Write, review, and edit documentation files with consistent structure, tone, and technical accuracy. Use when creating docs, reviewing markdown files, writing READMEs, updating `/docs` directories, or when user says "write documentation", "review this doc", "improve this README", "create a guide", or "edit markdown". Do NOT use for code comments, inline JSDoc, or API reference generation.

Structured clarification before decisions. Use when user is in PLANNING mode, explicitly asks to plan or discuss, or when agent faces choices requiring user input. Ensures agent asks questions instead of making autonomous decisions when multiple valid approaches exist or context is missing.

SEO keyword clustering with topic organization, content hub architecture, internal linking strategies. Use for content strategy, keyword research, pillar page structures, or encountering cluster organization, hub architecture, internal linking errors.

Produces a structured summary of a requirements document — the key obligations, grouped by actor and concern, with the MUST/SHOULD/MAY breakdown. Use when onboarding to a large spec, when deciding what to implement first, or when the user asks what a 200-page standard actually requires.

Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.

Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

Generate images and videos using x402-protected AI models at StableStudio. USE FOR: - Generating images from text prompts - Generating videos from text or images - Editing images with AI - Creating visual content TRIGGERS: - "generate image", "create image", "make a picture" - "generate video", "create video", "make a video" - "edit image", "modify image" - "stablestudio", "nano-banana", "sora", "veo" ALWAYS use `npx agentcash fetch` or `npx agentcash fetch-auth` for stablestudio.dev endpoints.

Search for places, businesses, and locations using Google Maps APIs via x402. USE FOR: - Finding businesses by name or type - Searching nearby places - Getting detailed place information (address, hours, reviews) - Finding restaurants, stores, services in an area - Getting business ratings and reviews TRIGGERS: - "find", "search for", "locate", "nearby" - "restaurants near", "hotels in", "stores around" - "business details", "opening hours", "reviews for" - "places in", "what's near", "directions to" Use `npx agentcash fetch` for Google Maps endpoints. Choose partial ($0.02) vs full ($0.05-0.08) based on data needs.

Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use `npx agentcash fetch` for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.

Guides writing grammY Telegram bot handlers, middleware, and plugins. Use when creating or modifying bot commands, inline queries, callback queries, message handlers, or middleware.

Implement server-side rendering and hydration in Angular v20+ using @angular/ssr. Use for SSR setup, hydration strategies, prerendering static pages, and handling browser-only APIs. Triggers on SSR configuration, fixing hydration mismatches, prerendering routes, or making code SSR-compatible.

Gmail: Send an email.

Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.

libsecret - Secret generation and environment utilities. generateSecret creates cryptographic random secrets. generateSecretB64 creates base64url secrets. createJwt signs HS256 JSON Web Tokens. getEnvVar and setEnvVar manage .env files. hashValues creates deterministic hashes. Use for credential management, JWT creation, and environment configuration.

libprompt - Prompt template management with Mustache. PromptLoader loads .prompt.md files from directories and renders them with variable substitution. Use for managing LLM system prompts, creating reusable prompt templates, and dynamic prompt generation.