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MCP Servers
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing.
Lighthouse for MCP — score any MCP server 0–100.
A collection of MCP servers for mainland China services. 支持 MCP 的国内服务一览。
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE
A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP.
The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge.
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
A Model Context Protocol server implementation for DataHub.
An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...
An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.
Agent Skills
This repository contains sample prompts and agent instructions for Microsoft Copilot, GitHub Copilot, and Microsoft 365 Copilot.
A personal AI assistant that evolves with you. 8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours.
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.
A procedural terrain generation engine for use with the Three.js 3D graphics library for the web.
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。
现代化可灵活嵌入的任务面板，支持 Codex、DeepSeek Harness
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.
是一个 AI Agent 技能库，收录了一系列可被 Agent 直接调用的结构化技能。每个技能都是独立的、可组合的工作流单元，覆盖信息获取、内容处理、图像工具等场景。
A collection of skills for AI financial analysis.
A Cursor skill that gives the AI agent real UI component knowledge — best practices, layout patterns, and design-system conventions for 60+ interface components — so it generates production-grade UI...
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
next-1688/1688-customer-opportunity agent skill.