Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.
The package provides two ways to connect AI applications to MCP servers on AWS:
A Nix-based configuration framework for Model Control Protocol (MCP) servers with ready-to-use packages.
MCP server for rendering Mermaid diagrams in Claude Code with functionality and a built-in skill for expert guidance.
基于DrissionPage和FastMCP的浏览器自动化MCP服务器，提供丰富的浏览器操作API供AI调用。
Reqable MCP Server exposes local Reqable capture traffic to MCP clients (Windsurf/Cursor/Claude/Codex).
MCP server for Shopify api, usable on mcp hosts such as Claude and Cursor
Codemogger is a code indexing library and MCP server for AI coding agents
An MCP proxy server that aggregates and serves multiple MCP resource servers through a single interface. This server acts as a central hub that can:
A Model Completion Protocol (MCP) server implementation for ServiceNow, allowing Claude to interact with ServiceNow instances.
An MCP server to use with AI agents such as OpenCode, Mai, VSCode, Claude, CLION, ...
grok-search-rs is an — your client (Claude Code, Codex, Cursor, VS Code, …) launches it; you do not run it directly.
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