Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers
Flagship Model Context Protocol server for generating Product Requirement Documents (PRDs) from codebase context.
MCP server for Minecraft Development
Model Context Protocol server for KiCad on Mac, Windows, and Linux
A Model Context Protocol (MCP) server that provides a standardized interface for AI assistants to interact with a SurrealDB database.
PubNub MCP Model Context Protocol Server for use in Cursor, Windsurf, Claude Desktop, Claude Code and OpenAI Codex and more!
Enterprise MCP server for SQL Server with 20 tools for schema discovery, data operations, and administration.
Asterisk Model Context Protocol (MCP) server.
Bioinformatic MCP server that wraps the most useful functions of the gget library
MCP server for AvaloniaUI
Model Context Protocol server for GraphQL
mem-agent mcp server
TypeScript MCP server for retrieving YouTube transcripts in Claude Desktop, Cursor, Cline, Codex, and other MCP clients
Agent Skills
Speedily search and merge log messages by datetime
这里放的是我希望 Agent 长期带着走的工作流：能触发、能执行、能验证、能复用，而非临时 prompt 或一次性脚本。
每个 Skill 是一个 Markdown 文件，被 AI 编程助手（如 Trae、Cursor、Copilot 等）加载后，能够引导 AI 正确完成嵌入式开发任务——从环境搭建、项目创建、编译、烧录到调试，全链路覆盖。
DeepAgent 기반 Research(연구) Multi Agent System 구축 - Context Engineering
Battle-tested execution playbooks that give any AI agent the exact commands, APIs, and patterns it needs — cutting token usage by and making local models as capable as GPT-4.
Describe your workflow in one sentence, and get a complete workflow definition file ready to import into Coze, Dify, or ComfyUI — including node configuration, edges, layout, and all...
【Skill】AI 电子书制作工作流 — Claude Code Skill
MiniQMT 量化交易开发技能（miniqmt-skill）是一个基于迅投 XtQuant 库的量化交易开发工具，提供行情数据获取和交易执行功能。适用于开发股票、期货、期权等量化交易策略，支持历史/实时行情数据下载、K线/分笔数据获取、财务数据查询、自动下单/撤单、持仓查询、资产查询等功能。
From prompts to systems — learn how to build reusable AI skills.
微信聊天记录skill
Nix packaging for OpenClaw-adjacent tools, with per-tool OpenClaw plugin metadata. Part of the nix-openclaw ecosystem.
Design evaluation rubrics for LLM/agent outputs: criteria, scores, failure modes, examples.