Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server integration for DaVinci Resolve Studio
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
A MCP server for Home Assistant
F2C MCP Server
FreeCAD MCP(Model Context Protocol) server
Volcengine MCP Servers
One home for every agent. A free, open-source app to manage all your AI coding agents — desktop, CLI, or web.
Lighweight CLI to interact with MCP servers
💻 Give AI models complete control of your computer (probably a bad idea)
🧠 The AI-native memory framework for building intelligent, context-aware applications 🧠 Built with Rust, Cortex Memory is a high-performance, persistent, and intelligent long-term memory system...
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).
Give agents controlled browser sessions for research, QA, screenshots, and web tasks.
Agent Skills
No exports. No API keys. No paste-in data. Production-tested at InhouseSEO.
🎓 基于 AI 的科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程 : 3.0 | : MIT | : 中文/英文
This project contains two Claude Code skills:
This repository contains 20+ Claude skills that will help you turn Claude into a Fortune 500 growth team.
One command. 170+ professional skills. Instant productivity boost.
This skill is maintained as a standalone submodule of Kernel Design Agents (KDA) for easy installation.
Android 逆向分析全家桶 — 从 APK 反编译到 Frida 动态插桩、从 HTTP 接口提取到 JNI/SO 原生层逆向，覆盖静态分析→动态分析→流量解密→签名追踪的完整链路。支持 Claude Code / Codex 双平台，兼容 macOS、Linux、Windows（PowerShell），一套技能打通 Android 安全研究与授权渗透测试的绝大部分需求。
基于 LLM 的股票智能分析 Skill，为 OpenClaw 提供 A股/港股/美股 技术面分析和 AI 决策建议。
— kinetic typography, data-driven charts, explainers, TikTok / Reels, 3D & WebGL, math animation, generative illustration, and web motion. Fifteen installable packs.
A professional Claude AI skill that transforms surface-level reading into deep learning through systematic analysis using proven thinking frameworks.
你只说一句“我要什么视频”，它把素材、分镜、字幕、转场、动效、渲染和质检组织成一个可复现的视频工程。 Say what video you want; qiaomu-cut turns it into a source-aware, renderer-ready, verifiable video project.
Catch AI mistakes before they cost weeks of compute. Reproduce papers from arxiv. Debug runs evidence-first. Compare experiments at the right epoch. Launch with discipline.