Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
A Model Context Protocol (MCP) server that provides tools for interacting with Trello boards.
Official SonarQube MCP Server for code quality and security in AI agents
High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics
A free Laragon / XAMPP / Herd alternative.
MCP server retrieving transcripts of YouTube videos
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.
Stata MCP Extension for VS Code, Cursor, and Antigravity IDE
MCP Server for interacting with Salesforce instances
Real-time data — and real trades — for Claude and any AI agent.
A MCP Server for APK Tool (Part of Android Reverse Engineering MCP Suites)
Agent Skills
基于 Java Spring Boot 的企业级项目开发规范，配套 Claude Code 技能集，实现标准化、自动化的开发流程。
This repository is split into two types of educational material: Tutorials and Samples.
Lightweight and Memory efficient terminal for Mac built with SwiftUI and libghostty . Mac | iOS | Android | Discord
simple, type safe, elegant command line framework. the CLI framework for agents
Start at jaredrhod.com: pick your situation and it routes you to the right path.
一个带“漂泊江湖感 + 现实主义去魅 + 黑色幽默”的中文角色风格 Skill。
Extend Claude Code with specialized workflows, automatic formatting, and better defaults.
A skill that gathers opinions from multiple AI CLIs (Codex, Gemini, ...) and lets a configurable Chairman synthesize a conclusion. Inspired by Karpathy's LLM Council
agentchengfeng/writing-assistant-skill agent skill.
Claude Code version of skill-autoimprove — auto-improve any CLAUDE.md using Karpathy autoresearch loop
- 用 Python wrapper 调 dreamina - 统一参数名 - 校验本地路径 - 返回稳定 JSON - 支持 --dry-run
Let AI implement your features while you sleep.