仓库/Skill 库

通过查询条件超边预测，为 LLM agent 检索工具集合。Retrieve sets of tools for LLM agents using query-conditioned hyperedge prediction.

为每一个 Coding Agent 提供统一的全局开发环境。One global environment for every coding agent.

可移植的 Claude Code 插件：13 个专家 agent、5 个命令、2 个 session skill、对研究文档的语义搜索（默认无需 API key）、基于 launchd/systemd/Task Scheduler 的每周回顾，以及 6 个通用 pre-commit 钩子。带有主观倾向，MIT 许可。Portable Claude Code plugin: 13 specialist agents, 5 commands, 2 session skills, semantic search over your research docs (no API key by default), weekly retro on launchd/systemd/Task Scheduler, and 6 generalized pre-commit hooks. Opinionated. MIT-licensed.

面向 CBSE、ICSE、AP SSC（1-10 年级）的 AI 备考平台 —— 基于知识点先决关系 DAG 的自适应练习、行为分析、实时竞技房间，以及减少绝大多数 AI 调用的 7 层缓存。AI-powered exam prep for CBSE, ICSE and AP SSC (Grades 1-10) — adaptive practice over a topic-prerequisite DAG, behavioural analysis, live competition rooms, and a 7-layer cache that keeps most AI calls from ever firing.

Nexus Memory AI Plugin：面向 2026 持久化上下文的 OpenClaw 与 Hermes MCP 集成。Nexus Memory AI Plugin: OpenClaw & Hermes MCP Integration for Persistent Context 2026

自主研究 Agent：搜索本地文档、互联网及其内置知识，回答复杂研究问题An autonomous research agent that searches your documents, the web, and its own knowledge to answer complex research questions.

中立的 MCP server 信任注册中心——连接前先查验。Neutral trust registry for MCP servers — check before you connect

Windows 上 Claude Code 的计算机使用能力：一个 MCP server，让 Claude 能够看到你的屏幕并操控鼠标和键盘，对齐 Anthropic 的 computer-use 动作集。Computer use for Claude Code on Windows: an MCP server that lets Claude see your screen and drive mouse and keyboard, mirroring Anthropic's computer-use action set

Rustok MCP server —— 通过 MCP（SSE + stdio）为 AI Agent 提供自托管钱包工具的轻量客户端，不托管任何密钥。Rustok MCP server — self-custody wallet tools for AI agents over MCP (SSE + stdio). Thin client, holds no keys.

基于 CrewAI、PostgreSQL 与科学 API 集成的多 Agent PRISMA 系统综述编排器Multi-agent PRISMA systematic review orchestrator with CrewAI, PostgreSQL, and scientific API integrations

无凭据 MCP 策略代理，具备细粒度能力与防篡改凭证。Secretless MCP policy proxy with scoped capabilities and tamper-evident receipts

独立的自主证据综合与系统综述工作台Standalone Autonomous Evidence Synthesis & Systematic Review Workbench

用纯 Markdown 追踪研究问题、假设与结论，便于 Agent 与团队成员查看尝试过程与结果。Google Open Knowledge Format 的实践资料。Track research questions, hypotheses and verdicts in plain markdown, so agents and teammates can see what you tried and what happened. A profile of Google's Open Knowledge Format.

适用于代码 agent 的安全只读型服务器资源管理器：MCP 接口、RO 沙箱，docker/postgres/redis/mongo/rabbitmq 插件Безопасный readonly-эксплорер сервера для кодового агента: MCP-интерфейс, RO-песочница, плагины docker/postgres/redis/mongo/rabbitmq

接收研究问题 → 检索网页 → 阅读关键页面 → 综合输出带引文与置信度分数的结构化报告。Takes a research question → searches the web → reads key pages → synthesizes a structured report with citations and confidence scores

旨在辅助学术与科研任务的 AI 系统：能自主检索文献、总结论文、整理参考文献，并借助自然语言处理理解研究问题、检索相关信息。AI system designed to assist with academic and scientific research tasks. It can autonomously search for literature, summarize papers, and organize references. Using natural language processing, it understands research questions and retrieves relevant information

🤖 通过教育型对冲基金模型探索 AI 驱动的交易决策，融合多位知名金融专家的多元投资策略。🤖 Explore AI-driven trading decisions with our educational hedge fund model, featuring diverse investment strategies from renowned financial experts.

Digital-HR 是面向 Coforge HR-India 的企业级 HR 政策助手，内置 Siya——智能、亲和、平易近人的专业 AI HRDigital-HR is an enterprise-grade HR Policy Assistant for Coforge HR-India, featuring Siya— an intelligent, warm, approachable, and professional AI HR

Rust Graph Tracker：为 LLM 编程 Agent 提供数值与日期来源追踪，支持表达式求值与推导验证Rust Graph Tracker: numeric and date provenance tracking with expression evaluation and derivation verification for LLM coding agents

Euro Truck Simulator 2 / American Truck Simulator 的遥测与驾驶分析 MCP server，附带无头 Claude 分析 agent。只读、Family-A。MCP server for Euro Truck Simulator 2 / American Truck Simulator telemetry + driving analytics, with a headless Claude analytics agent. Read-only, Family-A.

面向编程 Agent 的确定性业务变更安全闸门——基于证据的 BLOCK/ALLOW 决策。Deterministic business-change safety gate for coding agents — evidence-backed BLOCK/ALLOW decisions

面向学术研究与文献综述的 MCP Server。MCP Server for Academic Research & Literature Review

集成 ChatGPT web 与 Codex，用于 Agentic 编码工作流：ChatGPT 负责思考，Codex 负责执行，以节省 Codex 用量配额。Integrates ChatGPT web and Codex for agentic coding workflows ChatGPT thinks, Codex executes for saving Codex usage limits.

你的 AI Agent 所做操作的"银行对账单"。仅本地运行、仅记录时间戳、MIT 协议。A bank statement for what your AI agent did. Local-only, timestamps-only, MIT.

面向 Source 引擎地图工作的 MCP server：读取并检查 VMF、无重排编辑、按格式上限测算 BSP、通过 Wine（原生或 Hammer++）编译。MCP server for Source-engine map work: read and lint VMF, edit without reformatting, measure BSP against format limits, compile under Wine (stock or Hammer++)

生成式、多模态与 Agentic AI 在教育元宇宙中的系统性综述：应用、架构、挑战与未来方向。Systematic review of Generative, Multimodal, and Agentic AI in the Educational Metaverse: applications, architectures, challenges, and future directions.

受 MemGPT 启发、支持 OpenAI API 的长期记忆 Agent，具备记忆生命周期控制与评估能力。MemGPT-inspired long-term memory agent with OpenAI API support, memory lifecycle controls, and evaluation.

基于 Claude Code 的多 Agent 系统，用于自动化文献检索、论文下载、验证与报告生成。Claude Code multi-agent system for automated literature search, paper downloading, verification, and report generation.

受治理的持久化 AI worker，配备默认拒绝权限、人工审批、dry-run 以及经过认证的 MCP。Governed persistent AI workers with default-deny authority, human approvals, dry-runs, and an authenticated MCP.

基于 CrewAI 的 Agent 系统，用于辅助研究者围绕特定高层级研究问题定义研究项目与假设。This is a CrewAI agent system set up to assist a researcher with defining research projects and hypotheses for a specific high-level research question.

AI Coding Memory MCP 2026：用于持久化 Sprint 与决策管理的 20 个工具。AI Coding Memory MCP 2026: 20 Tools for Persistent Sprint & Decision Management

多 Agent AI 研究助手——由多个专门化 Agent 协作，自动检索论文、总结发现、对比方法、生成文献综述并产出可演示的内容Multi-Agent AI Research Assistant — An AI-powered research automation system where multiple specialized agents collaborate to search research papers, summarize findings, compare methodologies, generate literature reviews, and create presentation-ready content.

使用多 Agent RAG 系统与混合索引、LangGraph 编排，自动获取 arXiv 研究论文并生成文献综述。Automate arXiv research paper retrieval and literature review generation using a multi-agent RAG system with hybrid indexing and LangGraph orchestration.

面向 Agentic Dynamics 的实验工具：衡量 AI Agent 如何行为、恢复并产出已验证的结果Experimental instrument for Agentic Dynamics: measuring how AI agents behave, recover, and produce verified outcomes

基于 LangGraph、LangChain、Groq 和 Tavily 构建的多步骤研究 Agent。分解复杂的研究问题，执行迭代式网络研究，评估证据，并生成结构化的最终报告。Multi-Step Research Agent built with LangGraph, LangChain, Groq, and Tavily. Decomposes complex research questions, performs iterative web research, evaluates evidence, and generates a structured final report.

项目名称：用于自动化文献综述与研究空白发现的自适应 AI 研究智能平台。Project Title: Adaptive AI Research Intelligence Platform for Automated Literature Review and Research Gap Discovery