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Found 566 Skills
Step-by-step guide for creating and implementing lint rules in Biome's analyzer. Use when implementing rules like noVar, useConst, or any custom lint/assist rule. Examples:<example>User wants to create a rule that detects unused variables</example><example>User needs to add code actions to fix diagnostic issues</example><example>User is implementing semantic analysis for binding references</example>
Guide for working with Biome's module graph and type inference system. Use when implementing type-aware lint rules or working on TypeScript support. Examples:<example>User needs to understand type resolution for a lint rule</example><example>User is working on the module graph infrastructure</example><example>User wants to implement type inference for a new feature</example>
Create a minimal working CodeRabbit example. Use when starting a new CodeRabbit integration, testing your setup, or learning basic CodeRabbit API patterns. Trigger with phrases like "coderabbit hello world", "coderabbit example", "coderabbit quick start", "simple coderabbit code".
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.