仓库/Skill 库

面向全栈开发者的 66 个专业 Skill，将 Claude Code 打造为你的专家级结对编程伙伴。66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.

用于构建 AI agent 的企业级 AI 开发框架。它提供多 provider LLM 的统一管理、具备高精度检索的安全企业知识库、可视化工作流编排与多 agent 协作。兼容主流 Agent Skill 标准，使开发者能够高效构建生产级 [原文未完整]。An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

使用 R Markdown 撰写书籍与技术文档Authoring Books and Technical Documents with R Markdown

由蓝图驱动的 AutoResearch 运行时，用于编排 AI 科研工作流，涵盖创意生成、实验、论文写作与同行评审。A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

One Forge, All Skills: A curated skill collection for academic writing and research. 点开即用，按需配置的一站式学术研究skills平台。

ClaudeKit.cc 的全部强力 skill！All powerful skills of ClaudeKit.cc!

📹 一个更灵活的框架，支持任意分辨率视频生成以及从图像生成视频。📹 A more flexible framework that can generate videos at any resolution and creates videos from images.

🚀 AI 全自动化视频生成员工 | Your First AIGC Coworker. Chat an Idea. Get a Film. 🦞

跨技术栈的 Claude Skills，覆盖网站全生命周期：品牌、设计、内容、SEO、开发、运维、增长与研究。支持构建、发布、审计、优化。Stack-agnostic Claude Skills covering the full website lifecycle: brand, design, content, SEO, dev, ops, growth, and research. Build, ship, audit, optimize.

一个易用的模块化 RAG 框架An easy-to-use framework for modular RAG

OpenSkills：使用任意 LLM 在本地运行 Claude Skills。OpenSkills: Run Claude Skills Locally using any LLM

BioPhi 是开源抗体设计平台，提供自动化抗体人源化方法（Sapiens）、人源性评估（OASis）及计算机辅助抗体序列设计界面BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody sequence design.

面向学术研究的 Skill 市场：覆盖项目管理、文献综述、绘图制作以及报告与基金申请书撰写。A skill marketplace for academic research: from project management to literature review, making figures and writing reports and grants.

用 Claude Code 完成你的学术工作：选题、文献调研、撰写大纲、正文写作、审校、LaTeX-PDF。面向非技术用户的 Windows 与 macOS 指南。Deine wissenschaftliche Arbeit mit Claude Code: Thema, Recherche, Exposé, Schreiben, Prüfen, LaTeX-PDF. Für Nicht-Techniker, Windows und macOS.

Research Questions Task Force 交付物Research Questions Task Force deliverables

用于可复现研究的透明评估框架Transparent Assessment Framework for Reproducible Research

AIWritePaper｜AI学术写作全流程：跨Agent的论文方向路由、文献核验、学术配图、DOCX/PDF与分级验收Skill。

AnchorBell：Rust 优先、仅做市商模式的 Binance 股票永续交易引擎——可复现研究、历史回测、行情数据重放、受控 Testnet 执行、风险控制、订单生命周期管理、恢复与可观测性。AnchorBell: Rust-First Maker-Only Binance Equity Perpetual Trading Engine - reproducible research, historical backtesting, market-data replay, controlled Testnet execution, risk controls, order lifecycle management, recovery, and observability.

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.

一体化学术研究 Skill 套件：7 个仓库合并为一个路由式 Skill — 186 个 Skill、20 篇合并指南、148 篇工具指南，涵盖论文发现、阅读、文献综述、写作、同行评审、 rebuttal 与发表，以及 12/23 阶段自主研究流水线。All-in-one academic research skill suite: 7 repositories consolidated into one router-style skill — 186 skills, 20 merged guides, 148 tool guides, covering paper discovery, reading, literature review, writing, peer review, rebuttal, and publishing, plus 12/23-stage autonomous research pipelines.

在消费级 GPU 上自动化机器学习模型从论文阅读到实验执行与同行评审的完整研究工作流Automate the full research workflow from paper reading to experiment execution and peer-review for machine learning models on consumer GPUs.

本地优先、由 LLM 驱动的系统文献综述 (SLRs) 平台，以人机协同方式自动完成筛选与提取Local-first, LLM-powered platform for Systematic Literature Reviews (SLRs)—automating screening and extraction with human-in-the-loop precision.

本地优先的量化投资平台，支持可复现研究、证据约束决策、风险控制、论文/影子验证以及人工监督执行Local-first quantitative investing platform for reproducible research, evidence-bound decisions, risk controls, paper/shadow validation, and human-supervised execution.

Claude Code 学术写作框架：通过模式门控的 Agent 工作流，确保全文引用可核验、改写忠于原意、并保持作者风格Claude Code framework for academic writing: verified full-text citations, scope-faithful paraphrase, and voice preservation, enforced by a mode-gated agent workflow

Loop Mega Universe (LMU) — 循环黑洞宇宙学框架：aeon 在冷而稀薄的条件下终结；最后存活的 BH 蒸发——必然——其终末闪光触发已在 α-attractor plateau 上的 ω-inflaton → 一次闪光，一次点火，一个新 aeon。两条公理，状态标注，预注册的可证伪条件发布于 OSF。V3.29，109 页。Loop Mega Universe (LMU) — cyclic black-hole cosmology framework: aeons end cold & dilute; the last survivor BH evaporates — certainly — and its terminal flash triggers the ω-inflaton already on the α-attractor plateau → one flash, one ignition, one new aeon. Two axioms, status-labelled, pre-registered falsifiers on OSF. V3.29, 109 pp.

基于 ESP32-P4（SeedSigner 生态）的无状态安全引导加载器分阶段开发，从文献综述起步，依次完成安全启动、SD 卡载荷加载、Specter bundle 验证以及反钓鱼加固。Phase-by-phase development of a stateless secure bootloader for ESP32-P4 (SeedSigner ecosystem) from literature review to secure boot, SD card payload loading, Specter bundle verification, and anti-phishing hardening

项目一：竞赛团队——面向异质性乳腺癌的逻辑门控药物递送，竞赛撰稿进行中。项目二：两种蛋白之间的通用 RNA Linker，融合蛋白质粒进入第二轮设计迭代。项目三：基于 RNA 核糖开关的金属检测，启动全细胞生物传感的文献综述。Project 1: Competition Team - Logic-gated Drug Delivery for Heterogeneous Breast Cancer Competition Writeups underway Project 2: Generic RNA Linker between two proteins Plasmids for fusion proteins are in second round of design iterations Project 3: Metal Detection using RNA Riboswitch Beginning Literature Review for whole cell bio-sensing

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.

由 LLM 编排的自主 EDA 与数据预处理框架 — 自动生成面向特定数据集的研究问题，编写并自我修正分析代码，自动选择可视化。基于 Claude/GPT 构建。LLM-orchestrated framework for autonomous EDA and data pre-processing — generates dataset-specific research questions, writes and self-corrects analysis code, and auto-selects visualizations. Built with Claude/GPT.

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.

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).

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.