仓库/Skill 库

MIT 许可、无 COM 依赖的 .NET 库，用于创建、读取、编辑、转换、渲染和提取 Office、PDF、邮件、OneNote 及文本格式。MIT-licensed, COM-free .NET libraries for creating, reading, editing, converting, rendering, and extracting Office, PDF, email, OneNote, and text formats.

Pax 是一个基于 Jax 的机器学习框架，用于训练大规模模型。Pax 支持先进且完全可配置的实验与并行化，并已展现出业界领先的模型 FLOP 利用率。Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

轻松微调、构建并部署开源 LLM！🏗️ Fine-tune, build, and deploy open-source LLMs easily!

First Principles Framework (FPF)：面向系统工程、研究与管理的 AI 原生模式语言。用于架构决策、证据、权衡与方法工程的共享人机推理。FPF Core 与领域框架（DPFs）。First Principles Framework (FPF): AI-native pattern languages for systems engineering, research and management. Shared human-AI reasoning for architecture decisions, evidence, trade-offs and method engineering. FPF Core and domain frameworks (DPFs).

一款小型 macOS 应用，将 Caps Lock 键变为物理防休眠开关，用于合盖状态下的 MacBook 工作。A tiny macOS app that turns Caps Lock into a physical keep-awake switch for closed-lid MacBook work.

面向 Machine Learning 的数据搜索与增强库 —— 可从数百个公开和付费的外部数据源（包括开源和商用 LLM）中轻松查找并添加相关特征到你的 ML & AI pipelineData search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

仓库级代码生成与 Issue 修复必读论文 🔥Must-read papers on Repository-level Code Generation & Issue Resolution 🔥

企业级 SaaS API 的本地模拟器——涵盖 Slack、Gmail、Google Drive、GitHub、Jira、Notion、S3 等——具备真实的响应结构、分页、鉴权以及逐文档 ACL，运行于用户自提供的语料之上。A local emulator for enterprise SaaS APIs — Slack, Gmail, Google Drive, GitHub, Jira, Notion, S3 and more — with the real response shapes, pagination, auth and per-document ACLs, over a corpus you supply.

基于可视化工作流的人机协同数据科学Human-AI Collaborative Data Science Using Visual Workflows

面向教育领域的人工智能（AI）与大语言模型（LLM）论文精选。Awesome artificial intelligence (AI) and large language model (LLM) for education papers.

c4 GenAI Suitec4 GenAI Suite

生产就绪的 FastAPI 平台，模块化组件，内置 control plane。A production-ready FastAPI platform with modular components and a built-in control plane.

:bookmark_tabs: 开放 CS/AI 知识库，包括「基础知识、数据结构与算法、软件开发、大模型」等体系化的笔记

Windows 托盘上的 Kimi Code 用量监控：左键看额度，低额变红提醒。Tauri 2 + Rust，安装包仅 4 MB。

mloda.ai - 面向 AI 与 ML 的开放数据访问。基于插件、可追溯、与框架无关。mloda.ai - Open Data Access for AI and ML. Plugin-based. Traceable. Framework-agnostic.

类 GitHub 风格的 Jenkins CLI——在终端管理 context、构建运行、日志与管理员任务。GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

面向 ARM Cortex-M 与 RISC-V 的确定性固件模拟器，具备硬件验证的一致性。Deterministic firmware simulator for ARM Cortex-M and RISC-V — with hardware-validated parity

面向领域专家、角色画像、创意实践、结构化工作流与原型生成的精选可复用 LLM prompt 库。A curated library of reusable LLM prompts for domain experts, personas, creative practice, structured workflows, and archetype generation.

保存文章、AI 研究来源和 newsletter 邮件链接。准备好时再阅读。无第三方追踪。由 js-cookie 的作者基于其 10 年个人阅读系统打造。Save articles, AI research sources, and newsletter email links. Read them when you're ready. No third-party tracking. Built by the creator of js-cookie from a 10-year personal reading system.

Codex、Claude Code 和 Grok 的桌面 provider 管理器与本地故障转移路由器。Desktop provider manager and local failover router for Codex, Claude Code, and Grok.

[CoLM 2026] MoANT 官方代码：面向多任务大语言模型微调的语义感知秩一专家混合模型[CoLM 2026] Official code for MoANT: Mixture-of-Rank-One-Experts with semantic-aware Intuition for Multi-task Large Language Model Finetuning

🚀 掌握 prompt engineering，通过指南、示例与最佳实践优化 AI 交互，覆盖各技能水平与应用领域。🚀 Master prompt engineering to optimize AI interactions with guides, examples, and best practices for all skill levels and domains.

AGI简史 — 持续更新的 AGI 知识体系 | A Brief History of AGI: books, knowledge base, and ecosystem tracking for the open-source LLM era

Promovolve 是一项试图找回杂志广告昔日魅力的尝试。Promovolve is an attempt to get back what magazine advertising had!

🤖 利用 TRPO、PPO、DPO、GRPO、DAPO、GSPO 等先进算法提升强化学习的稳定性与效率，优化策略训练。🤖 Enhance reinforcement learning stability and efficiency with advanced algorithms like TRPO, PPO, DPO, GRPO, DAPO, and GSPO for optimized policy training.

🧪 Cypress AI 命令，通过 LLM（大语言模型）生成 E2E 测试🧪 Cypress AI command that generates E2E tests with LLM (Large Language Model).

自动跟踪、下载并分析 HuggingFace 上的 AI 论文，轻松掌握前沿研究 🐙📄Automate the tracking, downloading, and analysis of AI papers from HuggingFace. Stay updated with cutting-edge research effortlessly! 🐙📄

自维护的 API 集成——监控代码所调用的第三方 API，在出现故障、漂移或浪费资金时自动提交经 CI 验证的 pull request。Self-maintaining API integrations — watches the third-party APIs your code calls and opens CI-verified pull requests when one breaks, drifts, or wastes money.

按模型自适应地缩放系统提示指引：一个 oh-my-pi 插件，按模型系列、版本与层级追加经过能力调优的指令块。Scales system-prompt guidance to the model reading it: an oh-my-pi plugin that appends a capability-tuned directive block chosen by model family, version, and tier.

Claude Code 扩展、hooks 和插件的实时索引，每 15 分钟从 GitHub 刷新一次。Live index of Claude Code extensions, hooks, and plugins — refreshed every 15 minutes from GitHub

MedTrack 是基于 React 与 Spring Boot 构建的全栈医疗设备管理系统，通过基于角色的安全访问简化库存、维护与设备订购流程。MedTrack is a full-stack medical equipment management system built with React and Spring Boot. It streamlines inventory, maintenance, and equipment orders through secure role-based access.

Dust：一款受 React/Vue 启发的现代化、组件化 Dart Web 框架，基于 WebAssembly（WASM）构建，具有高性能与流畅的开发体验，可使用 Dart 构建健壮、类型安全的 Web 应用。Dust: A modern, component-based Dart web framework inspired by React/Vue. Built with WebAssembly (WASM) for high performance and a seamless developer experience. Create robust, type-safe web applications with the power of Dart.

🐙 通过 Python 与 PyTorch 实战代码深入理解 LLM 内部机制，掌握 LLM 架构、训练及核心原理。🐙 Explore the inner workings of large language models with hands-on Python and PyTorch code. Master LLM architecture, training, and mechanisms for AI systems.

从零开始构建开源预训练 LLM，附带已发布的数据、训练代码、消融实验与结果，以高效提升模型质量。Build open pretraining LLMs from scratch with released data, training code, ablations, and results to improve model quality efficiently

准确捕获 macOS 听写内容，不改写你的措辞，保留真实输入并规避常见应用问题Capture macOS dictation accurately without rewriting your words, keeping your input true to what you speak and avoiding common app issues.