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Found 2,779 Skills
Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy
AI-powered browser automation toolset, including agent-browser (accessibility tree extraction), actionbook (50+ website automation recipes), and browser-use (Python automation library). Use cases: (1) Scrape web content that requires JS rendering (2) Fetch data from platforms like X/Twitter, GitHub, Reddit, etc. (3) Take web page screenshots (4) Automate browser operations (5) Retrieve the accessibility tree structure of web pages. Use this skill when you need to access dynamic web pages, bypass anti-scraping measures, or perform browser automation.
Safe experimentation framework for AI agents. Creates isolated sandbox environments for trying new features, testing approaches, and exploring solutions without polluting the main codebase. USE WHEN: Agent needs to try something uncertain, explore multiple approaches, test a new library, prototype a feature, or run a technical spike before committing to implementation. PRIMARY TRIGGERS: "experiment with" = Setup sandbox + run experiment "try this approach" = Quick experiment in sandbox "spike" / "POC" / "prototype" = Time-boxed technical investigation "tinker" / "tinkering mode" = Enter experimentation workflow "explore options" = Multi-approach comparison in sandbox NOT FOR: Debugging (use debugger), testing (use test runner), or committed feature work (use git branches). DIFFERENTIATOR: Unlike git branches (for committed direction), tinkering is for "I don't know if this will work" exploration. Try 5 things in sandbox before committing to a branch. Faster feedback, zero codebase pollution.
Convert ambiguous user requests into structured USDM requirements documents. Decomposes requirements into Requirement → Reason → Description → Specification hierarchy. Integrates with GitHub Issues, Asana, and Jira tickets as input sources. Use when: "create requirements", "write requirements document", "USDM", "decompose requirements", "requirements definition", "要件定義", "要件を整理", "要件分解".
Setup and manage Kernel authentication connections for any website (Gmail, GitHub, Outlook, or custom domains). Handles managed auth flows with automatic reauthentication support.
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
TypeScript authentication framework (framework-agnostic). Features: email/password, OAuth (Google, GitHub, Discord), 2FA (TOTP, SMS), passkeys/WebAuthn, session management, RBAC, rate limiting, database adapters. Actions: implement, configure, secure authentication systems. Keywords: Better Auth, authentication, authorization, OAuth, email/password, 2FA, MFA, TOTP, passkeys, WebAuthn, session management, RBAC, rate limiting, database adapter, TypeScript auth, social login, Google auth, GitHub auth, Discord auth, email verification, password reset. Use when: implementing TypeScript auth, adding OAuth providers, setting up 2FA/MFA, managing sessions, configuring RBAC, building secure auth systems.
Standardizes release approvals with GitHub-aware checklists. Use when preparing releases, validating deployment gates, conducting release reviews, embedding release gate snippets in PRs. Do not use when weekly status updates - use github-initiative-pulse. DO NOT use when: code reviews - use pensive review skills.
Generate and maintain changelogs following Keep a Changelog format. Analyzes git commits, categorizes changes, and produces well-structured release notes.
Review code changes in Tenzir projects. Use when auditing diffs or pull requests for bugs, security issues, missing tests, documentation drift, readability problems, performance regressions, user experience issues, or when deciding how to respond to GitHub review comments. Also use this skill whenever the user says "review", "look at this PR", "check my changes", "audit this diff", "what do you think of this code", or asks for feedback on any code they've written or changed — even if they don't explicitly say "code review."
Audit and optimise context window usage for AI coding tools (Claude Code, OpenCode, etc.). Estimates token breakdown, identifies waste (duplicate skills, overlapping rules, bloated instruction files, dirty git status, MCP server overhead), and provides actionable recommendations with projected savings. Use when the user says "context checkup", "reduce context", "check context", "context audit", "how big is my context", or when sessions feel sluggish.
Execute a micro-level Flutter code quality audit. Validates code against live GitHub standards for testing, architecture, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check Flutter code quality, validate best practices, or review code standards compliance. Triggers on: 'flutter best practices', 'code quality', 'code review', 'flutter standards', 'architecture compliance', 'testing quality'.