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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
🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes.
A lightweight way to use environment variables in your Cursor MCP server definitions.
Official Claude in Chrome gives you 58 blocked domains and two browsers. Open Claude in Chrome gives you the whole web. Clean-room reimplementation of Anthropic's browser extension. No blocklist.
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
MCP server implementation for using Claude API with Claude Desktop, providing advanced API integration and conversation management.
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
Desktop Extensions: One-click local MCP server installation in desktop apps
Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.
Desktop extension (.mcpb) for Claude Desktop. Single-click install via Settings → Extensions.
Local macOS control server for MCP clients and Custom GPT Actions
A powerful Clojure-based MCP server built for querying DataScript and integrating with AI workflows.
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...
Agent Skills
A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.
A collection of skills for AI financial analysis.
A skill collection for creators who want to streamline writing, X Articles draft publishing, WeChat digital-asset capture, and local workflows with Claude Code and Codex.
This repository contains sample prompts and agent instructions for Microsoft Copilot, GitHub Copilot, and Microsoft 365 Copilot.
本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”，而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。
Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches.
1. 对话 skill 模式：在聊天中按 SKILL.md 约束执行单轮改写；安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式：通过 scripts/run_aigc_round.py 执行单轮分段处理，并按需调用外部 OpenAI 兼容接口。 3. Web 模式：启动本地后端和前端页面，在浏览器中完成上传、配置、执行和导出。 4. app：安装app可直接使用
Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, TSA Cybersecurity, ISO 42001 AI Management System, ISO 27701 Privacy Information Management, DORA...
CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.
得到 APP 课程下载工具，可在终端查看文章内容，可生成 PDF，音频文件，markdown 文稿，可下载电子书。可结合 openclaw +skill 等使用
🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.
Repeatable agents-plus-code workflows, packaged as one skill, stamped into any repo. Deterministic Python owns the graph; coding agents are bounded nodes inside it.