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Found 564 Skills
Create a minimal working Customer.io example. Use when learning Customer.io basics, testing SDK setup, or creating your first messaging integration. Trigger with phrases like "customer.io hello world", "first customer.io message", "test customer.io", "customer.io example".
Generates comprehensive API documentation in Markdown, HTML, or Docusaurus format from Express, Next.js, Fastify, or other API routes. Creates endpoint references, request/response examples, authentication guides, and error documentation. Use when users request "generate api docs", "api documentation", "endpoint documentation", or "api reference".
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
Generate concise Git commit messages in imperative mood. Analyzes staged changes first; if none, examines unstaged and untracked files. Use when the user asks to create, write, draft, make, or generate a commit message.
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples.
Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework patterns, or syntax details. Trigger on requests to 'search docs', 'find code examples', or 'check implementation details'.
Generates bash/curl commands for fetching sample data from Hyperliquid API. Use when user wants curl examples, bash commands to test the API, or sample data fetch commands for mainnet.
Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.
Use when improving general prompts for structure, examples, and constraints.
Best practices, patterns, and examples for building goal-driven agents. Includes client-facing interaction, feedback edges, judge patterns, fan-out/fan-in, context management, and anti-patterns.
Research a UI design aesthetic and produce exhaustive, implementation-ready design guidelines for coding agents. Use when the user names an aesthetic (brutalist, glassmorphism, retro-futuristic, Swiss modernist, Apple HIG, neumorphism, minimalism, cyberpunk, Material Design, art deco, vaporwave, etc.) and wants a complete style guide with exact CSS values, color palettes, component states, animations, and typography — detailed enough for a coding agent to faithfully implement the aesthetic with zero ambiguity.