Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
本期系列相关视频如下，按照发布的先后顺序: 主要内容:MCP介绍、MCP功能测试,LLM(支持OpenAI接口风格的大模型)应用程序调用MCP https://www.bilibili.com/video/BV1HBquYbE7t/ https://youtu.be/Jmo7rgb_OXQ 主要内容:使用MCP实现LLM应用程序Text2SQL功能操纵MySQL数据库 https://www.
A mcp server that bridges Dune Analytics data to AI agents.
The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.
Google Ads Agent Skills for Claude — campaign analysis, account auditing, safe write ops, PPC math, and MCP server integration
Agent Skills
We've all been there: asking Claude to use Entity Framework, only to get EF6 patterns in a .NET 8 project. Explaining to Copilot that Blazor Server and Blazor WebAssembly aren't the same thing.
equips your Codex CLI coding agent with powerful tools.
Jetpack Compose Agent Skill — AI-powered coding guidance with actual androidx/androidx source code receipts. Works with Claude Code, Codex CLI, Gemini CLI, Cursor, Copilot, Windsurf, and more.
A structured development workflow for AI coding agents that brings , , and (only humans should) to AI-assisted development. TRIP helps you enter flow state and eat features like buttered noodles.
- Click "Use this template" above to create your own AI agent harness. After cloning, run bash scripts/setup-template.sh to customize for your project. See TEMPLATE_SETUP.md for details.
Pasting raw Gemini or ChatGPT output with zero editing, or running a project with no anti-slop rules at all, is the 2026 equivalent of handing out a business card with an @aol.com email on it.
A curated collection of for Claude Code and compatible AI coding assistants — (⭐️), (💎), (📣), plus skills.
Lazyweb gives AI coding agents real product screenshots, UI references, and design research workflows before they build or critique an interface.
This is a Python library that binds to Apache Arrow in-memory query engine DataFusion.
v2.5.1 — trust-gated review workflows, markdown-first security handoff, expanded framework/database guidance, and a new Python backend skill pack for SDLC delivery.
A curated list of awesome tools, skills, plugins, integrations, extensions, frameworks, and other resources for developers working with .
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.