Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Use any MCP server or HTTP API as a standard CLI command. A lightweight daemon + CLI that turns remote MCP tools and configured HTTP endpoints into native shell commands your agent or script can call...
Chat with AI, run tasks on autopilot, and manage your projects — all from one tab.
The decision layer for personal AI. Local-first runtime where agents automate across GitHub, Slack, Gmail & 45+ services — but every risky action can stop for your yes, workers (agents) earn autonomy...
Specialized bridge designed to connect LLMs and AI agents directly to Siemens SIMATIC TIA Portal V21.
Real reap --agent output, run against a generated sample stack ( hero-fixture.sh ) — not anyone's install. The numbers further down are measured on mine.
You built an agent. Now you need to tune the prompt. Swap the model. Restrict access for specific users. Figure out what it's actually costing you.
Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
A powerful command-line tool and MCP server for managing Markdown-Driven Task Management (MDTM) files.
MCP server for interacting with Apache Superset, enabling AI agents to connect to and control a Superset instance programmatically.
A simple NextJS MCP client with sensible keybindings
An MCP server that lets AI agents read and draw on the Figma canvas — safely. Paired with a Figma plugin, it provides structured verification, safe-by-default drawing, and resilient multi-window...
Agent Skills
Distill scam playbooks into AI—see which step you’re on. Defense only. 把骗局套路蒸馏成 AI，看清你在第几步——仅供防范
Wittgenstein + Socrates + Polanyi: A Claude Code Skill for turning fuzzy thoughts into precise instructions
X Tweet Skills for OpenClaw - 推文自动创作技能包
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
save tokens? claude? vibe code? you knocked your head too much, let's go find some bugs to eat
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
General-purpose workflow skills for AI-assisted software development. Built for Claude Code, but the ideas apply anywhere.
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
Curated collection of Claude Code skills for intelligent project development with progressive loading and toolchain detection