仓库/Skill 库

AI 驱动的 Monorepo 2026：设计系统、React 应用、Fastify API 与 Pulumi IaC。AI-Powered Monorepo 2026: Design System, React Apps, Fastify APIs & Pulumi IaC

CI 验证的科学领域 Agent Skill——69 个研究级 Skill，覆盖科学写作、机器学习、数据分析、量子计算与研究数据库。无死链、无虚假 Skill、无厂商广告。兼容 Claude Code / Cursor / Codex。CI-validated Agent Skills for science - 69 research-grade skills for scientific writing, ML, data analysis, quantum computing, and research databases. No dead links, no phantom skills, no vendor ads. Claude Code / Cursor / Codex compatible.

自动化 Python 兼容性补丁工具，将 Google Scholar PDF Reader 从 Chromium 移植到基于 Firefox 的浏览器，并使用 IndexedDB 集成自定义离线论文数据库。Automated Python compatibility patcher to port Google Scholar PDF Reader from Chromium to Firefox-based browsers, integrating a custom offline paper database using IndexedDB.

arXiv 论文的端到端推荐引擎：流式接入开放快照，使用量化 ONNX 模型对标题与摘要进行 embedding，构建 FAISS 向量索引，通过 FastAPI 服务提供推荐，并在 Streamlit 面板中交互探索。End-to-end recommendation engine for arXiv research papers: stream an open snapshot, embed titles + abstracts with a quantized ONNX model, build a FAISS vector index, serve recommendations through a FastAPI service, and explore them in a Streamlit dashboard.

本地化 MCP 数据平台。自然语言问题按规则分派到向量搜索、NL2SQL、知识图谱三条通道并行查询，通过 RRF 融合后由本地 LLM 基于证据作答。无需调用外部 API。온프렘 MCP 데이터 플랫폼. 자연어 질문을 벡터검색·NL2SQL·지식그래프 3레인으로 규칙 기반 분기해 병렬 조회하고 RRF로 융합, 로컬 LLM이 근거 기반으로 답한다. 외부 API 호출 없음.

面向 Claude Code / Codex 的 Agent Skill：为系统评价与 Meta 分析构建可复现、可按 PRISMA-S 报告的检索策略 —— 通过 NCBI API 获取 MeSH、主题词+自由词检索式、单行记录数、召回率校验、多数据库语法。Agent Skill for Claude Code / Codex: build reproducible, PRISMA-S-reportable search strategies for systematic reviews & meta-analyses — MeSH via NCBI API, subject-heading + free-text lines, per-line record counts, recall check, multi-database syntax. 系统评价/Meta分析检索策略构建 skill

AI agents 的身份、记忆与协作平台——通过 CLI、MCP 和 Go 服务器提供事实、记忆、密钥管理及 agent 间消息传递。Identity, memory & collaboration platform for AI agents — facts, memories, secrets, and inter-agent messaging via a CLI, MCP, and a Go server.

数据在被构建成有意义的东西之前只是噪声——将原始数据转化为真正可用的系统，涵盖欺诈检测、RAG pipeline、计算机视觉追踪器以及数据仓库等领域。FAST NUCES 数据科学本科生，在"搞坏东西"和"交付产品"之间反复横跳。持续构建，持续学习，欢迎合作和实习交流Data is noise until someone builds something meaningful out of it, turn raw data into systems that actually work, from fraud detection and rag pipelines to computer vision trackers and data warehouses. DS undergrad at FAST NUCES, somewhere between breaking things and shipping them. always building, always learning, open to collabs and interns

学术知识图谱系统——符号驱动的研究发现，配合轻量级向量检索。Academic knowledge graph system — symbol-driven research discovery with lightweight vector retrieval

可移植契约与 local-first 运行时，覆盖规范数据、检索、持久执行及面向 agent 的 AI。Portable contracts and local-first runtimes for canonical data, retrieval, durable execution, and agent-facing AI.

文献引用管理器，作为学士学位论文的一部分开发Bibliographic citation manager, that was created as a part of a Bachelor's thesis

企业知识智能平台：基于权限感知的搜索、助手与 agent，覆盖公司现有工具栈。Enterprise knowledge intelligence platform. Permission aware search, assistant and agents over the tools a company already runs.

一款个人知识引擎，注重综合而非简单转录——每个声明都附带回到原始来源的引用。为 LLM agent 提供写入时综合 + 带引用的检索能力。A personal knowledge engine that synthesizes instead of transcribes — every claim carries a citation back to its source. Write-time synthesis + cited retrieval for LLM agents.

面向空间 LLM 与地理空间 AI Agent 的生产工程模式——验证优先架构、地理空间 RAG、prompt-to-spatial-SQL、tool routing 与评估。Production engineering patterns for spatial LLMs and geospatial AI agents — validation-first architecture, geospatial RAG, prompt-to-spatial-SQL, tool routing, and evaluation.

本地优先求职工作站——抓取职位、筛选分流，通过自有 Codex CLI 定制简历与求职信，导出 LaTeX PDF，无需服务器端模型密钥。Local-first job-search workstation — fetch roles, triage, tailor CVs and cover letters through your own Codex CLI, export LaTeX PDFs. No server-held model keys.

AI-Native 钢琴学习 RAG 助手——在线且免费（GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq）：具备引用、护栏与内置可观测性（延迟/token/成本）的摄取与查询流水线（rewrite -> 混合检索/RRF -> rerank -> LLM），数据持久化至可检索数据库。Node.js 实现，不依赖付费 API。AI-Native Piano Learning RAG Assistant - live & free (GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq): ingestion + query pipeline (rewrite -> hybrid search/RRF -> rerank -> LLM) with citations, guardrails, and built-in observability (latency/tokens/cost) persisted to a searchable DB. Node.js, no paid APIs.

AI 驱动的生物医学文献综述平台：从 PubMed 检索论文，使用 FAISS 进行语义搜索，并基于 Gemini LLM 生成循证文献综述🧬 AI-powered biomedical literature review platform that retrieves PubMed papers, performs semantic search using FAISS, and generates evidence-based literature reviews using Gemini LLM.

论文一：NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact

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

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

CampusIQ 是由 AI 驱动的学术知识管理与问答系统，借助 RAG、语义搜索、OCR、图像理解以及基于 LLM 的回答生成，实现教育内容的智能检索与分析。CampusIQ is an AI-powered academic knowledge management and question-answering system that enables intelligent retrieval and analysis of educational content using RAG, semantic search, OCR, image understanding, and LLM-based response generation.

一个生产级 RAG 系统，能自主决定检索方式——从本地向量库、Web 搜索或两者结合，以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis.

由 AI 驱动的交易研究与市场情报平台，使用智能 AI agent、SQL、RAG、市场数据以及外部工具来分析研究问题并生成结构化的市场洞察。An AI-powered trading research and market intelligence platform that uses an intelligent AI agent, SQL, RAG, market data, and external tools to analyze research questions and generate structured market insights.

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

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.

针对任意 GitHub 仓库的自然语言问答 —— 构建 Neo4j 依赖图与 Qdrant 向量索引，用自然语言即可提问结构性与行为性问题。Natural-language Q&A over any GitHub repo — builds a Neo4j dependency graph + Qdrant vector index so you can ask structural and behavioral questions in plain English

🧠 为 Telegram、Discord 与 Reddit 打造的私有、源码溯源知识库，基于混合 RAG，并提供每周摘要。🧠 Private, source-grounded knowledge base for Telegram, Discord, and Reddit with hybrid RAG and weekly digests.

企业级 Java AI Agent 任务编排、安全审批、RAG 与全链路审计平台

从学术数据库中采集学术元数据，用于组织文献检索与构建研究参考目录。Harvest scholarly metadata from academic databases to organize literature searches and build research bibliographies.

"Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem" 的复现包——包含数据收集工具、GPT-4o 语义验证流水线，以及针对所有研究问题的 SQL 查询。Replication package for "Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem" — includes data collection tools, GPT-4o semantic validation pipeline, and SQL queries for all research questions.

Subconscious Memory 2026：基于混合语义搜索与 MCP 的 AI 编码上下文引擎。Subconscious Memory 2026: AI Coding Context Engine with Hybrid Semantic Search & MCP

面向生命科学研究的系统综述、证据综合与 meta 分析平台。Systematic review, evidence-synthesis and meta-analysis platform for life-sciences research.

基于 n8n、Google Gemini API、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题，由规划 Agent 分析并拆解为聚焦的研究子任务，随后由专门 Agent 并行调研主题，覆盖通用研究、技术分析与成本等方面。A multi-agent AI research pipeline built with **n8n, Google Gemini API, Node.js, React, and PostgreSQL**. Users submit a research question that is analyzed by a planning agent and decomposed into focused research tasks. Specialized agents then investigate the topic in parallel, covering areas such as general research, technical analysis, and cost e

面向有据可循的 Agent 工作流的 TypeScript 参考实现，支持混合检索、人工审核与可回放的审计追踪。TypeScript reference implementation for grounded agent workflows with hybrid retrieval, human review, and replayable audit trails.

借助这款自托管、本地优先的应用，跨多个账户与多种货币追踪收入和支出。Track income and expenses across multiple accounts and currencies with this self-hosted, local-first application.

探索由 19,846 篇量子计算论文组成的 AI 原生知识库，面向搜索、趋势分析与 LLM 友好的研究工作流Explore an AI-native knowledge base of 19,846 quantum computing papers, built for search, trend analysis, and LLM-ready research workflows