仓库/Skill 库

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.

面向几何感知量子机器学习的可复现研究框架。A reproducible research framework for geometry-aware quantum machine learning.

受治理的、与 provider 无关的运行时，面向证据驱动的自主软件工程、研究和数据分析工作流。Governed, provider-neutral runtime for evidence-driven autonomous software engineering, research, and data-analysis workflows.

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.

面向研究的 Skill 定义精选集合，覆盖文献综述、证据综合与研究空白分析；汇总多个社区驱动的 Skill，便于在 Codex 或 Copilot 工作流中对比、审阅与按需安装A curated collection of research-focused skill definitions for literature review, evidence synthesis, and research-gap analysis. It brings together multiple community-driven skills so they can be compared, reviewed, and selectively installed for use in Codex or Copilot workflows.

一个用于研究入侵检测系统 (IDS) 在时间分布漂移下何时应进行适应的可复现研究框架。该项目评估了一个分阶段决策流水线，结合漂移筛查、新颖性检测与成本感知的适应触发器，以判断重训练是否必要且有益。A reproducible research framework for investigating when an Intrusion Detection System (IDS) should adapt under temporal distribution shift. The project evaluates a staged decision pipeline combining drift screening, novelty detection, and cost-aware adaptation triggers to determine whether retraining is necessary and beneficial.

AI 驱动的 DevSecOps 可观测平台，基于 Gemini 2.5、LangChain 与 RAG 驱动的 runbook 监控基础设施、检测威胁并自动响应。AI-powered DevSecOps observability platform; monitors infrastructure, detects threats, and responds using Gemini 2.5, LangChain, and RAG-powered runbooks.

端到端 Python RAG 框架，包含文档摄取、语义搜索、对话式 AI、多用户检索、可观测性、结构化输出与评估。An end-to-end Python RAG framework featuring document ingestion, semantic search, conversational AI, multi-user retrieval, observability, structured outputs, and evaluation.

常态化跨领域研究智库：系统评价与方法学文档，特色方法是对零结果与阴性结果的取证式处理。A standing cross-domain research think tank: systematic reviews and methodology documentation, with forensic treatment of null and negative results as its distinctive method.

面向生态学文献综述的 AI 辅助流水线，内置对 iEcology 与保护生物学相关数据源（社交媒体追踪、博物馆标本记录、新闻档案）的支持。AI-assisted pipeline for ecological literature review with built-in support for data sources relevant to iEcology and conservation biology (social-media tracking, museum specimen records, news archives).

AI Kubernetes 升级智能平台——通过确定性兼容性分析 + RAG-grounded LLM 规划，实现安全集群升级（EKS/GKE/AKS/OpenShift/kubeadm）。AI Kubernetes Upgrade Intelligence Platform — deterministic compatibility analysis + RAG-grounded LLM planning for safe cluster upgrades (EKS/GKE/AKS/OpenShift/kubeadm)

面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence

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.

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

一个由 AI 驱动的科研情报平台，利用 LLM 和现代 NLP 技术，实现语义搜索、基于 RAG 的问答、文献综述生成、研究空白检测、知识图谱构建、引文管理以及科研写作辅助。An AI-powered Research Intelligence Platform that enables semantic search, RAG-based question answering, literature review generation, research gap detection, knowledge graph construction, citation management, and scientific writing assistance using LLMs and modern NLP techniques.

本地、开源的推理框架，支持 Claude 和 Codex，包含 48 个编写好的系统，仅在需要更深层推理时选用。Local, open-source reasoning framework for Claude and Codex, with 48 authored systems selected only when deeper reasoning helps.

Autonomous AI Algorithm Discovery Laboratory：一个有边界、可复现的研究平台，在固定算力预算下提出、实现、测试、拒绝、改进并报告 AI 系统的候选改进方案。Autonomous AI Algorithm Discovery Laboratory: a bounded, reproducible research platform that proposes, implements, tests, rejects, refines, and reports candidate improvements to AI systems under a fixed compute budget.

关于备灾基础设施、离线连接、开源硬件与分布式制造的持续陪伴式资料：框架、案例研究、扩展文献综述与建议。Living companion on preparedness infrastructure, offline connectivity, open hardware, and distributed manufacturing: framework, case studies, extended literature review, and recommendations.

ResearchOS 是一款 MVP 级自主研究平台：输入研究问题，AI Agent 自动发现来源、验证证据、提取关键信息、交叉核对结论，并产出结构化的最终报告 — 全程实时可视化ResearchOS is an MVP autonomous research platform. Enter a research question; AI agents discover sources, verify evidence, extract key information, cross-check findings, and produce a structured final report — all visualized in real-time.

可验证混合 AI 执行的合约层 —— 研究预标准 0.36.0。A contract layer for verifiable hybrid AI execution — research pre-standard 0.36.0

使用纯 C 从零构建 LLM 推理引擎，不依赖任何框架。Build an LLM inference engine from scratch in pure C with no frameworks.

面向真实工程师的图工程（Graph-Engineering）：图定义工作流，工作流构建图。基于 mattpocock/skills。Graph-Engineering for Real Engineers: Graphs define workflows; workflows build graphs. Based on mattpocock/skills.

端到端系统化交易平台，覆盖可复现研究、共享行情与成交合约、投资组合回测与实盘交易。End-to-end systematic trading platform spanning reproducible research, shared market data and execution contracts, portfolio backtesting, and live trading.

AI 时代的工具联盟：可追溯的知识（Nexus·Archon）、可问责的审查与治理（Arbiter·Observer）、可理解的变更质量（Adept·Probe）。AI 构建，你来理解。An alliance of tools for the AI era: grounded knowledge (Nexus·Archon), accountable review & governance (Arbiter·Observer), and comprehension & mutation quality (Adept·Probe). AI builds it — you understand it.

2026 自主 AI Agent 平台 🚀——基于 MCP 与 DAG 的多 Agent SaaSAutonomous AI Agent Platform 2026 🚀 - Multi-Agent SaaS with MCP & DAG

一个工作流框架，适配所有编码 agent。通过与工具无关的核心，将你的 AI 编码规范安装到 Claude Code、Cursor、GitHub Copilot、Gemini CLI、Codex 和 Windsurf。Apache 2.0。One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.

模块化的学术写作 skills 套件，面向 AI 辅助研究，覆盖摘要、引言、相关工作、方法、实验与结论，具备证据感知推理、引用核查、术语一致性以及 clean/audit 模式。A modular suite of academic writing skills for AI-assisted research, covering Abstract, Introduction, Related Work, Method, Experiments, and Conclusion with evidence-aware reasoning, citation checks, terminology consistency, and clean/audit modes.

PRISMA 指导的混合方法系统综述，跨 4 项实证研究评估 AI 陪伴的社会心理、关系及长期心理健康影响。包含定量与定性 meta 综合、跨方法三角验证与理论框架映射。A PRISMA guided mixed methods systematic review evaluating the psychosocial, relational and long term mental health impacts of AI companions across 4 empirical studies. Features quantitative and qualitative meta synthesis, cross methodological triangulation and theoretical framework mapping

面向 LLM 的阶段感知上下文窗口治理框架。提供不变的上下文长度上限、基于熵的稳定性控制，以及针对降级（碎片化）状态的概率性保证，适用于生产级 LLM 系统。Phase-aware context window governance framework for Large Language Models (LLMs). Provides invariant context length caps, entropy-based stability control, and probabilistic guarantees against degraded (fragmentation) states for production LLM systems.

CryptoMindAI 是一个面向加密货币市场量化分析的开源研究框架，结合系统化策略、统计分析、回测、样本外验证与 AI 辅助研究；项目聚焦可复现实验与方法学稳健性，而非单纯生成交易信号CryptoMindAI is an open-source research framework for quantitative analysis of cryptocurrency markets, combining systematic strategies, statistical analysis, backtesting, out-of-sample validation and AI-assisted research. The project focuses on reproducible experimentation and methodological robustness rather than simply generating trading signals.

基于反事实决策影响与验证效用的效用引导型政策验证可复现研究框架A reproducible research framework for utility guided policy verification using counterfactual decision impact and verification utility.

一个可复现的研究原型，针对漂移感知欺诈检测，采用 actor-critic 强化学习、动态特征重加权与自适应回放，应对交易分布的持续演化A reproducible research prototype for drift-aware fraud detection using actor-critic reinforcement learning, dynamic feature reweighting, and adaptive replay under evolving transaction distributions.

证据优先的 AI 科研平台，支持文献综述、科学写作、配图生成与可发表论文产出Evidence-first AI research platform for literature review, scientific writing, figure generation, and publication-ready papers.

一个独立开发的板块轮动预测项目，2026 年重构为含回顾性方法学审计的可复现研究工具包An independently developed sector-rotation forecasting project, rebuilt in 2026 as a reproducible research toolkit with a retrospective methodological audit.

🍀 OpsRAG 是基于 RAG 的技术事故调查助手，帮助 DevOps 工程师、SRE、云工程师与平台工程师排查基础设施、应用与分布式服务问题🍀 OpsRAG is a technical incident investigation assistant based on Retrieval-Augmented Generation, designed to help DevOps engineers, SREs, Cloud Engineers, and Platform Engineers investigate problems in infrastructure, applications, and distributed services.

Mielepiù 工程案例研究——一款 B2B 销售平台，其 AI Agent 基于真实数据作答并给出引用来源。Engineering case study of Mielepiù, a B2B sales platform whose AI agent answers on real data and cites its sources.