billing",
      "subscriptions",
      "api"
    ],
    "install": "Download stripe-automation-guide.md — no installation required",
    "example_output": "{\"status\":\"active\",\"subscription_id\":\"sub_ABC123\",\"customer_id\":\"cus_X\"}",
    "deliverables": [
      "Stripe API key setup + test/live mode switching guide",
      "Customer, subscription, and invoice management examples",
      "Webhook event handling + idempotency key patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "finance",
      "ops"
    ],
    "integrations": [
      "stripe"
    ],
    "example_input": "{\"action\":\"create_subscription\",\"customer_email\":\"user@example.com\",\"price_id\":\"price_123\"}",
    "dependencies": [
      "Stripe API key",
      "network access"
    ],
    "failure_modes": "Requires valid Stripe API key; fails in test mode without proper session; rate-limited by Stripe",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "sendgrid-email-guide",
    "title": "SendGrid Email API Guide for Agents",
    "short": "Send transactional emails, manage lists, handle bounces. SendGrid API reference for agents.",
    "long": "Full SendGrid API guide for transactional email automation: API key setup, sending single and batch emails, dynamic template management, contact list CRUD, suppression group handling, bounce/spam event webhook processing, and domain authentication setup. Includes best practices for deliverability, sender reputation, and list hygiene. Covers both v3 Mail Send API and Marketing Campaigns API.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to send transactional emails, manage mailing lists, or process bounce/unsubscribe events as part of a communication workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "sendgrid",
      "email",
      "transactional",
      "deliverability",
      "api"
    ],
    "install": "Download sendgrid-email-guide.md — no installation required",
    "example_output": "Sent 500 transactional emails via template d-XYZ. Open rate: 42%. Bounce webhook: 3 addresses suppressed automatically.",
    "deliverables": [
      "SendGrid API key + domain authentication setup",
      "Transactional send, template management, and list CRUD examples",
      "Bounce/unsubscribe webhook handling + deliverability best practices"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "twilio-sms-guide",
    "title": "Twilio SMS & Voice API Guide for Agents",
    "short": "Send SMS, make voice calls, verify phone numbers. Twilio integration patterns for agents.",
    "long": "Complete Twilio API guide for agent communication workflows: Account SID/Auth token setup, sending SMS and MMS messages, making and receiving voice calls with TwiML, phone number verification (Lookup + Verify APIs), and webhook handling for inbound messages. Covers Twilio Messaging Services for high-volume sending, opt-out handling, and A2P 10DLC registration basics for US campaigns.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to send SMS alerts, verify phone numbers, or trigger voice calls as part of a notification or customer outreach workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "twilio",
      "sms",
      "voice",
      "communication",
      "api"
    ],
    "install": "Download twilio-sms-guide.md — no installation required",
    "example_output": "SMS sent to +1-555-0100: 'Your order ships today.' Verification code sent. Voice call initiated to +1-555-0200.",
    "deliverables": [
      "Twilio account setup + Account SID/Auth token guide",
      "SMS send, MMS, voice call, and Verify API examples",
      "Webhook setup for inbound messages + opt-out handling"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "aws-s3-guide",
    "title": "AWS S3 File Operations Guide for Agents",
    "short": "Upload, download, and manage S3 files. Generate presigned URLs. Complete agent reference.",
    "long": "Complete AWS S3 guide for agent file operations: IAM credential setup (access key vs instance role), bucket creation and policy configuration, file upload/download with multipart support for large files, listing objects with prefix/delimiter filters, generating presigned URLs for temporary access, and S3 event notification setup for trigger-based workflows. Includes boto3 and AWS CLI patterns.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": "~1-10s depending on file size",
    "agent_use_case": "Use when an agent needs to store and retrieve files from S3 — uploading reports, sharing temporary download links, or triggering workflows on file uploads.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "aws",
      "s3",
      "storage",
      "files",
      "cloud"
    ],
    "install": "Download aws-s3-guide.md — no installation required",
    "example_output": "{\"url\":\"https://s3.amazonaws.com/my-bucket/report.pdf\",\"presigned_expires\":\"1h\"}",
    "deliverables": [
      "IAM credential setup + bucket policy examples",
      "Upload/download/list patterns with boto3 and AWS CLI",
      "Presigned URL generation + S3 event notification setup"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": [
      "aws"
    ],
    "example_input": "{\"action\":\"upload\",\"bucket\":\"my-bucket\",\"file\":\"report.pdf\"}",
    "dependencies": [
      "AWS credentials (key or role)",
      "network access"
    ],
    "failure_modes": "Requires valid AWS credentials and IAM permissions; large uploads may need multipart",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "redis-patterns-guide",
    "title": "Redis Patterns Guide for Agents",
    "short": "Caching, pub/sub, rate limiting, and session storage. Redis patterns that work in agent workflows.",
    "long": "Comprehensive Redis patterns guide for agent backends: connection setup (Redis Cloud, local, Upstash), key-value caching with TTL and eviction policies, pub/sub messaging for inter-agent communication, session storage patterns, rate limiting with sliding window counters, and sorted sets for leaderboards and queues. Includes Python (redis-py) and Node.js (ioredis) examples throughout.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs a fast caching layer, real-time pub/sub channel for agent coordination, or shared session storage across multiple agent instances.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "redis",
      "caching",
      "pubsub",
      "database",
      "backend"
    ],
    "install": "Download redis-patterns-guide.md — no installation required",
    "example_output": "Cache hit rate: 94%. Pub/sub: 3 agents subscribed to 'task-queue' channel. Rate limiter: 98 req/min (limit: 100).",
    "deliverables": [
      "Redis connection setup guide (local, Cloud, Upstash)",
      "Caching, pub/sub, session, and rate limit pattern examples",
      "Eviction policy reference + key naming conventions"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "postgresql-guide",
    "title": "PostgreSQL Query Patterns Guide for Agents",
    "short": "Query patterns, connection pooling, and transaction management. PostgreSQL reference for agents.",
    "long": "Complete PostgreSQL guide for agent data pipelines: connection string setup and connection pooling with PgBouncer/asyncpg, parameterized query patterns to prevent SQL injection, transaction management for safe multi-step writes, JSONB operations for semi-structured data, full-text search with tsvector, and read replica routing for heavy query loads. Includes psycopg3 and asyncpg examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to read or write structured data from a PostgreSQL database — logging events, querying analytics, or managing relational state.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "postgresql",
      "database",
      "sql",
      "backend",
      "data"
    ],
    "install": "Download postgresql-guide.md — no installation required",
    "example_output": "Query returned 1,234 rows in 42ms. JSONB filter matched 87 records. Transaction committed (3 inserts, 1 update).",
    "deliverables": [
      "Connection pooling setup (PgBouncer, asyncpg, psycopg3)",
      "Parameterized queries, transactions, and JSONB pattern examples",
      "Full-text search setup + read replica routing patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "mongodb-guide",
    "title": "MongoDB CRUD & Aggregation Guide for Agents",
    "short": "CRUD, aggregation pipelines, and Atlas search. MongoDB patterns for agent data workflows.",
    "long": "Full MongoDB guide for agent workflows: connection setup (Atlas, local), CRUD operations with filter operators, aggregation pipeline patterns for analytics and transformation, index creation for query optimization, Atlas Search setup for full-text and vector search, and change stream subscriptions for real-time event triggers. Includes pymongo and Motor (async) examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to store and query document-oriented data in MongoDB — logging agent actions, storing LLM outputs, or running analytics aggregations.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "mongodb",
      "database",
      "nosql",
      "aggregation",
      "atlas"
    ],
    "install": "Download mongodb-guide.md — no installation required",
    "example_output": "Inserted 500 documents. Aggregation pipeline: grouped by category, summed revenue. Atlas Search query returned 12 semantic matches.",
    "deliverables": [
      "MongoDB Atlas connection setup + local dev configuration",
      "CRUD, aggregation pipeline, and index creation examples",
      "Atlas Search setup for full-text + vector search patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "dalle-image-guide",
    "title": "DALL-E 3 Image Generation Guide for Agents",
    "short": "Generate images from text descriptions with DALL-E. Prompt patterns and API reference.",
    "long": "Complete DALL-E 3 guide for agent image generation workflows: API key setup, prompt engineering patterns (style, composition, lighting, medium), size and quality parameter selection, image editing with inpainting, batch generation strategies, and cost management. Includes a library of proven prompt templates for common use cases (product photos, illustrations, diagrams, social media assets). Covers the revised_prompt response field and how to use it for iterative improvement.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate images from text descriptions for content creation, product visualization, or marketing asset production.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "dalle",
      "image-generation",
      "openai",
      "creative",
      "prompting"
    ],
    "install": "Download dalle-image-guide.md — no installation required",
    "example_output": "Generated product hero image (1792×1024, HD quality). Prompt: 'Minimalist coffee mug on white marble, soft window light, editorial photography style.' Cost: $0.08.",
    "deliverables": [
      "DALL-E 3 API setup + parameter reference (size, quality, style)",
      "Prompt engineering template library for 10 common use cases",
      "Batch generation patterns + cost optimization guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "stable-diffusion-guide",
    "title": "Stable Diffusion Local Setup Guide for Agents",
    "short": "Run Stable Diffusion locally. No API costs. Full control over image generation.",
    "long": "Step-by-step guide for setting up Stable Diffusion locally using AUTOMATIC1111 WebUI or ComfyUI: hardware requirements, model download (SDXL, SD 1.5), API mode activation, Python/REST API integration, ControlNet setup for pose and structure control, LoRA fine-tuning basics, and img2img workflows. Includes prompt positive/negative patterns and sampler selection guide. Replaces hours of forum diving.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate images without API costs — running Stable Diffusion locally for high-volume generation or proprietary data.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "stable-diffusion",
      "image-generation",
      "local",
      "ai",
      "comfyui"
    ],
    "install": "Download stable-diffusion-guide.md — no installation required",
    "example_output": "Local API running at http://localhost:7860. Generated 10 images in 45s on M2 Mac (SDXL Turbo). ControlNet pose applied.",
    "deliverables": [
      "AUTOMATIC1111 and ComfyUI setup guides for Mac/Linux/Windows",
      "API mode activation + Python/REST integration examples",
      "ControlNet setup, LoRA loading, and sampler selection guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "elevenlabs-voice-guide",
    "title": "ElevenLabs Voice Synthesis Guide for Agents",
    "short": "Generate natural speech from text. Voice selection, streaming, and latency tips.",
    "long": "Complete ElevenLabs TTS guide for agent voice workflows: API key setup, voice selection and cloning, text-to-speech generation with stability/similarity controls, streaming audio for low-latency playback, multilingual voice support, and cost optimization (character counting, model selection). Covers both the standard TTS endpoint and the Streaming endpoint for real-time applications. Includes voice library navigation tips.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate spoken audio from text — voice notifications, podcast narration, or voice interface responses.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "elevenlabs",
      "tts",
      "voice",
      "audio",
      "streaming"
    ],
    "install": "Download elevenlabs-voice-guide.md — no installation required",
    "example_output": "Generated 45-second narration with 'Adam' voice (stability: 0.75). Streaming latency: 380ms first byte. Cost: 1,100 characters.",
    "deliverables": [
      "ElevenLabs API key setup + voice library navigation guide",
      "TTS and streaming endpoint examples with stability/similarity parameters",
      "Cost optimization: model selection, character counting, caching patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "gpt-vision-guide",
    "title": "LLM Vision Guide for Agents",
    "short": "Extract text from images, analyze charts, parse documents. Vision API patterns for agents.",
    "long": "Full LLM vision integration guide (OpenAI GPT, Claude, Gemini): image URL vs base64 upload patterns, detail parameter (low/high) for cost vs accuracy tradeoffs, OCR and document parsing prompts, chart and diagram interpretation patterns, multi-image comparison workflows, and structured JSON output extraction from visual inputs. Includes a library of proven system prompts for common vision tasks (invoice parsing, screenshot analysis, product photo description).",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to extract text from images, analyze charts, parse documents, or describe visual content as structured data.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "vision-api",
      "vision",
      "ocr",
      "document-parsing",
      "openai"
    ],
    "install": "Download gpt-vision-guide.md — no installation required",
    "example_output": "Invoice parsed: Vendor=ACME Corp, Amount=$1,234.56, Date=2026-02-28, Line items=3. Confidence: high.",
    "deliverables": [
      "LLM vision API (OpenAI, Claude, Gemini) setup + image upload patterns (URL vs base64)",
      "System prompt library for 8 common vision tasks",
      "Cost optimization: detail parameter guide + token estimation"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "claude-vision-guide",
    "title": "Claude Vision Guide for Agents",
    "short": "Read screenshots, interpret diagrams, extract structured data from images with Claude.",
    "long": "Complete Claude vision guide for agent workflows: image attachment patterns via Anthropic API, screenshot analysis for UI testing and monitoring, diagram and flowchart interpretation, multi-page document processing, and structured data extraction from visual inputs. Covers Claude's media type support (JPEG, PNG, GIF, WebP), token cost estimation for images, and prompt patterns that maximize accuracy for document reading tasks.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to read screenshots, interpret diagrams, or extract structured data from document images using Claude.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "claude",
      "vision",
      "screenshots",
      "document-parsing",
      "anthropic"
    ],
    "install": "Download claude-vision-guide.md — no installation required",
    "example_output": "Screenshot analyzed: Login form detected, 3 input fields, error message visible: 'Invalid credentials'. Structured: {form: login, error: true}.",
    "deliverables": [
      "Claude vision API setup + image attachment patterns",
      "Prompt library for screenshots, diagrams, and document extraction",
      "Token cost estimation + media type support reference"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "code-execution-sandbox-guide",
    "title": "Code Execution Sandbox Guide for Agents (E2B)",
    "short": "Run untrusted code safely in E2B sandboxes. File I/O, package installs, isolation.",
    "long": "Full E2B sandbox integration guide: API key setup, creating sandbox environments (Python, Node.js, custom Docker), executing code with stdin/stdout capture, reading/writing files in sandbox, installing packages on-the-fly, streaming output for long-running processes, and sandbox lifecycle management (timeout, kill, reconnect). Includes patterns for safe agent code execution with input/output validation.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to execute untrusted or user-provided code safely — running data analysis scripts, testing generated code, or processing files in isolation.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "e2b",
      "sandbox",
      "code-execution",
      "security",
      "devtools"
    ],
    "install": "Download code-execution-sandbox-guide.md — no installation required",
    "example_output": "Sandbox created (Python 3.11). Script executed in 2.3s. Output: DataFrame with 500 rows. Files saved to /tmp/output/.",
    "deliverables": [
      "E2B API key setup + sandbox environment creation guide",
      "Code execution patterns with file I/O and package installs",
      "Lifecycle management: timeout, streaming output, safe teardown"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "vector-db-setup-guide",
    "title": "Vector Database Setup Guide for Agents",
    "short": "Set up Chroma or Pinecone for semantic search and RAG. Embedding storage and retrieval.",
    "long": "Complete vector database setup guide covering Chroma (local) and Pinecone (cloud): installation and index creation, embedding storage with metadata filtering, similarity search with top-k retrieval, hybrid search (dense + sparse), namespace management, and upsert/delete patterns. Includes OpenAI text-embedding-3-small integration examples and cost comparison between Chroma, Pinecone, Qdrant, and Weaviate.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": "~seconds-minutes (indexing depends on size)",
    "agent_use_case": "Use when an agent needs to store embeddings and perform semantic search — building a RAG knowledge base, finding similar documents, or clustering agent memories.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "vector-db",
      "chroma",
      "pinecone",
      "embeddings",
      "rag"
    ],
    "install": "Download vector-db-setup-guide.md — no installation required",
    "example_output": "{\"index\":\"chroma_main\",\"docs_indexed\":1000,\"query_latency_ms\":45}",
    "deliverables": [
      "Chroma local + Pinecone cloud setup guides with index creation",
      "Embedding storage, metadata filtering, and top-k search examples",
      "Hybrid search patterns + cost comparison across vector DBs"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": [],
    "example_input": "{\"engine\":\"chroma\",\"documents\":1000,\"embed_model\":\"text-embedding-3-small\"}",
    "dependencies": [
      "Embedding provider (OpenAI)",
      "vector DB service (Chroma/Pinecone)"
    ],
    "failure_modes": "Requires embedding API key; indexing can be slow and costly for large corpora",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "rag-pipeline-template",
    "title": "RAG Pipeline Template for Agents",
    "short": "Complete RAG pipeline: ingest, chunk, embed, retrieve, generate. Answer questions from your docs.",
    "long": "End-to-end Retrieval-Augmented Generation pipeline template: document loading (PDF, HTML, Markdown), text chunking strategies (fixed-size, sentence-aware, recursive), OpenAI embedding generation, vector store upsert, semantic retrieval with context assembly, and LLM generation with source citations. Includes reranking with cross-encoders, multi-query retrieval for better recall, and evaluation patterns (precision@k, context relevance). Production-ready from day one.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": "~1-10s (depends on embedding + retrieval)",
    "agent_use_case": "Use when an agent needs to answer questions from a custom document corpus — internal docs, product manuals, research papers, or support knowledge bases.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "rag",
      "retrieval",
      "embeddings",
      "vector-db",
      "llm"
    ],
    "install": "Download rag-pipeline-template.md — no installation required",
    "example_output": "{\"answer\":\"Refunds processed within 30 days\",\"sources\":[\"a.pdf:page3\"]}",
    "deliverables": [
      "Document loading + chunking strategy guide (fixed, sentence, recursive)",
      "Embedding → store → retrieve → generate pipeline code template",
      "Reranking, multi-query retrieval, and evaluation patterns"
    ],
    "asset_type": "skill",
    "use_cases": [],
    "integrations": [],
    "example_input": "{\"docs\":[\"a.pdf\",\"b.html\"],\"query\":\"refund policy\"}",
    "dependencies": [
      "Embedding API key",
      "vector DB or local store",
      "PDF/text parsers"
    ],
    "failure_modes": "Fails with scanned PDFs without OCR; requires embedding provider and sufficient quota",
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0",
      "last_updated": "2026-03-02"
    }
  },
  {
    "slug": "embeddings-search-guide",
    "title": "Semantic Search with OpenAI Embeddings Guide",
    "short": "Search by meaning, not keywords. OpenAI embeddings setup and query patterns.",
    "long": "Complete guide to building semantic search with OpenAI text-embedding-3-small and text-embedding-3-large: embedding generation in batches, cosine similarity search without a vector DB (numpy), integration with Chroma/Pinecone for larger corpora, metadata filtering patterns, and hybrid search combining BM25 keyword search with semantic reranking. Includes cost optimization strategies: caching embeddings, batching API calls, and model selection.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to search a document corpus by meaning rather than keywords — finding the most relevant passages for a given query.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "embeddings",
      "semantic-search",
      "openai",
      "nlp",
      "retrieval"
    ],
    "install": "Download embeddings-search-guide.md — no installation required",
    "example_output": "Embedded 10,000 documents (batched, $0.13 total). Search 'contract termination clauses' → top 5 passages with similarity scores.",
    "deliverables": [
      "OpenAI embedding API setup + batch generation patterns",
      "Cosine similarity search implementation (numpy + vector DB variants)",
      "Hybrid BM25 + semantic search and cost optimization guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "multimodal-pipeline-guide",
    "title": "Multimodal Pipeline Guide for Agents",
    "short": "Handle text, images, and audio in one workflow. Architecture and integration patterns.",
    "long": "Architecture guide for building multimodal agent pipelines that combine text, image, and audio inputs and outputs. Covers input routing (detecting modality, preprocessing), chaining vision models (OpenAI, Claude, Gemini) with text models, audio transcription with Whisper, image generation with DALL-E, output composition, and latency optimization for real-time multimodal workflows. Includes 3 complete example pipelines: document Q&A with images, video summary, and voice-to-structured-data.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to handle multiple input types in a single workflow — processing a PDF with embedded images, or responding to voice input with generated visuals.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "multimodal",
      "vision",
      "audio",
      "pipeline",
      "llm"
    ],
    "install": "Download multimodal-pipeline-guide.md — no installation required",
    "example_output": "Pipeline: audio transcribed → entities extracted → image generated → summary emailed. End-to-end latency: 8.2s.",
    "deliverables": [
      "Multimodal input routing + preprocessing architecture guide",
      "3 complete pipeline examples: document Q&A, video summary, voice-to-data",
      "Latency optimization and cost breakdown per modality"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "langchain-patterns-guide",
    "title": "LangChain Patterns Guide for Agents",
    "short": "Chains, tools, memory, and output parsing. Battle-tested LangChain patterns for agents.",
    "long": "Practical LangChain guide focused on patterns that actually work in production: LCEL chain composition, ReAct agent setup with custom tools, memory types (ConversationBufferMemory, VectorStoreRetrieverMemory), structured output parsing, and streaming responses. Covers common gotchas (runnable interface changes, deprecated APIs), debugging with LangSmith, and migration from legacy Chain API to LCEL. Includes 5 ready-to-run examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent is building with LangChain and needs battle-tested patterns for chains, tools, memory, and output parsing.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "langchain",
      "llm",
      "chains",
      "agents",
      "python"
    ],
    "install": "Download langchain-patterns-guide.md — no installation required",
    "example_output": "ReAct agent with 3 tools executed task in 4 turns. Memory: last 10 messages retained. Structured output parsed to Pydantic model.",
    "deliverables": [
      "LCEL chain composition patterns + ReAct agent setup guide",
      "Memory types reference + structured output parsing examples",
      "LangSmith debugging setup + LCEL migration from legacy Chain API"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "crewai-setup-guide",
    "title": "CrewAI Multi-Agent Setup Guide",
    "short": "Coordinate teams of specialized sub-agents. Researcher, writer, editor — working in sequence.",
    "long": "Full CrewAI setup guide: installation and basic crew definition, agent role design (researcher, writer, reviewer), task specification with context passing, tool assignment per agent, sequential vs hierarchical process selection, memory and caching configuration, and output parsing. Covers CrewAI v0.80+ API changes, Flow orchestration for complex pipelines, and cost management with model-per-agent settings. Includes 2 complete crew examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to coordinate a team of specialized sub-agents — a researcher, writer, and editor working in sequence on a content task.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "crewai",
      "multi-agent",
      "orchestration",
      "llm",
      "python"
    ],
    "install": "Download crewai-setup-guide.md — no installation required",
    "example_output": "Crew of 3 agents completed: research (8 sources), draft (1,200 words), editorial review (3 revisions). Total tokens: 24,000.",
    "deliverables": [
      "CrewAI installation + crew/agent/task definition guide",
      "Role design patterns + tool assignment per agent examples",
      "Flow orchestration and cost management with model-per-agent"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "autogen-setup-guide",
    "title": "AutoGen Multi-Agent Patterns Guide",
    "short": "Build conversational agent networks. Agents discuss, delegate, and iterate with human checkpoints.",
    "long": "Complete AutoGen setup guide: ConversableAgent and AssistantAgent configuration, GroupChat for multi-agent conversations, tool/function registration, human-in-the-loop approval patterns, nested chat for sub-task delegation, and conversation termination conditions. Covers AutoGen v0.4 (AgentChat API) changes, cost and token tracking, and patterns for code execution with human approval. Includes 3 working examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to build a conversational multi-agent system where agents discuss, delegate, and iterate on tasks with optional human checkpoints.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "autogen",
      "multi-agent",
      "conversational",
      "llm",
      "python"
    ],
    "install": "Download autogen-setup-guide.md — no installation required",
    "example_output": "3-agent GroupChat: planner proposed steps, coder implemented, reviewer approved. Human checkpoint triggered at code execution. Task complete in 6 turns.",
    "deliverables": [
      "AutoGen v0.4 installation + ConversableAgent/AssistantAgent setup",
      "GroupChat, tool registration, and human-in-the-loop patterns",
      "Nested chat delegation + conversation termination conditions"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "dify-workflow-guide",
    "title": "Dify LLM Workflow Builder Setup Guide",
    "short": "Visual LLM workflow builder. Prototype chatbots and RAG pipelines without code.",
    "long": "Complete Dify setup guide: self-hosted installation (Docker Compose), cloud account setup, building chatbot and workflow applications with the visual node editor, knowledge base creation for RAG, API deployment and endpoint authentication, webhook integrations, and model provider configuration (OpenAI, Anthropic, local models). Covers Dify's node types (LLM, code, tool, HTTP, template) and variable passing between nodes.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs a visual workflow builder for LLM pipelines — rapid prototyping of chatbots, RAG pipelines, or multi-step automations without writing code.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "dify",
      "workflow",
      "llm",
      "no-code",
      "rag"
    ],
    "install": "Download dify-workflow-guide.md — no installation required",
    "example_output": "Dify workflow deployed: 5-node RAG pipeline. API endpoint active at https://api.dify.ai/v1/workflows/run. 42 successful runs.",
    "deliverables": [
      "Dify self-hosted (Docker) + cloud setup guide",
      "Visual workflow builder: node types, variable passing, RAG integration",
      "API deployment + webhook + model provider configuration"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "fine-tuning-guide",
    "title": "LLM Fine-Tuning Guide for Agents",
    "short": "Train models for narrow tasks. Data prep, training, evaluation, and deployment patterns.",
    "long": "Complete LLM fine-tuning guide covering OpenAI and Together.ai (open-source models): training data format (JSONL messages format), data quality guidelines (minimum 50 examples, diversity requirements), upload and training job creation, evaluation with held-out test sets, model comparison against base model, and cost estimation. Includes a data preparation checklist and common failure patterns (overfitting, format errors).",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs a model specialized for a narrow task — structured extraction, domain-specific tone, or consistent output formatting that prompt engineering alone can't achieve.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "fine-tuning",
      "llm",
      "openai",
      "training",
      "ml"
    ],
    "install": "Download fine-tuning-guide.md — no installation required",
    "example_output": "Fine-tuned model ft:gpt-4.1-mini:org:my-task:ABC123. Training loss: 0.42 → 0.18. Eval accuracy: 94% vs 71% base model.",
    "deliverables": [
      "Training data format guide + quality checklist (JSONL, min 50 examples)",
      "OpenAI and Together.ai fine-tuning job creation walkthrough",
      "Evaluation methodology + cost estimation for training and inference"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "playwright-scraping-guide",
    "title": "Playwright Web Scraping Guide for Agents",
    "short": "Scrape modern JS-rendered websites. Selectors, pagination, auth flows, anti-detection.",
    "long": "Complete Playwright web scraping guide for agent data pipelines: browser setup (chromium, headed/headless), CSS and XPath selector patterns, handling pagination and infinite scroll, authentication flows (cookies, session reuse), screenshot capture for debugging, network interception for API response capture, and stealth mode anti-detection setup. Includes patterns for common dynamic content challenges (SPAs, lazy loading) and async Python examples.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to extract structured data from modern JavaScript-rendered websites that can't be scraped with simple HTTP requests.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "playwright",
      "scraping",
      "automation",
      "browser",
      "data"
    ],
    "install": "Download playwright-scraping-guide.md — no installation required",
    "example_output": "Scraped 500 product listings from e-commerce site. Handled login flow + 20 pages of pagination. Exported to products.csv.",
    "deliverables": [
      "Playwright installation + browser setup (chromium, stealth mode)",
      "Selector patterns, pagination, auth flow, and network interception examples",
      "Anti-detection setup + async Python patterns for data pipelines"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "data-extraction-pipeline",
    "title": "Structured Data Extraction Pipeline for Agents",
    "short": "Extract structured data from HTML, PDF, and JSON. Validation and schema normalization included.",
    "long": "End-to-end data extraction pipeline guide: HTML extraction with BeautifulSoup and CSS selectors, PDF table and text extraction with pdfplumber, JSON/JSONL parsing with schema validation, LLM-assisted extraction for unstructured text (schema-guided prompting), data cleaning and normalization patterns, and output validation with Pydantic. Covers deduplication, missing value handling, and pipeline orchestration with retry logic.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to extract and validate structured data from mixed-format sources — web pages, PDFs, and JSON APIs — into a consistent schema.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "data-extraction",
      "parsing",
      "pipeline",
      "structured-data",
      "python"
    ],
    "install": "Download data-extraction-pipeline.md — no installation required",
    "example_output": "Extracted 1,234 records from 3 sources (HTML + PDF + JSON). Validated against schema. 12 duplicates removed. Output: clean_data.csv.",
    "deliverables": [
      "HTML, PDF, and JSON extraction patterns with library reference",
      "LLM-assisted extraction prompts for unstructured text",
      "Pydantic validation + deduplication + pipeline orchestration examples"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data"
    ],
    "integrations": []
  },
  {
    "slug": "pdf-parsing-guide",
    "title": "PDF Parsing Guide for Agents",
    "short": "Pull text, tables, and images from PDFs. Works with financial reports, contracts, invoices.",
    "long": "Complete PDF parsing guide covering three libraries: pdfplumber (table extraction, bounding boxes), PyMuPDF/fitz (fast text extraction, image extraction, metadata), and LlamaParse (LLM-powered parsing for complex layouts). Covers multi-column layouts, scanned PDF OCR with Tesseract, table detection and export to CSV, and handling password-protected PDFs. Includes a decision tree for choosing the right library based on PDF complexity.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to extract text, tables, or images from PDF documents — financial reports, contracts, research papers, or invoices.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "pdf",
      "parsing",
      "extraction",
      "ocr",
      "data"
    ],
    "install": "Download pdf-parsing-guide.md — no installation required",
    "example_output": "Extracted 42 pages of text + 3 tables from annual_report.pdf. Table exported to report_tables.csv. Images saved to /imgs/.",
    "deliverables": [
      "Library comparison: pdfplumber vs PyMuPDF vs LlamaParse",
      "Table extraction, OCR setup (Tesseract), and image extraction examples",
      "Decision tree for PDF complexity + password-protected PDF handling"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "csv-excel-processing-guide",
    "title": "CSV & Excel Processing Guide for Agents",
    "short": "Clean, transform, and export CSV and Excel files. Pandas patterns for agent pipelines.",
    "long": "Comprehensive pandas guide for agent data pipelines: CSV and Excel read/write with dtype handling, data cleaning (missing values, duplicates, type coercion), merge and join patterns for combining datasets, groupby aggregations for summarization, time series resampling, and efficient handling of large files (chunked reading, dtypes optimization). Covers both pandas and polars for performance-critical pipelines, and openpyxl for Excel-specific formatting.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to process tabular data — cleaning a CSV, merging spreadsheets, or generating a summary report from Excel files.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "csv",
      "excel",
      "pandas",
      "data-processing",
      "python"
    ],
    "install": "Download csv-excel-processing-guide.md — no installation required",
    "example_output": "Loaded 50,000-row CSV. Cleaned: 234 nulls filled, 18 duplicates removed. Merged with reference table. Summary exported to report.xlsx.",
    "deliverables": [
      "Pandas read/write patterns for CSV and Excel with dtype handling",
      "Data cleaning, merge/join, groupby, and time series examples",
      "Large file handling: chunked reading, dtypes optimization, polars alternative"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "api-polling-guide",
    "title": "API Polling & Webhook Setup Guide for Agents",
    "short": "Poll APIs for changes or set up webhooks. React to events without constant checking.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to react to external events — triggering on new GitHub PR, Stripe payment, or Shopify order without constant polling.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "webhooks",
      "api-polling",
      "event-driven",
      "automation",
      "backend"
    ],
    "install": "Download api-polling-guide.md — no installation required",
    "example_output": "Webhook receiver running. Stripe payment.succeeded event received → invoice generated in 320ms. Signature verified. Retry acknowledged.",
    "deliverables": [
      "Polling strategies: interval, backoff, conditional with change detection",
      "Webhook receiver setup with signature verification (FastAPI/Flask)",
      "Polling vs webhook decision guide + idempotent event processing patterns"
    ],
    "long": "Complete guide to event-driven agent triggering: polling strategies (simple interval, exponential backoff, conditional polling), webhook receiver setup (FastAPI/Flask endpoints, signature verification, retry acknowledgment), webhook vs polling decision framework, and patterns for idempotent event processing. Covers ngrok for local webhook testing, common webhook providers (Stripe, GitHub, Shopify), and queue-based decoupling for high-volume events.",
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "news-aggregation-pipeline",
    "title": "News Aggregation Pipeline for Agents",
    "short": "Aggregate news from RSS, APIs, and web sources. Filter, deduplicate, summarize daily.",
    "long": "Complete news aggregation pipeline guide: RSS/Atom feed fetching with feedparser, NewsAPI integration for keyword and domain-specific news, web scraping with fallback for paywalled sources, deduplication by URL and headline similarity, relevance scoring and filtering with keyword/topic rules, and LLM-powered summarization into a daily digest format. Includes scheduling patterns for automated daily/hourly news pulls.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to monitor news on a topic — aggregating, deduplicating, and summarizing articles from multiple sources into a daily briefing.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "news",
      "rss",
      "aggregation",
      "research",
      "monitoring"
    ],
    "install": "Download news-aggregation-pipeline.md — no installation required",
    "example_output": "47 articles fetched from 12 sources. 8 duplicates removed. Top 5 most relevant stories ranked. 200-word digest generated.",
    "deliverables": [
      "RSS/Atom + NewsAPI fetch and deduplication pipeline",
      "Relevance scoring and topic filtering with keyword rules",
      "LLM summarization patterns for daily/hourly digest generation"
    ],
    "asset_type": "skill",
    "use_cases": [
      "dev",
      "devops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "social-listening-guide",
    "title": "Social Media Listening Guide for Agents",
    "short": "Track brand mentions and competitor activity across social platforms. Alert on signals.",
    "long": "Social media monitoring guide for agent pipelines: Twitter/X API v2 filtered stream and search endpoints, Reddit API (PRAW) for subreddit monitoring and comment search, mention aggregation across platforms, sentiment classification with LLMs, alert threshold configuration, and response draft generation for brand mentions. Covers API rate limits, free tier limitations, and cost-effective alternatives like Nitter, Pushshift, and social media scraping.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to track brand mentions, competitor activity, or topic conversations across social platforms and alert on significant signals.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "social-media",
      "monitoring",
      "twitter",
      "reddit",
      "sentiment"
    ],
    "install": "Download social-listening-guide.md — no installation required",
    "example_output": "82 mentions found for 'YourBrand' this week. Sentiment: 74% positive, 18% neutral, 8% negative. 3 responses drafted for negative mentions.",
    "deliverables": [
      "Twitter/X API v2 + Reddit PRAW setup and monitoring patterns",
      "Sentiment classification with LLM prompts + alert threshold config",
      "Response draft generation for brand mention workflows"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "devops"
    ],
    "integrations": []
  },
  {
    "slug": "financial-data-guide",
    "title": "Financial Data API Guide for Agents",
    "short": "Fetch stock prices, company financials, and market data. Yahoo Finance, Alpha Vantage, Polygon.",
    "long": "Complete financial data API guide for agent research workflows: Yahoo Finance (yfinance, no API key), Alpha Vantage (free tier, time series + fundamentals), Polygon.io (WebSocket streaming, options data), and FRED for macroeconomic data. Covers stock price history, company fundamentals (P/E, revenue, earnings), options chain data, crypto prices, and economic indicators. Includes data normalization patterns for cross-source analysis.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to fetch stock prices, company financials, or economic data for research, reporting, or investment analysis workflows.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "finance",
      "stocks",
      "data",
      "api",
      "research"
    ],
    "install": "Download financial-data-guide.md — no installation required",
    "example_output": "AAPL: $187.42 (+1.2%). P/E: 28.4. Revenue TTM: $385B. Options chain: 150 strikes fetched. FRED CPI: 3.2% YoY.",
    "deliverables": [
      "Yahoo Finance, Alpha Vantage, Polygon.io, and FRED setup guide",
      "Stock price, fundamentals, options chain, and crypto data examples",
      "Data normalization patterns for cross-source financial analysis"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev",
      "devops",
      "finance",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "academic-paper-guide",
    "title": "Academic Paper Fetching Guide for Agents",
    "short": "Find and summarize academic papers from ArXiv and Semantic Scholar. Literature review automation.",
    "long": "Complete guide to academic research automation: ArXiv API for paper search and PDF download, Semantic Scholar API for citation graphs and author profiles, PDF parsing with PyMuPDF for full text extraction, abstract and metadata normalization, and LLM-powered paper summarization with key findings extraction. Includes patterns for literature review automation — finding related papers, tracking author output, and building citation networks.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to find, download, and summarize academic papers — for literature reviews, research monitoring, or extracting key findings from a paper corpus.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "research",
      "arxiv",
      "academic",
      "papers",
      "nlp"
    ],
    "install": "Download academic-paper-guide.md — no installation required",
    "example_output": "Searched ArXiv for 'RAG survey'. Found 42 papers (2024–2026). Downloaded top 5 by citation count. Summaries generated with key findings.",
    "deliverables": [
      "ArXiv API + Semantic Scholar API setup and search patterns",
      "PDF full-text extraction with PyMuPDF + abstract normalization",
      "Literature review automation: citation graphs + paper summarization prompts"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "patent-search-guide",
    "title": "Patent Search Guide for Agents",
    "short": "Search USPTO and Google Patents. Claims, citations, and prior art analysis.",
    "long": "Complete patent search guide for agent research workflows: USPTO Patent Full-Text Database API and PatentsView API for structured patent data, Google Patents scraping patterns for broader coverage, patent claim parsing and normalization, prior art search strategies, citation graph analysis for technology lineage, and FTO (freedom-to-operate) research automation patterns. Includes IPC/CPC classification code navigation and assignee search.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to research patent landscape for a technology area — finding prior art, analyzing competitor patents, or tracking patent citations.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "patents",
      "research",
      "legal",
      "data",
      "api"
    ],
    "install": "Download patent-search-guide.md — no installation required",
    "example_output": "USPTO search for 'transformer attention mechanism': 234 patents found. Top assignees: Google (42), Microsoft (28). Citation graph: 5 key foundational patents.",
    "deliverables": [
      "USPTO PatentsView API + Google Patents setup and search patterns",
      "Patent claim parsing, IPC/CPC classification navigation guide",
      "Citation graph analysis + FTO research automation patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev",
      "devops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "daily-briefing-template",
    "title": "Daily Briefing Automation Template",
    "short": "Auto-generate morning briefings. News, calendar, tasks, and email in one update.",
    "long": "Complete daily briefing automation template: news aggregation from RSS/NewsAPI, Google Calendar event listing for the day, task list from Things 3 or Notion, weather for your location, and email digest of overnight messages. Combines multiple data sources into a structured briefing delivered via email, Slack, or WhatsApp. Includes scheduling via cron and customizable section order and priority filtering.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate and deliver a personalized morning briefing that consolidates news, calendar, tasks, and email into one structured update.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "briefing",
      "automation",
      "productivity",
      "news",
      "calendar"
    ],
    "install": "Download daily-briefing-template.md — no installation required",
    "example_output": "Good morning! Today: 3 meetings (9am standup, 2pm client call, 4pm review). 5 tasks due. Top news: AI regulation bill passes Senate. Weather: 68°F, sunny.",
    "deliverables": [
      "Multi-source briefing template: news + calendar + tasks + weather + email",
      "Delivery integration: email, Slack, WhatsApp, and plain text options",
      "Cron scheduling guide + section priority and filter customization"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "email-triage-template",
    "title": "Email Triage Automation Template",
    "short": "Classify incoming email, prioritize action items, draft replies. Inbox zero, automated.",
    "long": "Email triage automation template: Gmail/IMAP access patterns, LLM-based email classification (action required / FYI / newsletter / spam), urgency scoring, sender priority rules, draft reply generation for common email types, and bulk archive/label operations. Includes a daily triage summary format and integration with task managers (Notion, Things 3) for converting emails to tasks. Designed to reduce time-to-zero on inbox management.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to process an email inbox — classifying messages, prioritizing action items, and generating draft replies at scale.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "email",
      "triage",
      "gmail",
      "productivity",
      "automation"
    ],
    "install": "Download email-triage-template.md — no installation required",
    "example_output": "Inbox: 47 emails. Classified: 8 action required, 12 FYI, 27 archived. 8 draft replies generated. 3 tasks created in Notion.",
    "deliverables": [
      "Gmail/IMAP email fetch + LLM classification pipeline",
      "Draft reply generation for 6 common email types",
      "Task creation integration + daily triage summary format"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": [
      "gmail"
    ]
  },
  {
    "slug": "calendar-management-template",
    "title": "Calendar Management Automation Template",
    "short": "Find free slots, detect conflicts, send reminders. Calendar management on autopilot.",
    "long": "Calendar management automation template: Google Calendar and iCal integration, conflict detection for overlapping events, scheduling assistant patterns (find free slots, propose times, send invites), automated meeting reminder generation, recurring event management, and time zone handling for distributed teams. Includes a weekly calendar review format and patterns for agenda generation before meetings.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to manage a calendar — finding free slots, resolving conflicts, sending reminders, or generating meeting agendas automatically.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "calendar",
      "scheduling",
      "automation",
      "productivity",
      "google"
    ],
    "install": "Download calendar-management-template.md — no installation required",
    "example_output": "3 scheduling conflicts resolved. Meeting invite sent to 4 attendees (found mutual free slot: Thu 2pm PST). Reminder sent 30min before standup.",
    "deliverables": [
      "Google Calendar + iCal integration with conflict detection",
      "Free slot finder + scheduling assistant patterns",
      "Reminder automation + meeting agenda generation template"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "meeting-notes-pipeline",
    "title": "Meeting Notes Pipeline for Agents",
    "short": "Transcribe meetings, summarize key points, extract action items. Distribute automatically.",
    "long": "End-to-end meeting notes pipeline: audio transcription with Whisper (local) or Whisper API, speaker diarization for multi-speaker meetings, LLM-powered summarization with configurable detail level, action item extraction with owner and deadline parsing, decision log generation, and distribution via email, Notion, or Slack. Includes integration with Zoom, Google Meet, and Teams for automatic recording capture.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to process a meeting recording — transcribing, summarizing, extracting action items, and distributing the notes to attendees.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "meetings",
      "transcription",
      "notes",
      "action-items",
      "automation"
    ],
    "install": "Download meeting-notes-pipeline.md — no installation required",
    "example_output": "Meeting (42 min) transcribed. Summary: 3 decisions, 7 action items (owners + deadlines extracted). Notes sent to Notion + Slack #eng-updates.",
    "deliverables": [
      "Whisper transcription + speaker diarization setup guide",
      "LLM summarization + action item extraction pipeline",
      "Distribution integration: email, Notion, Slack + Zoom/Meet recording capture"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "content-publishing-pipeline",
    "title": "Content Publishing Pipeline for Agents",
    "short": "Keyword research to published blog post. Full content pipeline, minimal human input.",
    "long": "Complete content publishing automation pipeline: topic research with web search and SERP analysis, LLM-assisted outline and draft generation, editorial review with style guide enforcement, SEO optimization (title, meta, headings, internal links), image sourcing from Unsplash/DALL-E, and publishing to WordPress, Ghost, or Notion via API. Includes approval gate patterns and version history tracking. Reduces content production time by 80%.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to run end-to-end content production — from keyword research to published blog post — with minimal human input.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "content",
      "publishing",
      "seo",
      "wordpress",
      "automation"
    ],
    "install": "Download content-publishing-pipeline.md — no installation required",
    "example_output": "Post 'Top 10 AI Tools 2026' published to WordPress. 1,800 words, SEO score 87/100, featured image generated. Approval gate: 1 human edit.",
    "deliverables": [
      "Research → draft → edit → SEO optimize pipeline with LLM prompts",
      "WordPress, Ghost, and Notion publish API integration",
      "Approval gate patterns + image sourcing (Unsplash/DALL-E)"
    ],
    "asset_type": "skill",
    "use_cases": [
      "content",
      "ops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "lead-generation-pipeline",
    "title": "Lead Generation Pipeline for Agents",
    "short": "Find, enrich, score, and contact B2B leads. Automated sales prospecting pipeline.",
    "long": "End-to-end B2B lead generation pipeline: ICP definition and search (LinkedIn, Apollo, Hunter.io), lead data enrichment (company size, tech stack, recent news), lead scoring based on fit criteria, personalized outreach message generation, multi-channel outreach sequencing (email + LinkedIn + contact form), and CRM logging. Includes data quality verification steps and bounce prevention patterns. Full GDPR/CAN-SPAM compliance notes.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to autonomously find, enrich, score, and contact qualified B2B leads as part of a sales prospecting workflow.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "lead-gen",
      "sales",
      "outreach",
      "crm",
      "b2b"
    ],
    "install": "Download lead-generation-pipeline.md — no installation required",
    "example_output": "50 leads sourced, 42 enriched. Score: 18 high-fit (>80). Outreach sent to 18 leads: 4 email opens, 2 replies in 24h.",
    "deliverables": [
      "ICP definition + lead sourcing guide (LinkedIn, Apollo, Hunter.io)",
      "Enrichment + scoring model + personalized outreach generation",
      "Multi-channel sequence setup + CRM logging + compliance notes"
    ],
    "asset_type": "skill",
    "use_cases": [
      "research",
      "sales"
    ],
    "integrations": []
  },
  {
    "slug": "customer-support-triage",
    "title": "Customer Support Triage Automation Template",
    "short": "Classify tickets, auto-reply to FAQs, route complex issues. Support at scale.",
    "long": "Customer support triage automation template: ticket ingestion from Zendesk/Intercom/email, LLM-based classification (bug / billing / feature request / account / general), urgency scoring, knowledge base lookup for auto-reply generation, escalation routing rules, and SLA tracking. Includes sentiment analysis for high-frustration detection and VIP customer prioritization. Handles 60-80% of common tickets without human intervention.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to process a support queue — classifying tickets, generating auto-replies for FAQs, and routing complex issues to the right team.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "customer-support",
      "triage",
      "zendesk",
      "automation",
      "llm"
    ],
    "install": "Download customer-support-triage.md — no installation required",
    "example_output": "100 tickets processed. Auto-replied: 62 (billing: 24, account: 20, FAQ: 18). Escalated: 8 (bugs). Avg response time: 2.3min vs 4hr manual.",
    "deliverables": [
      "Ticket ingestion + LLM classification pipeline (6 categories)",
      "Knowledge base lookup + auto-reply generation patterns",
      "Escalation routing, SLA tracking, and VIP prioritization rules"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops",
      "support"
    ],
    "integrations": []
  },
  {
    "slug": "social-monitoring-template",
    "title": "Social Media Monitoring Template for Agents",
    "short": "Track brand mentions across platforms. Generate response drafts automatically.",
    "long": "Social media monitoring automation template: multi-platform mention tracking (Twitter/X, Reddit, LinkedIn, HackerNews), keyword and brand mention detection, sentiment classification, alert threshold configuration for volume spikes or negative sentiment, response draft generation for different mention types (praise, complaint, question, competitor mention), and daily/weekly mention digest delivery. Includes engagement priority scoring.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to track brand or keyword mentions across social platforms and generate response options for the communications team.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "social-media",
      "monitoring",
      "brand",
      "alerts",
      "sentiment"
    ],
    "install": "Download social-monitoring-template.md — no installation required",
    "example_output": "Week summary: 142 mentions (Twitter:80, Reddit:35, HN:27). Sentiment: 68% positive. 3 high-priority negative mentions → response drafts ready.",
    "deliverables": [
      "Multi-platform mention tracking setup (Twitter, Reddit, LinkedIn, HN)",
      "Sentiment classification + alert threshold configuration",
      "Response draft generation for 4 mention types + weekly digest format"
    ],
    "asset_type": "skill",
    "use_cases": [
      "devops"
    ],
    "integrations": []
  },
  {
    "slug": "competitive-intel-template",
    "title": "Competitive Intelligence Template for Agents",
    "short": "Track competitor pricing, features, hiring, and news. Weekly digest delivered.",
    "long": "Competitive intelligence automation template: competitor website monitoring with change detection, pricing page tracking with diff alerts, job posting analysis for strategic direction signals, press release and news monitoring, social media activity tracking, and weekly competitive digest generation. Combines web scraping, RSS monitoring, and LLM-powered analysis to surface actionable insights. Includes competitor comparison matrix template.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to maintain ongoing competitive intelligence — tracking competitor pricing, features, hiring, and public announcements.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "competitive-intel",
      "research",
      "monitoring",
      "strategy",
      "automation"
    ],
    "install": "Download competitive-intel-template.md — no installation required",
    "example_output": "Weekly intel: Competitor A raised prices 15%. Competitor B posted 8 ML engineer jobs. Competitor C launched new enterprise tier. Analysis + implications summary.",
    "deliverables": [
      "Competitor website change detection + pricing page monitoring",
      "Job posting analysis + news/PR monitoring pipeline",
      "Weekly competitive digest template + comparison matrix"
    ],
    "asset_type": "skill",
    "use_cases": [
      "devops",
      "ops",
      "research"
    ],
    "integrations": []
  },
  {
    "slug": "product-launch-template",
    "title": "Product Launch Checklist Automation Template",
    "short": "Coordinate product launches. Checklist management, stakeholder updates, go/no-go checks.",
    "long": "Product launch automation template: pre-launch checklist with automated status checks (QA sign-off, legal review, marketing assets, infrastructure readiness), stakeholder notification sequences, go/no-go decision framework with automated blockers detection, launch day coordination (time-sequenced task dispatch), and post-launch monitoring (error rate, conversion, social mentions). Keeps launches on track without spreadsheet chaos.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to coordinate a product launch — tracking checklist status, alerting stakeholders, and managing the go/no-go decision process.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "product-launch",
      "project-management",
      "checklist",
      "coordination",
      "automation"
    ],
    "install": "Download product-launch-template.md — no installation required",
    "example_output": "Launch T-24h: 18/22 checklist items complete. Blockers: 2 (legal review pending, CDN config). Stakeholders notified. Go/no-go: NOT YET.",
    "deliverables": [
      "Pre-launch checklist with automated status checks + blocker detection",
      "Stakeholder notification sequences for T-72h, T-24h, T-0, T+1h",
      "Launch day coordination timeline + post-launch monitoring setup"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "invoice-billing-template",
    "title": "Invoice & Billing Automation Template",
    "short": "Generate invoices, track payments, send overdue reminders. Billing without spreadsheets.",
    "long": "Invoice and billing automation template: invoice generation from line items (PDF + HTML formats), Stripe integration for payment link generation, payment status tracking via webhook, automated overdue reminder sequences (7-day, 14-day, 30-day), accounts receivable summary reports, and reconciliation with bank statements. Includes multi-currency support and tax calculation guidance for US/EU.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate client invoices, track payment status, and send automated reminders for overdue accounts.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "invoicing",
      "billing",
      "stripe",
      "payments",
      "automation"
    ],
    "install": "Download invoice-billing-template.md — no installation required",
    "example_output": "Invoice INV-2026-042 generated ($3,500). Payment link sent via email. Overdue reminder scheduled for Day 7. AR summary: $12,400 outstanding.",
    "deliverables": [
      "Invoice generation template (PDF + HTML) + Stripe payment link setup",
      "Payment tracking via webhook + overdue reminder sequence (7/14/30 days)",
      "AR summary report format + multi-currency + tax guidance"
    ],
    "asset_type": "skill",
    "use_cases": [
      "devops",
      "finance",
      "ops"
    ],
    "integrations": [
      "stripe"
    ]
  },
  {
    "slug": "expense-tracking-template",
    "title": "Expense Tracking & Report Automation Template",
    "short": "Log receipts, categorize spending, generate monthly reports. No manual data entry.",
    "long": "Expense tracking automation template: receipt image OCR and data extraction (vendor, amount, date, category), expense categorization with LLM classification, budget tracking against category limits, monthly expense report generation, and export to accounting software (QuickBooks/Xero CSV format). Integrates with corporate card transaction exports and bank statement parsing. Cuts monthly expense reporting from hours to minutes.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to process expense receipts, categorize spending, and generate monthly expense reports for accounting or reimbursement.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "expenses",
      "accounting",
      "ocr",
      "reporting",
      "automation"
    ],
    "install": "Download expense-tracking-template.md — no installation required",
    "example_output": "47 expenses processed ($8,234 total). Top categories: Travel ($3,100), SaaS ($2,800), Meals ($890). Budget alert: Marketing 94% of limit. Report exported.",
    "deliverables": [
      "Receipt OCR + LLM categorization pipeline (8 expense categories)",
      "Budget tracking + alert thresholds + monthly report generation",
      "QuickBooks/Xero CSV export + bank statement parsing patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "finance",
      "marketing",
      "ops"
    ],
    "integrations": [
      "sheets"
    ]
  },
  {
    "slug": "hiring-pipeline-template",
    "title": "Hiring Pipeline Automation Template",
    "short": "JD generation, resume screening, interview scheduling. Hiring on autopilot.",
    "long": "End-to-end hiring automation template: job description generation from role spec, multi-channel posting (LinkedIn, Lever, Greenhouse via API), resume screening with LLM-based scoring against criteria, automated rejection and advancement emails, interview scheduling with calendar integration, scorecard generation for panel interviews, and offer letter generation. Reduces time-to-hire by 60% for repeatable roles.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to run a hiring process — from job description to scheduled interviews — with automated screening and communication at each stage.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "hiring",
      "recruiting",
      "hr",
      "automation",
      "pipeline"
    ],
    "install": "Download hiring-pipeline-template.md — no installation required",
    "example_output": "120 applications received. Screened: 28 advance (score >80%), 92 rejected (auto email sent). 12 interviews scheduled. 3 offers generated.",
    "deliverables": [
      "JD generation template + multi-channel posting API guide",
      "Resume screening pipeline with LLM scoring against criteria",
      "Interview scheduling + scorecard + offer letter generation templates"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "onboarding-template",
    "title": "Employee & User Onboarding Automation Template",
    "short": "Welcome emails, setup tasks, check-ins, completion tracking. Onboarding that runs itself.",
    "long": "Onboarding automation template covering both employee and user (SaaS) onboarding: welcome email sequence generation, setup task list with automated status checks, progressive disclosure of features/information, day-1/day-7/day-30 check-in automation, Slack/Teams integration for team introductions, account provisioning checklist, and onboarding completion tracking with NPS survey trigger. Reduces drop-off and speeds time-to-productive.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to run a new employee or user through an onboarding sequence — task delivery, check-ins, and completion tracking.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "onboarding",
      "hr",
      "automation",
      "email",
      "saas"
    ],
    "install": "Download onboarding-template.md — no installation required",
    "example_output": "New hire Jane Smith: Day 1 tasks sent (8 items). Day 7 check-in scheduled. Slack intro posted to #team. Setup: 6/8 tasks complete.",
    "deliverables": [
      "Welcome email sequence + progressive task list automation",
      "Day-1/7/30 check-in templates + NPS survey trigger",
      "Account provisioning checklist + Slack/Teams intro integration"
    ],
    "asset_type": "skill",
    "use_cases": [
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "weekly-report-template",
    "title": "Weekly Report Automation Template",
    "short": "Pull metrics, write executive summary, distribute to stakeholders. Weekly reports, automated.",
    "long": "Weekly report automation template: multi-source data collection (analytics, CRM, project management), metric summarization with trend analysis (WoW, MoM comparisons), narrative generation with LLM for executive summary, chart data preparation for Google Sheets or Notion, and automated delivery via email and Slack. Covers customizable report sections and configurable data source connectors. Replaces 2-3 hours of manual report assembly each week.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to compile and deliver a weekly status report — pulling metrics from multiple sources, writing an executive summary, and distributing to stakeholders.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "reporting",
      "analytics",
      "automation",
      "weekly",
      "metrics"
    ],
    "install": "Download weekly-report-template.md — no installation required",
    "example_output": "Week 8 Report: Revenue $142K (+12% WoW). 234 new signups. 3 deals closed ($47K). LLM summary: 'Strong growth week driven by...' Sent to 5 stakeholders.",
    "deliverables": [
      "Multi-source data collection connectors (analytics, CRM, PM tools)",
      "Metric trend analysis + LLM executive summary generation",
      "Google Sheets/Notion chart prep + email/Slack delivery setup"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "cicd-pipeline-guide",
    "title": "CI/CD Pipeline Guide for Agents",
    "short": "GitHub Actions CI/CD patterns. Build, test, deploy, and rollback — agent-ready.",
    "long": "Complete CI/CD guide for agent-driven development: GitHub Actions workflow composition (triggers, jobs, steps), build matrix for multi-platform/version testing, secrets management and environment protection rules, deployment strategies (blue-green, canary, rolling), rollback automation on failure, and notification integration for build status. Covers common patterns: Node.js, Python, Docker image builds, and static site deployments. Includes cost optimization for GitHub Actions minutes.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to design, debug, or automate a CI/CD pipeline — setting up GitHub Actions, managing secrets, or orchestrating multi-stage deployments.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "cicd",
      "github-actions",
      "devtools",
      "deployment",
      "automation"
    ],
    "install": "Download cicd-pipeline-guide.md — no installation required",
    "example_output": "GitHub Actions workflow: build (2m) → test (4m) → deploy to staging → smoke test → promote to prod. Rollback triggered on smoke test failure.",
    "deliverables": [
      "GitHub Actions workflow templates for Node.js, Python, Docker, static sites",
      "Secrets management, environment protection, and deployment strategy patterns",
      "Rollback automation + notification integration + cost optimization guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops",
      "ops"
    ],
    "integrations": [
      "github"
    ]
  },
  {
    "slug": "docker-automation-guide",
    "title": "Docker Automation Guide for Agents",
    "short": "Build, push, and run Docker containers. Compose stacks for multi-service setups.",
    "long": "Complete Docker guide for agent automation: Dockerfile best practices (multi-stage builds, layer caching, minimal base images), Docker CLI patterns for build/run/exec/inspect, Docker Compose for multi-service stacks, image registry push/pull (Docker Hub, ECR, GCR), container health checks, log management with docker logs and log drivers, and resource limit configuration. Includes patterns for running ephemeral agent task containers and cleanup automation.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to build Docker images, manage container lifecycles, or orchestrate multi-container stacks as part of a deployment or testing workflow.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "docker",
      "containers",
      "devtools",
      "deployment",
      "automation"
    ],
    "install": "Download docker-automation-guide.md — no installation required",
    "example_output": "Image built (420MB → 85MB with multi-stage). Pushed to ECR. Compose stack: 3 services up (api, db, redis). Health checks: all passing.",
    "deliverables": [
      "Dockerfile patterns: multi-stage builds, layer caching, minimal images",
      "Docker CLI + Compose patterns for build/run/manage/cleanup",
      "Registry push/pull, health checks, log management, and resource limits"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "kubernetes-monitoring-guide",
    "title": "Kubernetes Monitoring Guide for Agents",
    "short": "Check cluster health, tail pod logs, trigger scaling. K8s monitoring for agents.",
    "long": "Kubernetes monitoring guide for agent workflows: kubectl command patterns for pod/deployment/service status, log aggregation with kubectl logs and multi-container log tailing, event watching for cluster health alerts, HPA (Horizontal Pod Autoscaler) status and trigger patterns, resource usage with kubectl top, and namespace-scoped queries for multi-tenant clusters. Covers both imperative kubectl and declarative manifest patterns for agent-driven cluster management.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to check cluster health, tail pod logs, investigate failed deployments, or trigger scaling operations in a Kubernetes environment.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "kubernetes",
      "k8s",
      "devops",
      "monitoring",
      "devtools"
    ],
    "install": "Download kubernetes-monitoring-guide.md — no installation required",
    "example_output": "Cluster: 12 pods running, 1 CrashLoopBackOff (payment-service). Logs: OOM error at 09:42. HPA triggered: replicas 2→4. Event: ImagePullBackOff resolved.",
    "deliverables": [
      "kubectl patterns: pod status, logs, events, and resource usage",
      "HPA monitoring + scaling trigger patterns",
      "Namespace-scoped queries + multi-container log tailing examples"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "log-analysis-guide",
    "title": "Log Analysis & Anomaly Detection Guide for Agents",
    "short": "Find error patterns and anomalies in application logs. Incident summary generation.",
    "long": "Complete log analysis guide for agent monitoring workflows: structured log parsing (JSON, logfmt, custom formats), log aggregation from files, CloudWatch, Datadog, and Loki, pattern extraction with regex and LLM-assisted parsing, anomaly detection (volume spikes, error rate thresholds, new error patterns), alert generation with context, and log summarization for incident response. Includes common log formats reference (nginx, gunicorn, postgres) and LLM-powered root cause analysis prompts.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to analyze application logs — finding error patterns, detecting anomalies, or summarizing what happened during an incident.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "logs",
      "monitoring",
      "anomaly-detection",
      "devops",
      "observability"
    ],
    "install": "Download log-analysis-guide.md — no installation required",
    "example_output": "Log analysis (10k lines): 42 errors (3 new patterns). Anomaly: error rate 0.3% → 4.2% at 14:23. Root cause: database connection timeout. Alert generated.",
    "deliverables": [
      "Structured log parsing patterns (JSON, logfmt) + common format reference",
      "Anomaly detection: volume spikes, error rate thresholds, new patterns",
      "LLM root cause analysis prompts + incident summary generation"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "sentry-integration-guide",
    "title": "Sentry Error Tracking Integration Guide for Agents",
    "short": "Monitor app errors, triage issues, correlate with deployments. Sentry API for agents.",
    "long": "Full Sentry integration guide for agent error monitoring workflows: SDK setup for Python/Node.js/browser, issue API for querying and managing errors, alert rule configuration, release tracking for version-to-error correlation, performance monitoring (transaction traces, span data), and Sentry webhook setup for real-time error notifications. Includes patterns for automated triage agents that classify errors, check for regressions, and route to the right team.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to monitor application errors, triage new issues, or correlate error spikes with deployments using Sentry.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "sentry",
      "error-tracking",
      "monitoring",
      "devops",
      "alerts"
    ],
    "install": "Download sentry-integration-guide.md — no installation required",
    "example_output": "New issue: NullPointerException in payment-service (12 occurrences, 8 users affected). Regression vs v2.1.0. Alert routed to #backend-oncall.",
    "deliverables": [
      "Sentry SDK setup (Python/Node.js) + Issue API query patterns",
      "Alert rule configuration + release tracking for regression detection",
      "Webhook setup for real-time error notifications + triage agent patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "performance-monitoring-guide",
    "title": "Performance Monitoring Setup Guide for Agents",
    "short": "APM setup with Datadog, New Relic, or OpenTelemetry. Metrics, traces, alerts.",
    "long": "Complete APM setup guide covering Datadog, New Relic, and OpenTelemetry: agent installation and service auto-instrumentation, custom metric creation and dashboards, distributed trace collection and analysis, SLO/SLA configuration with error budget tracking, anomaly detection alerts, and API access patterns for querying metrics and traces from agent workflows. Includes a comparison of free tiers and cost estimation for production workloads.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to check application performance, query latency metrics, or investigate trace data for a slow endpoint or service.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "apm",
      "monitoring",
      "datadog",
      "opentelemetry",
      "observability"
    ],
    "install": "Download performance-monitoring-guide.md — no installation required",
    "example_output": "P99 latency: 340ms (SLO: <500ms). Error rate: 0.12%. Top slow trace: /api/checkout (820ms) — DB query bottleneck identified in span data.",
    "deliverables": [
      "Datadog, New Relic, and OpenTelemetry setup + auto-instrumentation guide",
      "Custom metrics, dashboard creation, and SLO configuration patterns",
      "API access for querying metrics/traces + cost comparison across providers"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "devops"
    ],
    "integrations": []
  },
  {
    "slug": "security-scanning-guide",
    "title": "Security Scanning Automation Guide for Agents",
    "short": "Scan code for vulnerabilities, exposed secrets, and insecure patterns. Ship secure.",
    "long": "Security scanning automation guide for agent-driven development: dependency vulnerability scanning with Dependabot, Snyk, and Safety (Python), SAST with Semgrep for code pattern analysis, secret detection with Gitleaks and TruffleHog to prevent credential leaks, container image scanning with Trivy, and GitHub Security Advisories API for CVE lookups. Includes patterns for automated security PR comments and CI/CD gate integration.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to scan a codebase or container for vulnerabilities, exposed secrets, or insecure patterns before deployment.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "security",
      "scanning",
      "devtools",
      "sast",
      "vulnerabilities"
    ],
    "install": "Download security-scanning-guide.md — no installation required",
    "example_output": "Scan complete: 3 high CVEs (lodash, requests, urllib3). 1 secret exposed in commit abc123. 4 Semgrep SAST findings. Remediation PRs opened.",
    "deliverables": [
      "Dependency scanning (Snyk/Safety), SAST (Semgrep), secret detection (Gitleaks)",
      "Container image scanning with Trivy + GitHub Security Advisories API",
      "CI/CD gate integration + automated security PR comment patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "code-review-automation",
    "title": "Automated Code Review Guide for Agents",
    "short": "Auto-check PRs: lint, test coverage, security scan, LLM review. Ship faster.",
    "long": "Complete automated code review guide: GitHub Actions PR check orchestration, ESLint/Black/Ruff linting enforcement, test coverage reporting with threshold gates, LLM-powered code review comments (logic issues, code smell, security patterns), diff-aware review focusing only on changed code, and PR approval workflows. Includes patterns for per-language review rules and constructive review comment generation that developers actually find helpful.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to review pull requests — running automated checks and generating code review comments on diff changes.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "code-review",
      "pr",
      "lint",
      "devtools",
      "automation"
    ],
    "install": "Download code-review-automation.md — no installation required",
    "example_output": "PR #84 reviewed: lint pass, coverage 87% (threshold met), 3 LLM comments (1 security concern, 2 style suggestions). Status: approved with suggestions.",
    "deliverables": [
      "GitHub Actions PR check orchestration: lint, tests, coverage, security",
      "LLM diff-aware code review prompt patterns (logic, security, style)",
      "PR approval workflow + constructive comment generation examples"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "documentation-gen-guide",
    "title": "Documentation Generation Guide for Agents",
    "short": "Generate docs from source code. JSDoc, Sphinx, MkDocs. Keep docs in sync.",
    "long": "Complete documentation generation guide: JSDoc for JavaScript/TypeScript API docs, Sphinx for Python packages (autodoc, Napoleon extensions), MkDocs with Material theme for project sites, and LLM-assisted docstring generation for undocumented code. Covers GitHub Actions publishing to GitHub Pages or ReadTheDocs, versioned docs, and patterns for keeping documentation in sync with code changes via diff-aware update workflows.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to generate or update project documentation from source code — API docs, README updates, or a full documentation site.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "documentation",
      "jsdoc",
      "sphinx",
      "mkdocs",
      "devtools"
    ],
    "install": "Download documentation-gen-guide.md — no installation required",
    "example_output": "Documentation generated: 142 functions documented. MkDocs site built (38 pages). Published to GitHub Pages. 12 missing docstrings detected + LLM-generated.",
    "deliverables": [
      "JSDoc, Sphinx, and MkDocs setup and build pipeline guide",
      "LLM-assisted docstring generation for undocumented functions",
      "GitHub Actions publish workflow + versioned docs + ReadTheDocs setup"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev"
    ],
    "integrations": []
  },
  {
    "slug": "api-testing-guide",
    "title": "API Testing Automation Guide for Agents",
    "short": "Validate API behavior with Postman, pytest, and contract tests. Catch bugs early.",
    "long": "Complete API testing guide for agent-driven quality workflows: Postman collection management and Newman CLI for CI/CD integration, pytest with httpx/requests for programmatic API tests, contract testing with Pact for consumer-provider agreements, load testing patterns with Locust, and OpenAPI spec validation. Includes test data management patterns, authentication setup for test environments, and diff-based regression detection for API responses.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to validate API behavior — running regression tests, checking endpoint responses, or verifying contract compliance after a deployment.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "api-testing",
      "postman",
      "pytest",
      "devtools",
      "quality"
    ],
    "install": "Download api-testing-guide.md — no installation required",
    "example_output": "Test run: 87 API tests executed. Pass: 85, Fail: 2 (/orders endpoint 500 error, /users response schema mismatch). Regression: 1 new failure vs baseline.",
    "deliverables": [
      "Postman Newman CLI + pytest/httpx API test patterns",
      "Contract testing with Pact + OpenAPI spec validation setup",
      "Load testing with Locust + regression detection patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "browser-automation-guide",
    "title": "Browser Automation Guide for Agents",
    "short": "Fill forms, click through workflows, extract data from JS-rendered pages. Playwright + Puppeteer.",
    "long": "Complete browser automation guide covering Playwright (recommended) and Puppeteer: browser launch options (headed/headless, persistent context), page navigation and wait strategies, form filling and button clicking, file upload/download handling, screenshot and PDF capture, and cookie/session management for authenticated workflows. Includes patterns for handling common challenges: CAPTCHAs, popups, iframes, and SPAs with dynamic content. Production-ready patterns for scraping and RPA workflows.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to interact with a website UI — filling forms, clicking through a workflow, or extracting data from JavaScript-rendered pages.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "browser-automation",
      "playwright",
      "puppeteer",
      "rpa",
      "scraping"
    ],
    "install": "Download browser-automation-guide.md — no installation required",
    "example_output": "Logged into portal. Navigated to reports page. Filled date range form. Downloaded report.xlsx. Screenshot captured for audit log.",
    "deliverables": [
      "Playwright + Puppeteer setup and browser launch option reference",
      "Form interaction, navigation, file handling, and session management examples",
      "Anti-detection patterns + CAPTCHA and iframe handling strategies"
    ],
    "asset_type": "skill",
    "use_cases": [
      "data",
      "design",
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "prompt-engineering-guide",
    "title": "Prompt Engineering Guide for Agents",
    "short": "Chain-of-thought, few-shot, structured output. Prompting strategies that work in production.",
    "long": "Comprehensive prompt engineering guide for agent builders: zero-shot vs few-shot vs chain-of-thought patterns, structured output prompting (JSON mode, XML tags, Pydantic schema), role and persona prompting for consistent behavior, self-consistency and majority voting for higher accuracy, prompt chaining for complex multi-step tasks, and evaluation methodology for measuring prompt performance. Includes a library of 20 reusable system prompt templates across common domains.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs reliable prompts for a new task — choosing the right prompting strategy and testing for consistency before production.",
    "install_complexity": "instant",
    "buy_url": "",
    "tags": [
      "prompting",
      "llm",
      "chain-of-thought",
      "few-shot",
      "ai"
    ],
    "install": "Download prompt-engineering-guide.md — no installation required",
    "example_output": "Chain-of-thought prompt achieved 94% accuracy on classification task (vs 72% zero-shot). Structured JSON output: 0 parsing errors across 500 calls.",
    "deliverables": [
      "Prompting technique reference: zero-shot, few-shot, CoT, structured output",
      "20 reusable system prompt templates for common agent domains",
      "Evaluation methodology + self-consistency patterns for reliability"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "agent-memory-guide",
    "title": "Agent Memory Architecture Guide",
    "short": "Design persistent memory: in-context, episodic, semantic. Remember across sessions.",
    "long": "Comprehensive guide to agent memory architectures: in-context memory management (summarization, truncation strategies), episodic memory with vector stores for past conversation retrieval, semantic memory for facts and knowledge (embedding-based), procedural memory for learned workflows, and hybrid memory systems combining multiple types. Covers Mem0, Zep, and LangChain Memory implementations with code examples. Includes cost analysis for different memory strategies.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to remember past interactions, maintain user preferences, or access a knowledge base across multiple sessions.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "memory",
      "rag",
      "vector-db",
      "agent",
      "llm"
    ],
    "install": "Download agent-memory-guide.md — no installation required",
    "example_output": "Agent recalled: user preference for formal tone (episodic). Retrieved 3 relevant past interactions (semantic). Context assembled in 120ms.",
    "deliverables": [
      "Memory architecture comparison: in-context vs episodic vs semantic",
      "Mem0, Zep, and LangChain Memory implementation examples",
      "Cost analysis + hybrid memory strategy design patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design"
    ],
    "integrations": []
  },
  {
    "slug": "task-queue-guide",
    "title": "Task Queue Guide for Agents",
    "short": "Dispatch background tasks with Celery, RQ, or BullMQ. Reliable async processing.",
    "long": "Complete task queue guide for agent background processing: Celery with Redis or RabbitMQ broker setup, task definition and retry policies, priority queues for urgent vs batch tasks, task chaining for multi-step pipelines, monitoring with Flower dashboard, and patterns for agent-dispatched background jobs. Also covers BullMQ (Node.js) and Python RQ for simpler deployments. Includes dead-letter queue handling and task result storage patterns.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent needs to dispatch long-running tasks asynchronously — processing reports, sending bulk emails, or running background analysis without blocking.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "task-queue",
      "celery",
      "async",
      "backend",
      "automation"
    ],
    "install": "Download task-queue-guide.md — no installation required",
    "example_output": "Task 'generate-report' dispatched (priority: high). Queue depth: 12. Worker processed in 8.3s. Result stored. Dead-letter: 0 failed tasks.",
    "deliverables": [
      "Celery + Redis setup with retry policies and priority queue configuration",
      "Task chaining, result storage, and Flower monitoring guide",
      "BullMQ and RQ alternatives + dead-letter queue handling patterns"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "ops"
    ],
    "integrations": []
  },
  {
    "slug": "openai-agents-sdk-guide",
    "title": "OpenAI Agents SDK Guide",
    "short": "Build production agents with OpenAI's SDK. Tools, handoffs, guardrails, and tracing.",
    "long": "Complete guide to the OpenAI Agents SDK (formerly Swarm): agent definition with instructions and tools, tool function registration with type annotations, agent handoffs for multi-agent routing, input and output guardrails for safety, streaming responses, and OpenAI Tracing for debugging agent runs. Covers the Responses API and how it differs from Chat Completions. Includes patterns for building reliable tool-using agents with proper error handling and fallback strategies.",
    "price": 0,
    "price_tier": "free",
    "category": "skill",
    "runtime": [
      "any-agent"
    ],
    "agent_use_case": "Use when an agent is building with the OpenAI Agents SDK and needs production-ready patterns for tools, multi-agent handoffs, and observability.",
    "install_complexity": "5min",
    "buy_url": "",
    "tags": [
      "openai",
      "agents-sdk",
      "tools",
      "multi-agent",
      "llm"
    ],
    "install": "Download openai-agents-sdk-guide.md — no installation required",
    "example_output": "Agent run: 3 tool calls (web_search x2, send_email x1). Handoff to billing-agent triggered. Guardrail: PII redacted from output. Trace: 4.2s total.",
    "deliverables": [
      "OpenAI Agents SDK setup + agent/tool definition patterns",
      "Handoffs, guardrails, and streaming response examples",
      "Tracing + debugging patterns + Responses API vs Chat Completions guide"
    ],
    "asset_type": "skill",
    "use_cases": [
      "design",
      "dev",
      "devops"
    ],
    "integrations": []
  },
  {
    "slug": "agent-outbound-sales-playbook",
    "title": "Agent-Native Outbound Sales Playbook",
    "short": "Run complete B2B cold outreach campaigns autonomously — prospect research, multi-channel outreach, follow-up sequences, and CRM updates without human involvement.",
    "long": "A complete B2B cold outreach system your agent runs end-to-end: prospect research with MX record verification (prevents hallucinated contacts), multi-channel outreach (email + contact form + LinkedIn), Day 1/3/7 follow-up sequences, CRM update automation, and a bounce circuit breaker that auto-pauses if bounce rate exceeds 20%. Processes 100 contacts per cycle. Replaces 40+ hours of manual outreach setup. Total cost per 100-contact campaign: ~$3–15 including tokens + SendGrid. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 199,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/6oUcMY1m575x7Z49ANcAo0x",
    "tags": [
      "playbook",
      "sales",
      "outreach",
      "crm",
      "email",
      "automation",
      "b2b"
    ],
    "install": "Download playbook-agent-outbound-sales-playbook.md → follow SOP → your agent runs the full workflow",
    "example_output": "Campaign complete. 100 contacts processed, 87 emails sent (13 quarantined—MX fail). Bounce rate: 4.6%. Replies: 12 (13.8%). 3 deals created in CRM.",
    "deliverables": [
      "Complete SOP (step-by-step) for 100-contact outbound campaigns",
      "MX record verification gate (Python) — prevents hallucinated prospects",
      "Bounce circuit breaker — auto-pauses at >20% bounce rate",
      "Multi-channel templates: email (Day 1/3/7) + contact form + LinkedIn",
      "CRM update automation (HubSpot REST API)",
      "Campaign report generator",
      "Error handling + fallbacks for every stage",
      "Cost estimates: ~$3–15/100 contacts"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + Python 3.10+ for MX verification",
    "agent_use_case": "Use when your agent needs to run an autonomous B2B cold outreach campaign — from prospect research through multi-channel outreach, follow-up sequences, and CRM updates.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "marketing",
      "ops",
      "research",
      "sales"
    ],
    "integrations": [],
    "example_input": "Run a 100-contact outbound campaign targeting SaaS CTOs in Series A-B companies. Use email + contact form channels with Day 1/3/7 follow-ups.",
    "dependencies": [
      "SendGrid API key",
      "HubSpot or CRM access",
      "Python 3.10+ for MX verification"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "multi-agent-content-machine",
    "title": "Multi-Agent Content Machine Playbook",
    "short": "Publish 5–10 SEO-optimized articles per day using a 4-agent pipeline: Researcher → Writer → Editor → Publisher — zero human involvement.",
    "long": "A 4-agent content pipeline your orchestrator runs end-to-end. Researcher agents analyze competitors and find keyword gaps. Writer agents produce 2,000+ word SEO-structured articles. Editor agents enforce quality gates (score ≥75) with fact-check, tone, and readability passes. Publisher agents format and deploy to WordPress, Ghost, or Notion. Includes complete handoff schemas, agent prompts, and quality gate logic. Each article costs ~$0.04–0.08 in tokens. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 149,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/8x23co8OxahJfrw3cpcAo0y",
    "tags": [
      "playbook",
      "content",
      "seo",
      "multi-agent",
      "wordpress",
      "publishing",
      "automation"
    ],
    "install": "Download playbook-multi-agent-content-machine.md → follow SOP → your agent runs the full workflow",
    "example_output": "Published: 'How to Automate Your Sales Pipeline' (2,347 words). Quality: 88/100. Internal links: 4. Time: 8 minutes. Cost: $0.06 in tokens.",
    "deliverables": [
      "Complete 4-agent pipeline: Researcher, Writer, Editor, Publisher",
      "JSON handoff schemas for clean data flow between agents",
      "All 4 agent system prompts (copy-paste ready)",
      "Quality gate logic: fact-check + tone + readability + SEO (0–100 score)",
      "WordPress, Ghost, and Notion publisher integrations",
      "Error handling: rejection loops, platform failures, rate limits",
      "Cost estimates: ~$0.04–0.08/article"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + WordPress, Ghost, or Notion CMS",
    "agent_use_case": "Use when your agent needs to run an autonomous content publishing pipeline — keyword research through SEO-optimized article publication at scale.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "content",
      "ops",
      "research"
    ],
    "integrations": [],
    "example_input": "Publish 5 SEO-optimized articles today on topics: AI automation, sales pipelines, content marketing, agent frameworks, and productivity tools.",
    "dependencies": [
      "WordPress/Ghost/Notion API credentials",
      "LLM API key (OpenAI or Anthropic)"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "autonomous-market-intelligence",
    "title": "Autonomous Market Intelligence Playbook",
    "short": "Monitor 10+ competitor sites daily and deliver weekly competitive intelligence digests — price changes, feature launches, news sentiment — fully automated.",
    "long": "A complete competitive intelligence system that runs daily and weekly. Your agent monitors 10+ competitor websites for price changes, new features, and content updates; aggregates 20+ RSS feeds with relevance filtering; performs sentiment analysis on market news; and delivers structured weekly digests to email, Slack, or Feishu. Price change alerts fire within 24 hours. Weekly digest generation costs ~$0.30 in tokens. Replaces a full-time competitive intelligence analyst role. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 249,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/8x2aEQd4NexZfrw9ANcAo0z",
    "tags": [
      "playbook",
      "market-intelligence",
      "competitive-analysis",
      "monitoring",
      "automation",
      "rss"
    ],
    "install": "Download playbook-autonomous-market-intelligence.md → follow SOP → your agent runs the full workflow",
    "example_output": "Weekly digest: Competitor A raised Pro plan $39→$49 (+26%). 3 new blog posts detected. Sentiment: 2 positive, 1 negative. Sources: 12 pages, 18 RSS feeds.",
    "deliverables": [
      "Competitor site monitor with diff detection and severity classification",
      "RSS feed aggregator with relevance scoring (Python)",
      "Sentiment analysis pipeline for market news",
      "Price tracker with before/after comparison and alerts",
      "Weekly digest generator (markdown format)",
      "Delivery integrations: email (SendGrid), Slack, Feishu",
      "Source config template + filter rules",
      "Error handling: CAPTCHA bypass, feed unavailability, delivery fallbacks"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + Python 3.10+ for scrapers",
    "agent_use_case": "Use when your agent needs to monitor competitors, track market movements, and deliver structured intelligence reports without manual research.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "devops",
      "ops",
      "research"
    ],
    "integrations": [],
    "example_input": "Monitor competitors Acme Corp, BetaCo, and GammaTech for pricing changes, new features, and press coverage. Deliver weekly digest to Slack #strategy.",
    "dependencies": [
      "Python 3.10+",
      "RSS feed URLs",
      "SendGrid or Slack for delivery"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "ai-customer-support-triage",
    "title": "AI Customer Support Triage Playbook",
    "short": "Triage 200+ support tickets per hour — classify, score sentiment, auto-reply to simple cases, and route complex cases to the right team — autonomously.",
    "long": "End-to-end support automation: ingests tickets from email, Zendesk, or Freshdesk; classifies into 5 categories (billing/bug/feature/how-to/other); scores sentiment (ANGRY/FRUSTRATED/NEUTRAL/HAPPY); looks up the knowledge base before every reply; auto-replies to 40–60% of tickets without human involvement; routes complex and angry cases with full context packets. The router is deterministic code — never an LLM — to prevent mis-routing. Cost: ~$0.06/100 tickets. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 199,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/6oUeV65ClgG70wCeV7cAo0A",
    "tags": [
      "playbook",
      "customer-support",
      "zendesk",
      "automation",
      "triage",
      "sentiment"
    ],
    "install": "Download playbook-ai-customer-support-triage.md → follow SOP → your agent runs the full workflow",
    "example_output": "100 tickets processed. Auto-replied: 47 (KB confidence 0.83). Escalated: 53. ANGRY tickets: 8 routed to senior support <1min. Avg confidence: 0.91.",
    "deliverables": [
      "5-category classifier system prompt with confidence scoring",
      "Sentiment scorer: ANGRY/FRUSTRATED/NEUTRAL/HAPPY with escalation flags",
      "Knowledge base format spec + lookup system",
      "Deterministic router logic (Python) — not an LLM decision",
      "Auto-reply generator (KB-grounded — never fabricates)",
      "Escalation context packet generator",
      "Zendesk + Freshdesk API integration patterns",
      "Escalation rules reference + SLA tracking"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + Python 3.10+ for deterministic routing",
    "agent_use_case": "Use when your agent needs to autonomously triage, classify, and respond to customer support tickets at scale with sentiment-aware routing.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "ops",
      "support"
    ],
    "integrations": [],
    "example_input": "Process incoming support tickets from Zendesk. Classify by category, score sentiment, auto-reply to FAQ-level tickets, and escalate complex cases.",
    "dependencies": [
      "Zendesk or Freshdesk API credentials",
      "Knowledge base documents (Markdown/JSON)"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "arbitrage-intelligence-playbook",
    "title": "Arbitrage Intelligence Playbook",
    "short": "Scan 30+ sportsbooks in real-time for guaranteed-return arbitrage opportunities, get instant alerts with exact execution steps — deterministic math, no LLM hallucinations.",
    "long": "A complete sports betting arbitrage detection and execution system. Integrates with The Odds API, calculates true arbitrage using pure Python math (never LLM), applies a multi-layer safety gate (legal bookmakers only, game not started, stakes within limits), sends Slack/WhatsApp alerts when arb ≥0.5%, and generates step-by-step execution packets for humans to act on. Includes P&L tracker. Safety guarantee: the LLM only formats the execution packet — all math is deterministic code. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 299,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/00wfZafcVblN3IO28lcAo0B",
    "tags": [
      "playbook",
      "arbitrage",
      "sports-betting",
      "finance",
      "automation",
      "python"
    ],
    "install": "Download playbook-arbitrage-intelligence-playbook.md → follow SOP → your agent runs the full workflow",
    "example_output": "ARB ALERT: Lakers vs Celtics, 1.8% guaranteed return. DraftKings Lakers ML +110 stake $476.19, FanDuel Celtics ML -105 stake $523.81. Profit: $17.14.",
    "deliverables": [
      "Complete Python arbitrage calculator (American + decimal odds)",
      "The Odds API integration with multi-sport scanning",
      "Multi-layer safety gate (deterministic — no LLM involvement in math)",
      "Slack + WhatsApp alert system",
      "Execution packet formatter (LLM formats only — never calculates)",
      "P&L tracker (CSV) with ROI reporting",
      "Legal US bookmaker whitelist + configuration guide",
      "Error handling: API failures, game-started detection, stake limit enforcement"
    ],
    "category": "playbook",
    "runtime": "Python 3.10+ with The Odds API key",
    "agent_use_case": "Use when your agent needs to scan sports betting markets for guaranteed-return arbitrage opportunities and deliver actionable execution packets.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "devops",
      "finance",
      "ops"
    ],
    "integrations": [],
    "example_input": "Scan NBA and NFL markets for arbitrage opportunities above 0.5% return across DraftKings, FanDuel, and BetMGM.",
    "dependencies": [
      "The Odds API key",
      "Python 3.10+",
      "Slack or WhatsApp for alerts"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "seo-content-factory",
    "title": "Autonomous SEO & GEO Content Factory Playbook",
    "short": "Publish 3–5 articles per day optimized for both Google and AI search engines — keyword research through publication, GEO-ready with llms.txt and JSON-LD.",
    "long": "The only content playbook built for both traditional SEO and GEO (Generative Engine Optimization). Your agent handles the full pipeline: Brave Search keyword research, content brief generation, 2,000+ word article writing, GEO optimization (JSON-LD, Quick Answer box, FAQ section, llms.txt update), internal linking, WordPress/Ghost publication, and Google Search Console indexing submission. Every article is structured for AI citation. Cost: ~$0.04/article in tokens. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 249,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/eVqaEQaWF3Tl7Z47sFcAo0C",
    "tags": [
      "playbook",
      "seo",
      "geo",
      "content",
      "wordpress",
      "publishing",
      "keyword-research"
    ],
    "install": "Download playbook-seo-content-factory.md → follow SOP → your agent runs the full workflow",
    "example_output": "Published: 'Best AI Agent Frameworks 2026' (2,418 words). GEO: Quick Answer ✓, FAQ ✓, JSON-LD ✓, llms.txt updated. Quality: 91/100. GSC ping sent.",
    "deliverables": [
      "Keyword research engine (Brave Search API + competitor gap analysis)",
      "Content brief generator with outline + angle + target metrics",
      "Long-form writer prompt (2,000+ words, SEO-structured)",
      "GEO optimizer: JSON-LD, Quick Answer, FAQ, entity clarity",
      "Internal linking engine (Python, deterministic matching)",
      "WordPress + Ghost publisher integrations",
      "llms.txt generator for your domain",
      "Google Search Console indexing submission",
      "GEO checklist (8-point quality gate)"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + WordPress or Ghost CMS",
    "agent_use_case": "Use when your agent needs to run an autonomous SEO and GEO content pipeline — from keyword research through publication and AI-search optimization.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "content",
      "research"
    ],
    "integrations": [],
    "example_input": "Research keywords for 'AI agent frameworks', generate a 2000+ word SEO article, optimize for GEO, and publish to WordPress.",
    "dependencies": [
      "Brave Search API key",
      "WordPress/Ghost API credentials",
      "Google Search Console access"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "ai-hiring-pipeline",
    "title": "AI-Powered Hiring Pipeline Playbook",
    "short": "Automate full-cycle hiring — JD generation, resume screening with scoring matrix, interview scheduling, email sequences, and offer letters — reducing time-to-hire by 50–70%.",
    "long": "End-to-end hiring automation from role brief to offer letter. Your agent writes job descriptions, posts to platforms, screens 50–200 resumes against a configurable scoring matrix, sends 5-email candidate sequences (acknowledgment, screening questions, interview invite, rejection, offer), schedules interviews via Calendly or Google Calendar API, and generates formatted offer letters. The scoring matrix is deterministic — no LLM-inflated scores. Cost: ~$0.04/50-candidate pipeline. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 199,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/9B600c9SB1Ld7Z45kxcAo0D",
    "tags": [
      "playbook",
      "hiring",
      "recruiting",
      "automation",
      "hr",
      "email"
    ],
    "install": "Download playbook-ai-hiring-pipeline.md → follow SOP → your agent runs the full workflow",
    "example_output": "50 applications screened. Shortlist: 11 (score ≥70). Acknowledgment emails: 50 sent. Screening questions: 11 sent. Rejected: 39. Avg time: 2.3 min/candidate.",
    "deliverables": [
      "JD generator from 10-bullet role brief (+ LinkedIn + Indeed formats)",
      "Configurable scoring matrix template (5 criteria, customizable weights)",
      "Resume screener prompt with anti-inflation rules",
      "5-email candidate sequence templates (all roles)",
      "Interview scheduling via Calendly API or Google Calendar API",
      "Offer letter generator with full compensation details",
      "Error handling: bounce detection, parse failures, scheduling conflicts",
      "Cost estimates: ~$0.04/50-applicant pipeline"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + email provider",
    "agent_use_case": "Use when your agent needs to run an autonomous hiring pipeline — from job description through candidate screening, scheduling, and offer generation.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "design",
      "devops",
      "ops"
    ],
    "integrations": [],
    "example_input": "Screen 50 resumes for a Senior Backend Engineer role. Score against criteria: Python experience, system design, 5+ years. Schedule top candidates for interviews.",
    "dependencies": [
      "Email provider (SendGrid/Gmail)",
      "Calendly or Google Calendar API for scheduling"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "personal-finance-intelligence",
    "title": "Personal Finance Intelligence Playbook",
    "short": "Auto-categorize 500+ monthly transactions, generate budget vs. actual reports, detect anomalies, and deliver weekly finance digests — Plaid or CSV, no manual effort.",
    "long": "Complete personal finance monitoring: ingests transactions via Plaid API or CSV export, categorizes into 50+ categories using a hybrid LLM+rules approach, generates monthly budget vs. actual reports, detects anomalies (unusual charges 3× merchant average, overdraft risk when balance < 2× fixed expenses, new subscription creep), pulls investment portfolio NAV from Yahoo Finance API, and delivers weekly digests. Anomaly detection is deterministic code — not LLM guesses. Monthly cost: ~$0.06 in tokens. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 149,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/7sY7sE2q9ahJ1AG9ANcAo0E",
    "tags": [
      "playbook",
      "personal-finance",
      "plaid",
      "budgeting",
      "automation",
      "investments"
    ],
    "install": "Download playbook-personal-finance-intelligence.md → follow SOP → your agent runs the full workflow",
    "example_output": "Weekly digest: Spent $1,847 (net -$312). Budget: 68% used. Alert: New subscription 'Figma' $20/mo. Top overspend: Restaurants $287/$200 (+43%).",
    "deliverables": [
      "Plaid API integration (Development env setup guide)",
      "CSV import parser for all major US banks",
      "50+ category taxonomy (JSON, configurable)",
      "Auto-categorizer prompt (hybrid LLM + rules)",
      "Budget vs. actual report generator",
      "Anomaly detector (Python, deterministic — no LLM)",
      "Investment portfolio monitor (Yahoo Finance API, free)",
      "Weekly digest generator with delivery integrations",
      "Alert thresholds reference + customization guide"
    ],
    "category": "playbook",
    "runtime": "Python 3.10+ with optional Plaid API",
    "agent_use_case": "Use when your agent needs to automate personal finance tracking — transaction categorization, budget monitoring, anomaly detection, and investment reporting.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "data",
      "finance",
      "ops"
    ],
    "integrations": [],
    "example_input": "Import this month's bank transactions (CSV from Chase), categorize spending, compare against budget, and flag any anomalies.",
    "dependencies": [
      "Bank CSV export or Plaid API credentials",
      "Yahoo Finance API (free, for investments)"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "ecommerce-ops-automation",
    "title": "E-Commerce Operations Automation Playbook",
    "short": "Automate inventory monitoring, supplier reorders, price tracking, review management, and daily sales reports for Shopify, Amazon, and TikTok Shop — saving 15–20 hours/week.",
    "long": "End-to-end e-commerce operations automation for sellers doing $10k–$5M/month GMV. Your agent monitors inventory levels and fires reorder emails when stock drops below 14-day threshold; tracks competitor prices daily on Amazon/Google Shopping; monitors reviews across all platforms and generates response drafts within 5 minutes of a 1–3 star review; processes returns with automatic categorization and RMA generation; and delivers daily sales reports every morning. Cost: ~$0.15/week in tokens. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 199,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/cNi9AM2q91Ld9387sFcAo0F",
    "tags": [
      "playbook",
      "ecommerce",
      "shopify",
      "amazon",
      "automation",
      "inventory",
      "reviews"
    ],
    "install": "Download playbook-ecommerce-ops-automation.md → follow SOP → your agent runs the full workflow",
    "example_output": "Daily ops complete. Reorder alerts: 3 SKUs. Price check: 1 product 12% above Amazon. New reviews: 2 five-star, 1 two-star (responses drafted). Sales: $8,432, 47 orders.",
    "deliverables": [
      "Shopify Admin API patterns: inventory, orders, sales reports",
      "Sales velocity calculator for dynamic reorder quantities",
      "Supplier email templates: standard PO + urgent reorder",
      "Supplier config template (JSON)",
      "Competitor price monitor (Amazon + Google Shopping)",
      "Review monitor with response draft generator",
      "Returns processor: categorization, RMA, routing logic",
      "Daily + weekly sales report generator",
      "Error handling: API rate limits, scraping blocks, email bounces"
    ],
    "category": "playbook",
    "runtime": "Any LLM runtime + Python 3.10+",
    "agent_use_case": "Use when your agent needs to automate e-commerce operations — inventory monitoring, supplier reorders, price tracking, review management, and sales reporting.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "devops",
      "ops",
      "sales"
    ],
    "integrations": [],
    "example_input": "Monitor Shopify store inventory levels, check competitor prices on Amazon, process new reviews, and generate a daily sales report.",
    "dependencies": [
      "Shopify Admin API credentials",
      "Email provider for supplier POs"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "slug": "agent-system-bootstrap",
    "title": "Agent System Bootstrap Playbook",
    "short": "Go from zero to a production-grade autonomous agent system in one day — OpenClaw installation, skills, cron jobs, memory architecture, cost monitoring, watchdog, and 7-day checklist.",
    "long": "The complete setup playbook for a production agent system. Covers OpenClaw installation and configuration, recommended starter skill pack (5 skills), 7 pre-designed cron jobs (daily brief, health check, cost monitor, weekly report, memory consolidation, news monitor, watchdog), MEMORY.md architecture for cross-session continuity, cost monitoring with per-model rate tracking and daily budget alerts, watchdog setup via LaunchAgent/systemd with auto-restart, and a day-by-day 7-day operation checklist. Total LLM cost to run all 7 crons: ~$0.05–0.10/day. vs. building from scratch: ~$200–500 in tokens + debugging time.",
    "price": 99,
    "price_tier": "playbook",
    "buy_url": "https://buy.stripe.com/28E3co1m5ahJfrw9ANcAo0G",
    "tags": [
      "playbook",
      "openclaw",
      "setup",
      "bootstrap",
      "monitoring",
      "automation",
      "cron"
    ],
    "install": "Download playbook-agent-system-bootstrap.md → follow SOP → your agent runs the full workflow",
    "example_output": "Day 7 complete. Gateway: running (watchdog active). Crons: 7/7 running. Memory: MEMORY.md updated. 7-day cost: $0.63. Status: PRODUCTION READY ✅.",
    "deliverables": [
      "OpenClaw installation + configuration guide",
      "Starter skill pack selection + install commands (5 skills)",
      "7 pre-designed cron jobs with schedules and prompts",
      "MEMORY.md template + daily log architecture",
      "Cost monitor script (Python) with per-model rate table",
      "Watchdog script + LaunchAgent plist (macOS) + systemd unit (Linux)",
      "First 7-day operation checklist (day-by-day)",
      "Cost optimization guide: Haiku vs Sonnet per task type"
    ],
    "category": "playbook",
    "runtime": "OpenClaw + macOS or Linux",
    "agent_use_case": "Use when your agent needs to set up a complete, production-grade autonomous agent system from scratch — installation, scheduling, memory, monitoring, and cost control.",
    "install_complexity": "30min",
    "asset_type": "playbook",
    "use_cases": [
      "devops",
      "ops"
    ],
    "integrations": [],
    "example_input": "Set up a production OpenClaw agent system from scratch: install skills, configure 7 cron jobs, set up memory architecture and watchdog monitoring.",
    "dependencies": [
      "OpenClaw installed",
      "LLM API key (OpenAI or Anthropic)",
      "30 minutes setup time"
    ],
    "provenance": {
      "author": "TutuoAI",
      "version": "1.0.0"
    }
  },
  {
    "id": "browser-automation-pack",
    "name": "Browser Automation Pack",
    "tagline": "When your agent needs to control browsers, scrape dynamic pages, and automate web workflows.",
    "description": "When your agent needs to interact with web browsers or scrape JavaScript-rendered content, this pack provides a complete Playwright-based toolkit with anti-detection, form automation, and structured data extraction. REPLACES: ~$3 in tokens of Playwright research, anti-bot bypass attempts, and error-handling pattern derivation. Install once — your agent references proven patterns without re-researching across tasks.",
    "price": 19,
    "price_display": "$19",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent needs to scrape dynamic pages, automate form submissions, capture screenshots, or interact with SPAs that require JavaScript execution.",
    "install_complexity": "low",
    "tags": [
      "browser",
      "playwright",
      "scraping",
      "automation",
      "web"
    ],
    "buy_url": "https://buy.stripe.com/dRm14g6GpgG79388wJcAo0H",
    "replaces": "REPLACES: ~$3 in tokens for Playwright setup, anti-bot config, and error-handling patterns",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "browser-automation-pack",
    "file": "playbooks/capability-extensions/browser-automation-pack.md",
    "asset_type": "template",
    "use_cases": [
      "dev",
      "ops"
    ],
    "integrations": []
  },
  {
    "id": "data-pipeline-pack",
    "name": "Data Pipeline Pack",
    "tagline": "When your agent needs to extract, transform, and load data across CSVs, APIs, and databases.",
    "description": "When your agent needs to build ETL pipelines — reading CSVs, paginating APIs, transforming JSON, validating data, and writing to outputs — this pack provides pre-built patterns for the most common operations. REPLACES: ~$3 in tokens of pandas research, API pagination boilerplate, and data validation pattern derivation. Works with any Python-capable agent on first install.",
    "price": 19,
    "price_display": "$19",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent needs to process tabular data, chain API calls with pagination, validate datasets before bulk operations, or detect changes between dataset snapshots.",
    "install_complexity": "low",
    "tags": [
      "etl",
      "csv",
      "pipeline",
      "api",
      "data"
    ],
    "buy_url": "https://buy.stripe.com/00wbIUaWF61tcfk28lcAo0I",
    "replaces": "REPLACES: ~$3 in tokens for pandas patterns, API pagination, and error-handling across pipeline types",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "data-pipeline-pack",
    "file": "playbooks/capability-extensions/data-pipeline-pack.md",
    "asset_type": "template",
    "use_cases": [
      "data",
      "dev"
    ],
    "integrations": []
  },
  {
    "id": "multi-llm-routing-pack",
    "name": "Multi-LLM Routing Pack",
    "tagline": "When your agent needs to route tasks to the right LLM by cost, capability, or context length.",
    "description": "When your agent system sends all tasks to a single model, it either overpays for simple tasks or underpowers complex ones. This pack provides a routing layer that directs tasks to GPT, Claude, Gemini, or local models based on configurable rules — with fallback chains, budget enforcement, and a unified API adapter. REPLACES: ~$3.80 in tokens for multi-provider adapter design, routing architecture, and fallback logic.",
    "price": 24,
    "price_display": "$24",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent system runs mixed task types and needs to reduce LLM costs by routing simple tasks to cheaper models while preserving quality for complex tasks.",
    "install_complexity": "low",
    "tags": [
      "llm",
      "routing",
      "openai",
      "claude",
      "gemini",
      "cost-optimization"
    ],
    "buy_url": "https://buy.stripe.com/7sY9AM3ud61t5QW3cpcAo0J",
    "replaces": "REPLACES: ~$3.80 in tokens for multi-provider adapter, routing rules, and budget enforcement design",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "multi-llm-routing-pack",
    "file": "playbooks/capability-extensions/multi-llm-routing-pack.md",
    "asset_type": "template",
    "use_cases": [],
    "integrations": []
  },
  {
    "id": "voice-interface-pack",
    "name": "Voice Interface Pack",
    "tagline": "When your agent needs to accept spoken input or deliver spoken output in any workflow.",
    "description": "When your agent workflow needs voice I/O — recording microphone input, transcribing speech, or synthesizing spoken responses — this pack provides a complete pipeline using Whisper (local or API) and OpenAI TTS or ElevenLabs. REPLACES: ~$2.60 in tokens for STT integration research, TTS provider comparison, PyAudio recording patterns, and streaming playback setup.",
    "price": 19,
    "price_display": "$19",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent needs to transcribe audio files, accept voice commands, deliver spoken responses, or process meeting recordings for structured data extraction.",
    "install_complexity": "low",
    "tags": [
      "voice",
      "tts",
      "speech",
      "whisper",
      "audio"
    ],
    "buy_url": "https://buy.stripe.com/eVq14ge8RgG76V09ANcAo0K",
    "replaces": "REPLACES: ~$2.60 in tokens for Whisper setup, TTS provider research, and audio pipeline implementation",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "voice-interface-pack",
    "file": "playbooks/capability-extensions/voice-interface-pack.md",
    "asset_type": "template",
    "use_cases": [],
    "integrations": []
  },
  {
    "id": "memory-persistence-pack",
    "name": "Memory Persistence Pack",
    "tagline": "When your agent needs long-term memory, cross-session recall, and context compression.",
    "description": "When your agent starts every session with no memory of previous interactions, this pack provides a three-tier memory architecture: semantic vector memory (ChromaDB), episodic memory (SQLite), and working memory (JSON). Includes context compression to manage token limits and nightly consolidation crons. REPLACES: ~$4 in tokens for vector DB setup, memory architecture design, context compression, and retrieval strategy implementation.",
    "price": 24,
    "price_display": "$24",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent needs to retain facts across sessions, recall relevant past context by semantic similarity, compress growing conversation histories, or run nightly memory consolidation.",
    "install_complexity": "low",
    "tags": [
      "memory",
      "vector-db",
      "chromadb",
      "recall",
      "context"
    ],
    "buy_url": "https://buy.stripe.com/dRmdR2e8R9dF3IOcMZcAo0L",
    "replaces": "REPLACES: ~$4 in tokens for vector DB selection, 3-tier memory design, compression patterns, and consolidation pipeline",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "memory-persistence-pack",
    "file": "playbooks/capability-extensions/memory-persistence-pack.md",
    "asset_type": "template",
    "use_cases": [],
    "integrations": []
  },
  {
    "id": "agent-monitoring-pack",
    "name": "Agent Monitoring Pack",
    "tagline": "When your agent system needs health checks, cost alerting, and auto-restart for production reliability.",
    "description": "When your agent runs in production with multiple crons, tools, and API integrations, silent failures and cost overruns go undetected without monitoring. This pack provides health checks for processes and HTTP endpoints, LLM cost tracking with per-model rate tables, configurable alerting to Slack/webhooks, and a watchdog LaunchAgent for auto-restart. REPLACES: ~$4.20 in tokens for monitoring architecture, alerting design, cost tracking, and watchdog implementation.",
    "price": 29,
    "price_display": "$29",
    "price_tier": "capability-extension",
    "category": "capability-extension",
    "runtime": "any",
    "agent_use_case": "Use when your agent system runs autonomously in production and needs visibility into component health, LLM spending, error patterns, and automatic recovery from process failures.",
    "install_complexity": "low",
    "tags": [
      "monitoring",
      "alerting",
      "cost-tracking",
      "watchdog",
      "health-check"
    ],
    "buy_url": "https://buy.stripe.com/28E00caWF61t5QWbIVcAo0M",
    "replaces": "REPLACES: ~$4.20 in tokens for health check framework, alerting system, cost tracking, and watchdog setup",
    "compatibility": "✓ OpenClaw ✓ Claude ✓ GPT ✓ Any agent with exec tools",
    "slug": "agent-monitoring-pack",
    "file": "playbooks/capability-extensions/agent-monitoring-pack.md",
    "asset_type": "template",
    "use_cases": [
      "devops"
    ],
    "integrations": []
  },
  {
    "slug": "skill-tutuoai-hub",
    "title": "TutuoAI Hub Skill",
    "short": "One install unlocks deterministic browsing/search/install guidance across the TutuoAI marketplace.",
    "long": "Install this once and your agent gains a deterministic, tool-oriented workflow to browse the TutuoAI catalog, search via the public keyword→slug index, open product pages, and follow install steps. Supports FREE installs (download preview ZIP / run install commands) and PAID items (present buy_url → checkout → install).",
    "price": 0,
    "price_tier": "free",
    "category": "capability-extension",
    "asset_type": "skill",
    "runtime": [
      "openclaw",
      "any-agent"
    ],
    "tags": [
      "marketplace",
      "discovery",
      "install",
      "catalog",
      "openclaw"
    ],
    "install": "Download skill-tutuoai-hub.zip → open SKILL.md",
    "deliverables": [
      "SKILL.md",
      "README.md"
    ],
    "example_output": [
      "curl -s https://www.tutuoai.com/api/catalog.json",
      "curl -s https://www.tutuoai.com/api/search.json"
    ]
  }
]