mcp-builder
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 해주는 고품질 MCP (Model Context Protocol) 서버를 만들기 위한 가이드입니다. Python (FastMCP) 또는 Node/TypeScript (MCP SDK)를 사용하여 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용하세요.
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 해주는 고품질 MCP (Model Context Protocol) 서버를 만들기 위한 가이드입니다. Python (FastMCP) 또는 Node/TypeScript (MCP SDK)를 사용하여 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용하세요.
Invoke a multi-model council for diverse perspectives on design questions
Generate and edit images using either OpenAI GPT Image 1.5 or Google's Nano Banana Pro (Gemini 3 Pro Image). Use when the user asks to generate/create/edit/modify images. Supports image-to-image editing for both providers and optional mask-based inpainting for OpenAI.
Transform long-running AI tools into real-time SSE progress streams
Orchestrate multiple independent subagents concurrently with coordinated collection
Integrates Anthropic Claude API for chat, tool use, and vision capabilities. Use when building AI-powered features with Claude models including streaming, extended thinking, and multi-turn conversations.
How to deploy Claude Code with Amazon Bedrock, Google Vertex AI, and other cloud providers. Use when user asks about AWS Bedrock, GCP Vertex AI, cloud deployment, or enterprise deployment.
Creates and configures HTTP with Server-Sent Events Model Context Protocol (MCP) server connections for OpenAI Agents SDK
Conversational interface for managing MCP (Model Context Protocol) server configurations in Claude Code
Analyzes and optimizes prompt files for LLM agents. Use this skill when working with .prompt files, improving agent instructions, enhancing prompt clarity, or debugging agent behavior. Helps with prompt engineering, structure optimization, and LangGraph agent prompt management.
Work on Agent Studio chat (UI + streaming) and the /api/chat route. Use for tasks like message rendering, reasoning display, editing/regenerate, Zustand chat stores, model/settings UI, and OpenRouter or Vercel AI SDK integration. 聊天功能开发/排障:流式输出、Reasoning 展示、消息编辑与重新生成、模型与参数设置。
Infinite Improvement Framework: Move from Probabilistic Agents to Deterministic Workflows.
Create a new Claude Code skill with proper directory structure and SKILL.md format.
Macで登録済みClaude agent skillsをスキャンし一覧表示。「スキルを調べて」「登録済みスキル一覧」などで使用。読み取り専用で安全に実行。
This skill should be used when the user asks to "add resiliency to a skill", "make this skill more robust", "improve error handling", "add validation mechanisms", "create self-correcting behavior", or discusses determinism, robustness, error correction, or homeostatic patterns in Agent Skills. Applies biological resiliency principles from Michael Levin's work to Agent Skill design.
Maintain context across Claude Code sessions using filesystem persistence. Prevents context loss, enables plan continuity, and supports multi-session workflows.
Guide for building AI-powered applications using the Vercel AI SDK v6. Use when developing with generateText, streamText, useChat, tool calling, agents, structured output generation, MCP integration, or any LLM-powered features in TypeScript/JavaScript applications. Covers React, Next.js, Vue, Svelte, and Node.js implementations.
A simple demonstration skill that greets users and provides helpful information
Setup and use Docker AI (Gordon) for intelligent container operations
Comprehensive overview of Claude Code features, architecture, and capabilities. Learn about hooks, skills, commands, permissions, and best practices for configuring Claude Code as your AI development assistant. This is about the TOOL itself, not project code.
Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexing, semantic search, context building, and integration of retrieval with LLM completion for accurate Q&A on Physical AI textbook content.