Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or too...
Use the Ralph Wiggum CLI for autonomous AI coding loops. Use when running ralph commands, setting up autonomous coding workflows, or managing AI agent loops for planning and building features.
This skill should be used when users need to create, configure, or render Quarto documents (.qmd files). Use this skill for generating reports, analysis documents, or presentations with HTML or Typst output for...
AG-UI (Agent-User Interaction) protocol reference for building AI agent frontends. Use when implementing AG-UI events (RUN_STARTED, TEXT_MESSAGE_*, TOOL_CALL_*, STATE_*), building agents that communicate with f...
Vercel AI SDK reference for building AI-powered applications. Use when implementing text/object generation (generateText, streamText, generateObject, streamObject), building chatbots with useChat/useCompletion...
Guidelines for a writing style that's concise and direct. aka High density language, HD style Use for writing/editing prompts, artefact documents, TDD, PRD, discovery documents, research, AGENTS.md, and more.
Distill learnings into improvements for the skills and AGENTS.md instructions
Generate and edit images using nanobanana CLI with Google Gemini API. Use for creating images, slides, banners, and visual content from text prompts.
Design and create Claude Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.
Use when creating or updating AGENTS.md files. Provides the agents.md format specification and best practices for writing effective guidance for AI coding assistants.
Export the current Pi session transcript to an HTML file for inclusion in a pull request. Use when the user is ready to submit a PR and wants to include an AI session transcript.
Authoritative reference for Anthropic products. Use when users ask about product capabilities, access, installation, pricing, limits, or features. Provides source-backed answers to prevent hallucinations about...
Router for audio domain including playback, analysis, and audio-reactive visuals. Use when implementing any audio functionality including music, sound effects, visualizers, or audio-driven animations. Routes to...
Master router for immersive visual experiences combining React Three Fiber, shaders, particles, post-processing, GSAP animation, and audio. Use when building 3D web experiences, visualizers, creative coding pro...
Multi-perspective decision support using three AI agents (Scientist, Mother, Realist). Use when facing difficult decisions, trade-offs, comparing alternatives, choosing between options, or when unsure which app...
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6...
Professional translation expert covering techniques, cultural adaptation, and language pair strategies
Language learning expert with proven methods for acquiring multiple languages efficiently and effectively
Database expert for query optimization, indexing, schema design, and performance tuning
Use when planning, scaffolding, validating, or packaging Claude skills inside Advanced Memory MCP.
Expert in Japanese honorific language covering 尊敬語・謙譲語・丁寧語 with deep understanding of situational usage, business contexts, and cultural nuances
French language expert for grammar, pronunciation, conversation, and cultural fluency
Discover new Runware AI models from documentation and implement providers. Use when: checking for new Runware models, implementing Runware providers, updating providers.md status, or working with Runware API in...
Discover and implement EachLabs AI providers. Use when: checking for new EachLabs models, implementing EachLabs providers, updating providers.md status, or working with EachLabs API integrations.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.