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
AI-powered penetration testing MCP server
MCP-based assistant for busy people who are context switching
A single-binary MCP server that connects Claude Desktop and Claude Code to Microsoft Outlook via the Microsoft Graph API.
The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.
An MCP server for Basecamp 3. It lets MCP-capable clients such as Codex, Cursor, and Claude Desktop read and manage Basecamp projects through OAuth-authenticated Basecamp API calls.
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一款面向 的跨平台桌面工具。把提示词模板、自定义 Prompt、第三方 API 供应商、会话同步、Skills / MCP 和 TOML 配置都放进可视化界面里，不用反复手改文件。
Agent Skills
Main Agent spawns Subagents like a hen with her chicks 🐔🪺🐦
AI agent skills for creating avatar videos. Your agent gets a face, a voice, and the ability to send video like a message.
中文内部技术写作的 agent skill。约束设计文档、评审稿、postmortem、分享稿等场景的语气、句法、结构，让产出贴近技术汇报，避开营销稿和散文气质。
个人常用的 Agent Skill（公开部分）。通过合适的上下文工程，可以将 Agent Skill 用在几乎任何地方。
Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
交互地图 · 每日时间轴 · 出发前订票提醒 · 行前须知 · 待选航班 · 片区价位酒店
Skills, rules, and validation hooks that teach AI coding agents to generate correct UdonSharp code
Everything you need to know about OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations.
AI skills for PixiJS v8, the fast 2D rendering library for WebGL, WebGPU, and Canvas. They teach agents correct PixiJS usage: Application setup, scene graph, sprites, graphics, text, filters, custom...
PavedPath Code（代码版）is a reusable Skill for finding proven implementation paths from GitHub and open-source evidence, then adapting them to local software engineering problems.