仓库/Skill 库

通过隔离的 worktree、GitHub PR 交接和清单驱动的审计日志来规划、分发、评审与合并 AI 编码 Agent 的工作。Plan, dispatch, review, and merge AI coding-agent work with isolated worktrees, GitHub PR handoffs, and manifest-backed audit trails.

CreditFlow AI Agent——小商户贷款预审与自动小额放款 Agent（Google Cloud AI × Solana 实现的下一代 AI Agentic 黑客松项目）CreditFlow AI Agent - 소상공인 대출 사전심사 및 자동 소액대출 집행 에이전트 (Google Cloud AI × Solana로 구현하는 차세대 AI Agentic 해커톤)

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.

让编码 Agent 在需要你介入时通知你。Smoke Signal Codex & Claude 插件。Let your coding agent notify you, when you are needed. Smoke Signal Codex & Claude plugin.

macOS 菜单栏应用，监控 Claude Code 配额并自动开关其自主循环。macOS menu-bar app that watches Claude Code's quota and switches its autonomous loop on and off for you

2026 年 21-Agent 病毒式发布流水线——从 AI 研究到多渠道分发。21-Agent Viral Launch Pipeline 2026 – AI Research to Multi-Channel Delivery

無料のローカルAIインストーラ。ダブルクリック一発・初期設定なしで、チャット・RAG（文書質問）・Web検索が使えるWindows向けローカルAI環境（Ollama + Open WebUI + qwen3.5）

GSU CIS 4394 Agentic AI（2026 秋季，Xinyu Fu 博士）—— 每周更新的交互式课程站点：agent 循环模拟器、架构探析工具和动手实验。GSU CIS 4394 Agentic AI (Fall 2026, Dr. Xinyu Fu) — interactive course sites, week by week: agent-loop simulators, architecture explorers, and hands-on labs

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.

将混乱的需求转化为 coding agent 一次就能做对的 prompt。一个适用于 Claude Code、Cursor 以及任何能阅读 markdown 的 agent 的 skill。Turn a messy request into a prompt your coding agent gets right the first time. A skill for Claude Code, Cursor, and any agent that reads markdown.

面向多种 coding agent 的终端。会话跨窗口存活，侧边栏一目了然展示谁在做什么。A terminal for many coding agents. Sessions outlive the window; one sidebar says who is doing what.

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.

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.

语言驱动、无锁的分布式工作流引擎 — 用 FFL 编写工作流，运行时负责执行、依赖解析、恢复和热部署。Language-directed, lock-free distributed workflow engine — write workflows in FFL, the runtime handles execution, dependency resolution, recovery, and live deployment.

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.

🤖 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

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

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.

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.

通过 MegaQwen CUDA megakernel 加速 Qwen3-0.6B 推理，在 RTX 3090 上达到 531 tok/s decode，较 HuggingFace 提升 3.9×🚀 Achieve faster Qwen3-0.6B inference with the MegaQwen CUDA megakernel, delivering 531 tok/s decode on RTX 3090—3.9x faster than HuggingFace.

基于已验证决策构建的共享 intelligence 层。A shared intelligence layer built from verified decisions.

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

混合 RAG 系统，具备 reranking、基于引用的 grounded citations，以及可选 provider-backed 执行的可确定离线评估分级。A hybrid RAG system with reranking, grounded citations, and deterministic offline evaluation tiers with optional provider-backed execution.

有界研究 Agent：plan → retrieve → critique，具备步骤预算、执行轨迹、引用追溯与自由路径 UI，无需 API key。Bounded research agent: plan → retrieve → critique, step budgets, traces, citations, free-path UI. No API key.

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

一款 Specs AR 眼镜，可读取房间风水、进行评分、用 AI 重新渲染，并给出整改清单。基于 CLAD（Claude + Lens Studio MCP）构建。A Specs AR Lens that reads your room's feng shui, scores it, repaints it with AI, and gives you a checklist to fix it. Built with CLAD (Claude + Lens Studio MCP).

📰 Spec-driven daily briefings on Claude Code cloud Routines — git as the only state, zero servers, zero API keys | 用 Claude Code Routines 每天自动生成主题简报，git 即全部状态，零服务器零密钥

Neeharika Hemrajani，耶鲁管理学院与耶鲁大学计算机科学系 2026 年秋季独立研究项目。本项目针对光电容积脉搏波 (PPG) 的基础模型与逐人适配技术进行研究，衡量现有方法在成本与准确率之间的权衡。Neeharika Hemrajani, Independent Study, Yale School of Management and Yale University Department of Computer Science, Fall 2026. The following project is an independent study of foundation models for photoplethysmography (PPG) and per-person adaptation techniques to measure the cost versus accuracy gains across existing methods.