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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
A swiss-knife MCP server for analysing PCAP files
An MCP server for fetching transcripts of YouTube videos.
A Claude Code skill + MCP server setup for expert-level Google Ads campaign analysis
轻便的人机共读MCP
Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response
AI-powered CLI and MCP server for browsing GitHub project documentation (unofficial tool)
Safe DOCX suite: docx-primitives, docx-comparison, safe-docx MCP server
MCP server for orchestrating Claude Code or Codex sessions via iTerm2 or tmux
🚀 Generate executable TypeScript tools from MCP servers with 98% token savings. Progressive loading pattern for AI agents. Production-ready.
Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion + MCP server for Claude Code
AI Code Mode extension for Cocos Creator featuring UTCP Server with MCP wrapper
AI MCP for Development with Bedrock, Acorn, Sage.
Agent Skills
agent skills for vibe motion
A cross-platform desktop app (Tauri + React) for installing, organizing, updating, and syncing Agent Skills to multiple AI coding tools' global or project-level skills directories.
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
vet supports special mode for Agent Skills. Run vet scan --agent-skill to scan an Agent Skill hosted in a GitHub repository.
Visual skill manager for AI agents. Desktop app and TUI.
remocn is a copy-paste component library for building videos in Remotion. Instead of writing every fade, wipe, and kinetic title from scratch, you npx shadcn add a polished primitive into your...
License MIT · skills.sh Compatible Runtime
fly ai agent skill
Fast, AI-ready, and zero-config. Free and open source, forever.
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.