仓库/Skill 库

证据约束的代码诊断工作台：确定性静态分析拥有源码事实，LLM 只提假设，resolver/validator 决定能否绑定回真实操作——证据不足保持 unknown/abstained，从架构抑制幻觉。已在真实开源项目发现 bug（stunner #89 已被上游确认修复）。Python。

自托管、100% 本地的 AI 平台——在一个 Docker 栈中集成 LLM 推理、RAG 与知识图谱。无需 API key。Self-hosted, 100% local AI platform — LLM inference, RAG, and knowledge graphs in one Docker stack. No API keys.

开放式数据库工程课程 · 14 个模块共 64 节课 · 210 小时 · 涵盖概念建模、分布式架构、运维及面向 AI 的数据恢复 · 109 项参考文献（带 ISBN、DOI 或标准号），逐课引用并在 CI 中校验 · 5 个零依赖可执行实验 · 256 题自测 📚🗄️ Programa abierto de ingeniería de bases de datos · 64 clases en 14 partes · 210 horas · Del modelado conceptual a la arquitectura distribuida, la operación y la recuperación para IA · 109 fuentes con ISBN, DOI o norma, citadas clase a clase y verificadas en CI · 5 laboratorios ejecutables sin dependencias · Autoevaluación de 256 preguntas 📚

自构建的 AI Agent 框架——多模型 ReAct + 分层缓存友好的上下文 + 异步多 Agent + XML 工作流。CLI 与 WebUI，零 LangChain。An AI agent framework that builds itself — multi-model ReAct + tiered cache-friendly context + async multi-agent + XML workflows. CLI & WebUI, zero LangChain.

Vantio Optics — 为 LLM/agent 出站流量提供免费的可观测能力。Sight Loop。设计即盲视。非代理。@vantio/cli 0.3.2 · vantio-agent-sdk 3.0.2Vantio Optics — free observe for LLM/agent egress. Sight Loop. Blind by design. Not a proxy. @vantio/cli 0.3.2 · vantio-agent-sdk 3.0.2

基于 RAG 的文档问答机器人，可对任意 PDF/文本文件提问。使用本地 embeddings + Groq API。学习要点：embeddings、向量搜索、分块、RAG 流水线。Document Q&A bot using RAG (Retrieval-Augmented Generation). Ask questions about any PDF/text file. Uses local embeddings + Groq API. Learns: embeddings, vector search, chunking, RAG pipeline.

一个可运行的 TypeScript 教程，从零搭建一个极简 DeepSeek 风格 Agent 框架。A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.

《大模型推理原理与优化》：面向系统/架构/后端研发工程师的模型原理入门课，目标是通俗易懂的解释推理过程，理解原理有助于系统开发/维护工作

2026 终极 AI Coding Agent 连续性工具包——无缝交接与同步。Ultimate AI Coding Agent Continuity Toolkit 2026 - Seamless Handoff & Sync

一切留痕：需求即 issue，决策即审批评论，工作即 PR，理由即该 PR 的记录。协调器将对话中继到 GitHub，并为每个角色派生沙盒化会话，各自仅持有自己的规则集。Everything on the record: a requirement is an issue, a decision is an approval comment, work is a PR, rationale is that PR's record. The orchestrator relays conversation to GitHub and spawns sandboxed role sessions, each with only its own rulebook.

💹 使用 Python 和 CoinGecko API 分析主要加密货币的价格、市值与趋势，辅助投资决策💹 Analyze major cryptocurrencies' prices, market caps, and trends using Python and the CoinGecko API for informed investment decisions.

DP-ES 官方实现：面向 Prompt 优化的差分隐私进化策略（EMNLP 2026）。Official implementation of DP-ES: Differentially Private Evolution Strategies for Prompt Optimization (EMNLP 2026)

面向 Solana 上 AI Agent 的语义交易验证。Semantic transaction verification for AI agents on Solana.

AI Brand Strategy Toolkit 2026 🚀 — 基于 Kapferer 与 Aaker 框架AI Brand Strategy Toolkit 2026 🚀 - Kapferer & Aaker Frameworks

🧠 构建模拟人类记忆的 AI 认知架构，分离情景记忆与语义记忆，并保证多语言支持与数据完整性🧠 Build a cognitive architecture for AI that mimics human memory, separating episodic and semantic memory while ensuring multilingual support and data integrity.

官方 SELAT 插件——发现经过审核的 Skill 与联邦化 x402/MPP 能力，可通过你自己的 Circle Agent Wallet（自托管）从任意 Agent 支付。Official SELAT plugins — discover vetted skills and federated x402/MPP capabilities, pay from your own Circle Agent Wallet (self-custody), from any agent.

用于微调的合成数据样本集合，旨在为更大规模合成数据集提供种子数据This is a collection of synthetically generated datapoints for fine tuning meant for seeding larger synthetic datasets.

基于 Microsoft Agent Framework (.NET) 的 LLM Agent 三层评估：运行时护栏、PR 闸口、校准过的评审者。该框架可自我评估。Three-tier evaluation for LLM agents on Microsoft Agent Framework (.NET): runtime guardrails, a PR gate, and calibrated judges. The framework evaluates itself.

2026 年顶级开源 AI Agent 🤖 | 最佳自主工具与框架Top Open-Source AI Agents 2026 🤖 | Best Autonomous Tools & Frameworks

Rust 可嵌入的混合搜索原语：BM25、HNSW、reciprocal-rank fusion、UTF-8 安全的 chunking，零依赖。Embeddable hybrid search primitives for Rust: BM25, HNSW, reciprocal-rank fusion, UTF-8-safe chunking. Zero dependencies.

使用 HTML 和 CSS 构建简洁、风格化的网站，配备响应式布局、导航与现代设计，提升用户参与度🌐 Build a simple, stylish website using HTML and CSS, featuring a responsive layout, navigation, and a modern design for easy user engagement.

面向业务的 RAG | 要么有引用，要么不要 | 客服团队需要一份可核验的答案RAG for business | Citations or nothing | Support teams need an answer they can verify

面向澳大利亚公共执业会计的 AI Agent skills：BAS、FBT、Division 7A、STP、月末结账与底稿。AI agent skills for Australian public-practice accounting: BAS, FBT, Division 7A, STP, month-end close and workpapers.

面向 AI agent 与 agentic workflow 的开源 MLflow 插件：涵盖 prompt、tool、skill、MCP server、RAG 知识库、评估、部署、可观测性以及 Aria copilot。Open-source MLflow plugin for AI agents and agentic workflows: prompts, tools, skills, MCP servers, RAG knowledge bases, evaluation, deployment, observability, and Aria copilot.

软件工程作品集 | Web 开发 | 桌面应用开发Software Engineering Portfolio | Web Development | Desktop App Development

面向印度尼西亚的环境工程 AI Agent（MCP Server），内置 330 个工具。Environmental Engineering AI Agent (MCP Server) untuk Indonesia dengan 330 tools.

Swift AI Command CenterSwift AI Command Center

将 Herdr 工作区平铺为 N 个 Claude Code 窗格，然后通过单一菜单列出、恢复或终止它们。Windows 使用 PowerShell，macOS 和 Linux 使用 bash。Tile a Herdr workspace with N Claude Code panes, then list, resume, or kill it from one menu. PowerShell on Windows, bash on macOS and Linux.

面向产品和 AI Agent 的自托管时序记忆平台。Self-hosted temporal memory platform for products and AI agents.

可安装的私有 AI 指挥中心，跨 Windows、macOS 与 Linux，集成 OpenZero、ZSEC Shield 与 TalkToAI 工作区。Installable private AI command center for Windows, macOS and Linux with OpenZero, ZSEC Shield and TalkToAI workspaces

🛠️ 使用 Haystack 轻松构建强大搜索系统，该框架用于开发端到端问答与搜索应用。🛠️ Build powerful search systems effortlessly with Haystack, a framework for developing end-to-end question answering and search applications.

通过一次 wrap() 调用为 LLM 流水线构建运行时可靠性守卫，可配置地防御常见生产故障Build runtime reliability guards for LLM pipelines with one wrap() call and configurable protection against common production failures

将 Spark/Hive SQL 转化为结构化、可追溯的事实，供 Agent、RAG 和 AI 知识库使用。Turn Spark/Hive SQL into structured, traceable facts for Agents, RAG, and AI knowledge bases.

RAG 真的物有所值吗？ragornot 在真实 AWS Lambda + Bedrock 后端上，通过四种检索模式（Flat/BM25、Hierarchical、LLM-only、RAG）运行相同查询，并测量延迟、质量、成本和碳排放——用数据帮你决定是否使用 RAG。静态 Next.js 部署于 GitHub Pages。Does RAG actually earn its cost? ragornot runs the same query through four retrieval modes (Flat/BM25, Hierarchical, LLM-only, RAG) against a live AWS Lambda + Bedrock backend and measures latency, quality, cost, and carbon — so you can decide RAG-or-not with data. Static Next.js on GitHub Pages.

Agent Fridge——阻止 AI 编码 agent 相互覆盖彼此的成果。提供路径声明、租约、一次写入笔记，并为任意终端生成共享看板。Agent Fridge - stop AI coding agents from overwriting each other's work. Path claims, leases, write-once notes, and a generated shared board for any terminal.