Cursor インストールガイド
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
Add vision to text-only models in Opencode (, ) — , no manual file saving.
Open-source, local-first memory and context for AI agents. One memory store, every agent.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for 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.
个人知识库 MCP 服务器 — 对本地文档建立索引，并提供一组飞书 API 工具，通过 MCP 协议供 AI 客户端访问。
LogLead performs log loading, log enhancement, log feature engineering, log analysis, log anomaly detection also via MCP-server.
Agent Skills
Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development.
This repo contains the (the heavy, browsable skill files).
A curated collection of official and community-built Claude Skills.
51 specialist AI agents for US healthcare administration. Installable prompts and skills for Claude Code, Codex, OpenCode, Cursor, Copilot, and other agentic coding tools.
Open Source version of Claude Cowork with 500+ SaaS app integrations
Agent Skill for generating 2D sprite sheets and map, transparent PNG frames, and animated GIFs from prompts.
This is where you can find the cutting-edge development of the Tari smart contract layer.
Ubuntu Bash Home profile setup, includes vimrc's profiles some git commands
weilanx Cover Skill: generate Chinese social covers with multi-ratio layouts and consistent characters.
A reusable workflow for agentic software work, built around the Elephant/Goldfish pattern.
Cloud FinOps Skill & MCP by OptimNow. FinOps Foundation aligned knowledge for AI agents: cloud cost (AWS/Azure/GCP/OCI), AI inference economics, Kubernetes, data platforms, allocation, chargeback,...
Aguara Open source security engine for AI agent and supply-chain trust. Run it before install, before CI, or before handing a repo to an AI coding agent.