Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.
PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human
MCP server to enable an LLM to do basic static triage of a PE.
Intercept AI requests, track usage, inject MCP tools centrally
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
is the easiest way to connect any MCP client (like Claude or Cursor) with the browser using browser-use.
Agent Skills
An Agent Skill helping you to optimize Xcode incremental and clean builds by running benchmarks and optimizing build settings.
X导师.skill — 女娲的第一个「非人类」作品。蒸馏6位顶级X创作者方法论 + 开源算法数据，提炼完整的选题-写作-增长操作手册。Made with 女娲.skill
Trace-native CI/CD for AI agents — production failures become regression tests that block the PR. Auto-detect, cluster, freeze into hermetic cases, replay in CI for $0.
Awesome AI GPTs, OpenAI GPTs, GPT-4, ChatGPT, GPTs, Prompts, plugins, Prompts leaking
A local-first browser 3D design editor for building, cutting, importing STL files, and exporting models.
A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
My curated library of agent skills, plus the package to build your own.
你只想说一句“帮我做个 App”，但 Codex 真正需要的是一个能执行、能验证、知道边界、知道何时停下来的目标。 qiaomu-goal-meta-skill turns vague work into a copy-ready Codex /goal command with defaults, verification, boundaries, and pause conditions.
本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹，包含 SKILL.md（Agent 执行指令）、README.md（人类文档）、references/（Prompt 参考）和 assets/（模板 HTML）。
The Simulink® Agentic Toolkit allows you to use AI agents with Simulink by giving your AI agent the knowledge and context to read, build, edit, and test Simulink® models using Model-Based Design best...
Generative AI can make mistakes. You should consider reviewing all output and costs generated by your chosen AI model and agentic coding assistant. See AWS Responsible AI Policy.