Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.
A for Joplin note-taking application via its Python API joppy, enabling AI assistants to interact with your Joplin notes, notebooks, and tags through a standardized interface.
An Model Context Protocol (MCP) server for searching your Claude Code conversation history. Find past solutions, track file changes, and learn from previous work.
A Model Context Protocol (MCP) server that enables AI agents to control REAPER DAW — 58 tools covering project management, tracks, MIDI, FX, mixing, mastering, rendering, and audio analysis.
透過 MCP（Model Context Protocol），使 AI 工具能夠與 LINE Desktop 整合，並執行訊息的讀取與發送操作。
An AI-powered Model Context Protocol (MCP) server providing intelligent access to authoritative design systems knowledge.
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
RobotMCP (rf-mcp) is a Model Context Protocol (MCP) server that hands your coding agent the keys to Robot Framework.
A Model Context Protocol (MCP) server implementation that integrates with multiple search providers for web search, local browser search, URL discovery, and scraping capabilities with agent-browser.
Connect your AI assistant to Forgejo repositories. Manage issues, pull requests, files, and more through natural language.
Connect AI assistants directly to the Unreal Editor via MCP
Please use the new Readwise MCP server instead: The new server is hosted — no local installation needed.
Agent Skills
We are moving from "prompt as text" to . Each skill acts like a lightweight, containerized application for AI work: a stable interface, opinionated workflow, and bundled resources that can be...
A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineers.
漫画风格图解生成器 Skill | 10+ 动漫风格（哆啦A梦/火影/海贼王/龙珠）| 兼容 Cursor / Claude Code / OpenClaw | 附图解 OpenClaw 示例漫画
Security skills for AI coding assistants and agentic systems
If you'd like to support these efforts consider becoming a paying Patreon member ❤️ You'll even get access to up to date lessons and other perks: patreon.com/TheHotwireClub
Official Sketch Plugin directory
Process skills that give a Reasonix coding agent the disciplines of a careful engineer: write the test first, debug from evidence, plan before coding, verify before claiming done.
*Tuned for (1M-token MSA context, native multimodal input) and (Agents Window, canvases, Design Mode, /worktree, /best-of-n, Await, MCP Apps). Written to stay useful across model changes.*
"一器而工聚焉者，车为多。" ——《考工记》 两千年前，造一辆马车是最复杂的系统工程：**承载乘者，辕定方向，辐传动力，軎辖为约束——每个构件各司其职，合而为一，车方能行。 今天，构建一个 AI Agent 亦是如此：对话循环为**，工具系统为**，权限管线为**，而将这一切承载于其上、使智能体真正运转的运行时框架—— Agent Harness——正是那个**。
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
cv4pve-cli is to Proxmox VE what kubectl is to Kubernetes — a remote-first CLI with context switching, direct API access, and aliases for common operations.
⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA