Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Wavelet-based multi-resolution context management for LLMs via MCP.
AI assistants are powerful, but they struggle with Kubernetes because:
Issue tracking for the agentic coding era. One binary. One SQLite database (plus an attachments dir). MCP built in.
MCP Server for KNX ETS 5/6 via ETS Addin
Connect your Scrivener projects to Claude, ChatGPT, and other AI assistants
If you want to support noapi-google-mcp or gpt-oss-20B/120B-Vision and other open source models in the pipeline please add to my GPU compute fund: around $3000 are needed.
An MCP App for playing and inspecting local audio files in an MCP host.
🏠 Home page 💬 Discord 📚 Check docs ➕ Add docs
🎲 prediction markets at your fingertips
Search Solodit's 20,000+ audit findings from Claude Code and Codex CLI.
Helps AI assistants fetch content from bot-protected websites. Uses Scrapling (patchright + curl-cffi) to bypass anti-automation measures, returning clean HTML or Markdown.
MCP Server for Authentication Management
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。