Total 51,248 skills
Showing 12 of 51248 skills
Create, validate, and convert skills for the agent ecosystem. Enforces standardized structure for consistency. Enables self-evolution by creating new skills on demand, converting MCP servers and codebases to skills.
This skill should be used when the user wants to optimize Next.js frontend performance using Lighthouse, bundle analysis, and animation best practices. Use when diagnosing slow pages, optimizing bundle size, or improving Core Web Vitals (LCP, TBT, CLS).
pnpm workspace monorepo management with filtering, catalogs, and shared configs. Use when setting up monorepos, managing workspace dependencies, filtering package commands, or sharing configuration across packages.
Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
Translate code comments, documentation, and UI strings between multiple languages. Use when internationalizing applications or translating technical documentation.
Use when seeking analogous solutions from other domains, when stuck on a problem and need fresh perspectives, or when evaluating whether approaches from field X might apply to field Y. Requires structured problem statement.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatt...
GitLab wiki operations via API. ALWAYS use this skill when user wants to: (1) list wiki pages, (2) read wiki content, (3) create/update/delete wiki pages, (4) upload wiki attachments.
Write unambiguous specifications using EARS (Easy Approach to Requirements Syntax) patterns. Provides 6 sentence templates that eliminate ambiguity: Ubiquitous, Event-driven, State-driven, Unwanted behavior, Optional feature, and Complex. Use when: "EARS", "specification writing", "write specs", "仕様を書く", "EARS記法", "仕様を明確化", "requirements specification", "unambiguous specification".
Configures and manages Depot CI, a drop-in replacement for GitHub Actions that runs workflows entirely within Depot. Use when migrating GitHub Actions workflows to Depot CI, running `depot ci migrate`, managing Depot CI secrets and variables, running workflows with `depot ci run`, debugging Depot CI runs, checking workflow compatibility, or understanding Depot CI's current beta limitations. Also use when the user mentions .depot/ directory, depot ci commands, or asks about running GitHub Actions workflows on Depot's infrastructure without GitHub-hosted runners. NOTE: Depot CI is currently in beta with limited availability.
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.
Systematic 4-phase debugging: understand the failure, form hypotheses, test one change at a time, fix with confidence. Activate when tests fail unexpectedly, errors occur, behavior is wrong, or something that worked before is now broken. Triggers on: "debug", "why is this failing", "test failure", "unexpected error", "bug", "broken".