Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
小智 & Cursor 的 MCP 启动器 - MCP For Cursor&xiaozhi
An MCP Server for Linkwarden
A Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API.
A comprehensive tool for creation, optimization, and management of PineScript trading strategies.
Dart is Project Management powered by AI.
Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants
This is an that runs in Docker and gives AI assistants (like Claude, Cursor, or any MCP-compatible client) the ability to generate real Office files on demand.
MCP layer for 1C
Ask Claude to find expensive API calls, debug errors, compare model performance, or track token usage—all from your IDE.
A Model Context Protocol (MCP) server that exposes Agent Zero's battle-tested code execution capabilities.
MCP server for SQL static analysis.
MCP server for analyzing WallStreetBets
Agent Skills
fly ai agent skill
License MIT · skills.sh Compatible Runtime
About • How It Works • Documentation • Quickstart • Skills • Templates
Visual skill manager for AI agents. Desktop app and TUI.
A Codex skill that turns a startup URL or product idea into a qualified shortlist of potential first customers using recent public pain, demand, and timing signals.
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.
基于 Vant 设计语言，为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。
agent skills for vibe motion
Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。