moai-library-toon
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns
Team onboarding installer for Claude Code. Sets up skills, scripts, and hooks across three tiers: Tier 1 (document skills + Todoist), Tier 2 (session lifecycle), Tier 3 (memory system). Handles repo cloning, symlink creation, and verification. Triggers on 'help me set up', 'set up claude', 'install claude tools', '/setup'.
Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings + Qdrant Cloud + Neon Serverless Postgres + FastAPI backend. Supports selected-text questioning and full conversation history.
Router de intención para Obsidian en Codex CLI. Selecciona la skill más adecuada (o pide la mínima aclaración), aplica guardrails de lectura real y ejecuta el flujo correcto sin inflar AGENTS.md.
Query Claude Code configuration, file locations, MCP settings, and official documentation. Use this skill proactively when the conversation involves: - Claude Code settings, configuration, config, settings - MCP server setup, mcp.json, mcpServers - ~/.claude.json, .mcp.json, settings.json locations - hooks, slash commands, skills configuration - Claude Code features, API, SDK questions
Comprehensive Anthropic product expertise covering Claude models, Claude API, Python SDK, Agent SDK, Claude Code, and Model Context Protocol. Six integrated capabilities with complete documentation, searchable references, code examples, and cross-product integration patterns. Use when working with Claude API, building agents, using SDKs, developing with Claude Code, integrating MCP servers, learning Anthropic products, optimizing costs, implementing Anthropic features, managing context, using Opus 4.5, or implementing advanced tool patterns.
Use when iteratively improving agent prompts through automated LLM-as-Judge evaluation. Runs eval→fix→commit loop with circuit breakers.
効果的なスキルを作成するためのガイド。ユーザーがClaudeの機能を専門知識、ワークフロー、ツール統合で拡張する新しいスキルを作成(または既存のスキルを更新)したい場合に使用すべきスキルです。
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
Create new Claude Code skills with proper SKILL.md structure, frontmatter, and best practices. Use when building new skills for this repository.
Generate images and videos using Gemini CLI's vision extension. Use for image generation with Nano Banana (gemini-2.5-flash-image), video generation with Veo 3, webcam capture, and image-to-image transformations. Invokes Gemini CLI commands and returns file paths.
Improving prompt through CEV (coherent extrapolated volition)
AI応答を洗練・改善するスキル。粗い出力を流暢で専門的な文章に変換。構造化、明確化、詳細化、トーン調整、専門性向上、読みやすさ改善を実施。
ChromaDB vector database client for storing and retrieving text embeddings with hybrid search (dense + sparse). Use for RAG operations, contextual retrieval, and similarity search in clinical notes.
รูปแบบการจัดเตรียม context ให้กระชับ มีโครงสร้าง และใช้ token อย่างมีประสิทธิภาพ
Generate production-quality Python code for robot motion planning algorithms that run in Pyodide (browser). Creates educational code for teaching path planning (A*, RRT), trajectory optimization, PID control, model predictive control (MPC), and whole-body control. Focuses on algorithm implementation, visualization, and educational clarity.
Automatically invokes init-explorer agent when project context is empty or unknown.
Model Context Protocol server exposing AI Factory tools to Claude Desktop
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.
Implement or adjust background transcription jobs for whisper-lolo. Use when wiring Inngest events, handling long-running jobs, chunking before transcription, persisting transcripts, or maintaining the TranscriptionProvider abstraction.