Openai Resources

A practical guide to the Humanizer agent skill, which rewrites AI-sounding text while preserving source claims, code, data, links, and writer intent.

A guide to prompts.chat, the open-source prompt library formerly known as Awesome ChatGPT Prompts, including when to use it and how teams can self-host it.

A builder-focused guide to academic-research-skills, a Claude Code skill suite for literature review, writing, peer review, revision, and finalization.

A practical guide to addyosmani/agent-skills, a Markdown skill pack that gives AI coding agents specs, plans, tests, reviews, and release gates.

A practical guide to using the image-prompt-reverse repository for AI image prompt analysis, prompt QA, and visual style reconstruction.

A builder-focused guide to open-seo-mcp-skills, an MIT resource collection for SEO, GEO, rank tracking, site audits, and AI visibility workflows driven through Claude and MCP-connected data.

A practical guide to the awesome-cursorrules repository, a curated set of configuration files for improving Cursor AI editor behavior across languages and frameworks.

A practical guide to miniEvoAgent, a small educational repository for reproducing and studying self-evolving or recursive self-improvement agent patterns.

A reference guide to the awesome-free-llm-apis list of permanent free LLM API providers and OpenAI-compatible endpoints.

A builder-focused guide to the agentic-awesome-skills catalog, including what it is, when to use it, evaluation checks, and adoption risks.

A beginner-friendly large language model application development course from Datawhale China, reviewed as an OpenTools learning resource.

A practical guide to BMAD-METHOD, the Breakthrough Method for Agile AI-driven development workflows.

A practical guide to using Graphify to turn code, schemas, scripts, documents, and media into a queryable graph for AI coding workflows.

A practical guide to Google Labs Code DESIGN.md, the Markdown-and-YAML format that gives coding agents structured design-system context.

A practical guide to Hallmark, an open-source design skill that helps coding agents produce less generic UI work.

A practical guide to the Machine-Learning-Interviews repository for ML, AI engineering, deep learning, and system-design interview prep.

A builder-focused guide to the wshobson/agents repository, a large multi-harness library of agents, skills, plugins, and commands.

A practical overview of the Agent2Agent protocol, why it matters for multi-agent systems, and how builders should evaluate it.

A Chinese-language guide for fine-tuning and deploying open LLMs and multimodal models on Linux.

A Chinese-language open-source tutorial series for hands-on LLM programming and practice.

A practical guide to Awesome LLM Apps, the GitHub repository of runnable AI agent, RAG, MCP, voice agent, and fine-tuning templates.

A public GitHub reference collection of extracted system prompts from major AI tools, useful for studying prompt design, agent behavior, and safety patterns.

A practical GitHub resource for developers learning LLM, RAG, and AI agent engineering through hands-on tutorials and examples.

The official OpenAI Cookbook is a comprehensive collection of examples, guides, and best practices for using the OpenAI API. Covers GPT-4, ChatGPT, embeddings, fine-tuning, and more.

The repository is a curated collection of practical AI engineering projects covering OCR systems, RAG apps, AI agents, audio applications, multimodal workflows, and production-oriented examples. The GitHub summary reports about 2.1k stars, MIT licensing, and recent activity in June 2026.

Get Codex running in under 5 minutes. Covers CLI installation on every platform, authentication with ChatGPT or API keys, your first tasks, the desktop app, Codex Cloud, and IDE extensions.

The repository teaches a Transformer-based language model workflow in PyTorch, covering data download, preprocessing, model building, training, checkpoints, text generation, and post-training methods such as SFT, reward modeling, PPO, DPO, and GRPO/RLVR. The GitHub summary reports an MIT license, roughly 5.6k stars, and a companion documentation site.

fastbook is the public notebook companion for the fastai deep learning book and MOOC, covering practical AI with fastai and PyTorch.

A community-created collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge your GitHub Copilot experience. 31K+ GitHub stars.

Master Codex CLI: interactive vs exec mode, key flags (--full-auto, --sandbox, --model), config.toml setup, slash commands, and remote WebSocket sessions.

A visual, example-driven guide to Claude Code covering basic concepts through advanced agents, with copy-paste templates and quizzes. Synced with every Claude Code release.

Complete guide to AGENTS.md for OpenAI Codex — discovery hierarchy, override files, fallback filenames, /init scaffold, size limits, verification, and troubleshooting.

A comprehensive guide to the Codex Skills and Plugins system - how skills are defined, stored, invoked, bundled into plugins, and configured for OpenAI agents.

Set up Claude Code in VS Code, JetBrains IDEs, the Desktop app, or Web mode. Compare surfaces and find the right one for your workflow.

Anthropic's official collection of Jupyter notebooks and code recipes demonstrating practical Claude usage patterns including agents, tool use, RAG, and multimodal capabilities.

Anthropic’s Claude Quickstarts repository gives developers deployable starter projects for building support agents, analysts, computer-use demos, and browser-use apps with the Claude API.

A practical GitHub course companion for mastering LLM engineering with notebooks, labs, projects, and source-backed examples for builders.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Anthropic Courses is the official Anthropic educational repository for Claude API fundamentals, prompt engineering, real-world prompting, prompt evaluations, and tool use.

AIMLInterviews is a GitHub study guide for machine learning and AI technical interview preparation, useful as a topic checklist and practice map.

A high-signal GitHub reference collection for studying system prompts, internal tool specs, and model patterns across popular AI products.

A public companion repository with supporting materials for Chip Huyen’s AI Engineering book and practical AI engineering study paths.

AI-For-Beginners is Microsoft’s twelve-week, twenty-four-lesson curriculum for learning AI fundamentals with structured lessons and hands-on practice.

A practical guide to ARIS, the Auto-Research-In-Sleep workflow kit for autonomous ML research agents and Markdown-only skills.

Community-contributed collection of GitHub Copilot instructions, agents, skills, and configurations to help you get the most out of GitHub Copilot in your workflow.

A comprehensive collection of Jupyter notebooks and code recipes showcasing effective ways to use Claude for classification, RAG, summarization, tool use, vision, and more.

A practical course and code repository for learning how to design, develop, deploy and iterate on production-grade machine learning applications.

Anthropic Skills is a public reference repository for Claude and Agent Skills, with examples, templates, and patterns for reusable agent workflows.

A curated collection of 100+ specialized Claude Code subagent configurations covering code review, testing, DevOps, database, security, and more.

Google ADK Samples is a public collection of runnable agent recipes that teach Agent Development Kit patterns for OAuth, memory, guardrails, RAG, customer service, and research workflows.

Hands-On Machine Learning 3 is a public Jupyter notebook series for learning practical machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow 2.

Anthropic commerce-agents is a reference blueprint for building Claude-powered shopping, merchant, telecom, and entertainment agents.

Claude Ads is a Claude-first paid-media operations skill pack for source-grounded audits, plans, reporting and guarded account-change workflows across major ad platforms.

A curated GitHub index of official, free, written AI and machine-learning course notes from universities, filtered for prose quality and primary-source links.

A curated OpenAI repository showing Codex plugin examples, manifests, skills, app integrations, commands, hooks and MCP-backed workflow patterns.

A guide to Ed Donner’s agents repository, which supports a six-week Agentic AI Engineering course using OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP.

Claude Code Tips is a practical collection of 45 workflow tips, scripts, commands, and patterns for using Claude Code more effectively.

A builder-focused guide to Andrej Karpathy's Neural Networks: Zero to Hero course repository for learning neural networks from first principles.

A practical guide to using Datawhale China’s hello-agents course as a structured learning path for AI agent principles, examples, and implementation patterns.

The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries, and more.

Microsoft’s free Generative AI for Beginners course teaches 21 lessons for building AI apps with Python, TypeScript, Azure OpenAI, GitHub Models, and OpenAI.

Anthropic’s interactive prompt engineering tutorial teaches Claude prompting through 9 chapters, exercises, examples, and a Google Sheets learning path.

learn-claude-code is a 0-to-1 tutorial for building a Claude Code-like agent harness with tools, context, permissions, and progressive sessions.

A practical guide to the LLMs-from-scratch repository, the official PyTorch code companion for learning GPT-style models step by step.

Claude Code Game Studios packages agents, workflow skills, hooks, rules, and templates for structured AI-assisted game development in Claude Code.

🎭 211 个即插即用的 AI 专家角色 — 支持 Hermes Agent/Claude Code/Cursor/Copilot 等 16 种工具，覆盖工程/设计/营销/金融等 18 个部门。含 46 个中国市场原创智能体（小红书/抖音/微信/飞书/钉钉等）

GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to s

Claude Plugins Community is Anthropic’s read-only mirror of the community plugin marketplace for Claude Cowork and Claude Code, including the install source for approved community plugins.

A practical guide to mattpocock/skills, a high-signal collection of composable skills for Claude Code, Codex, and coding agents.

A practical guide to Microsoft ML-For-Beginners, a free 12-week curriculum for classic machine learning with Python and scikit-learn.

Nie Grassroots Logic is a Chinese-language Agent Skill methodology toolkit that adapts frameworks from Nie Huihua’s grassroots governance work for AI-assisted analysis and decision support.

Agent Skills is an Apache-2.0 specification and documentation project for packaging reusable AI-agent capabilities as portable skill folders.

A curated reference to Arindam Majumder’s awesome-ai-apps repository, a large collection of practical RAG, agents, voice, MCP, memory, and workflow examples.

A source-backed guide to the 500 AI Agents Projects repository, a curated collection of practical AI-agent use cases and open-source implementation links.

Scientific Agent Skills is a large open-source library of ready-to-use skills for research, science, engineering, finance, and writing agents.

Connect Claude Code to databases, browsers, APIs, and external tools using the Model Context Protocol. Setup guides for popular servers and troubleshooting.

Side-by-side comparison of Claude Code, Cursor, and GitHub Copilot. Features, codebase depth, pricing, and when to choose each tool.

A practical guide to Anthropic's official Claude Code plugin directory, its repository structure, install command, trust model, and use cases.

Guide to the i-have-adhd coding-agent skill, including what it changes, where it fits, and how developers can adopt it for clearer agent output.

A practical guide to Sepia, the Agent Skills-compatible de-AI writing skill for improving generated prose in Claude Code, Codex, and related workflows.

Guide to the forward-implementation-first agent skill, including its action classification model and when to use it in agentic pipelines.

A practical reference for engineers designing reliable production systems, including AI systems, inference, serving, agents, memory, security, reliability, cloud, HPC, and edge architecture.

A builder-focused guide to the Awesome DeepSeek Harness repository and its curated DSH ecosystem links.

A source-backed guide to Cloudflare Skills, Cloudflare’s public skills repository for teaching agents how to build on Cloudflare’s developer platform.

A source-backed guide to human-writing, a Chinese writing and editing skill that helps AI-generated Chinese text read like a specific person rather than generic model prose.

A source-backed guide to claude-seo, a Claude Code skill collection for technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, Google APIs, and reporting.

A source-backed guide to Google’s public Agent Skills repository for Google Cloud, Gemini, Agent Platform, GKE, BigQuery, RAG, monitoring, logging, and agent operations.

A source-backed guide to Andrej Karpathy’s micrograd repository, a tiny educational autograd engine and neural-network library with a PyTorch-like API.

nanoGPT is Andrej Karpathy’s compact GPT training and finetuning resource for builders who want to understand medium-sized GPTs through runnable PyTorch code, Shakespeare quickstarts, and GPT-2 reproduction notes.

A curated Claude Skills resource for builders who want reusable instruction packages, plugin examples, app-connection workflows, and practical Claude Code customization patterns from the ComposioHQ repository.

A practical reference to BuilderIO Skills, the open-source collection of composable skills for coding agents such as Codex, Cursor, OpenCode, GitHub Copilot, and Claude Code.

marketingskills is a GitHub resource library of marketing-focused Agent Skills for Claude Code, Codex, Cursor, Windsurf, and AI agents.

A Packt companion repository and learning resource for building practical AI agents with notebooks, provider setup, and architecture examples.

A practical resource for evaluating the wondelai-skills collection of reusable agent skills for Claude Code and agentskills.io-compatible coding agents.

Google Gemma Cookbook is a collection of examples, guides, and notebooks for working with Google’s Gemma open model family.

Open-source course for building a second brain AI assistant with LLMs, RAG, agents, fine-tuning, LLMOps, and production AI systems practices.

Shopify example implementations for Anthropic commerce-agent patterns, including storefront and merchant agent workflows over Shopify APIs.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. OpenTools treats it as an educational machine-learning resource for builders, with source-backed usage and verification notes.

A collection of MCP servers. OpenTools treats it as a practical MCP discovery resource for builders, with source-backed usage and verification notes.

AWS Labs workflow steering rules for running AI coding agents through a staged, auditable development lifecycle.

reverse-skill is a security research skill router pack for Claude Code, Kiro, Cursor, Cline, and similar AI coding clients. It focuses on authorized reverse engineering and penetration-testing workflows.

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases OpenTools classifies it as a developer resource because it is a Claude extension and agent workflow hub, not a single tool or model.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost. OpenTools classifies it as a developer resource because it teaches loop engineering patterns for AI coding agents.

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw OpenTools classifies it as a developer resource because it is a Claude extension and agent workflow hub, not a single tool or model.

A practical guide to the read-only AI skill for finding domain names, checking availability in bulk, and comparing renewal prices from registrars.

RealReplicaBench: Benchmarking Long-Horizon Agents in High-Fidelity, Stateful, and Reproducible Replicas of Real Online Services OpenTools classifies it as an AI-agent evaluation resource for builders testing realistic long-horizon workflows.

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. OpenTools classifies it as a practical AI-builder resource with source-backed setup and learning notes.

Repeatable agents-plus-code workflows, packaged as one skill, stamped into any repo. Deterministic Python owns the graph; coding agents are bounded nodes inside it. OpenTools classifies it as a practical AI-builder resource with source-backed setup and learning notes.

非官方 Kimi Slides Skill：让 AI Agent 生成可编辑 PPTD + PPTX，并附带本地浏览器编辑器 Unofficial Kimi Slides skill for AI agents — generate editable PPTD + PPTX with a local browser editor OpenTools classifies it as a developer resource because it is an unofficial Kimi Slides skill package for AI agents.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术 OpenTools classifies it as an AI systems learning resource for builders working below the API layer.

A Gemini 2.5 and LangGraph quickstart for building full-stack agent apps. OpenTools classifies it as a developer resource because it is source-backed example code.

Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents. OpenTools classifies it as a resource because it is a reusable skills framework rather than a standalone software product.

compound-engineering-plugin is a source-backed AI engineering resource. Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

Use TorchCode to practice PyTorch operators, attention, GPT-style components and ML interview problems in a Jupyter-based training environment today.

Study Claude Code system prompts, builtin tool descriptions, sub-agent prompts and utility prompts with this maintained GitHub reference collection today.

RAG_Techniques is a large tutorial repository for advanced Retrieval-Augmented Generation patterns, notebooks, scripts, and evaluation examples.

Mythos Claude Skill Forge is a community Claude skills and plugin pack for experimenting with lenses, subagents, hooks, and agent behavior design.

Anthropic Cybersecurity Skills is a large community skill library that maps AI-agent cybersecurity workflows to MITRE, NIST, ATLAS, D3FEND, and AI RMF frameworks.

The Gemini API Cookbook is Google Gemini’s hands-on example repository for quickstarts, notebooks, agents, multimodal use cases, and practical API patterns.

impeccable is a source-backed AI engineering resource. The design language that makes your AI harness better at design.

Automate code review, issue triage, and PR creation with Claude Code in GitHub Actions, GitLab CI, and headless mode.

Master context management, plan mode, auto mode, effort levels, git workflows, voice input, custom status lines, and autonomous work patterns.

A practical guide to micro-vLLM, a small educational implementation for learning LLM inference, scheduling, KV-cache management, and GPU execution.

The ultimate configuration framework for Claude Code with 28 subagents, 119 skills, 60 commands, and AgentShield security scanner. 168K GitHub stars.

Happy LLM From-Scratch Course is a source-backed GitHub resource for AI builders. OpenTools verified the upstream repository, public metadata, and latest activity before publishing this guide.

A practical guide to Awesome Claude Code, a curated GitHub list of Claude Code skills, hooks, slash commands, agent orchestrators, apps, and plugins.

A practical guide to the qiaomu Anything to NotebookLM Claude Skill for converting web, video, PDF, Markdown, and search sources into NotebookLM-ready outputs.

A practical guide to using Matt Pocock's public Claude Code skills repository as a reference library for reusable local AI coding workflows.

NVIDIA Nemotron Developer Asset Hub is a source-backed GitHub resource for AI builders. OpenTools verified the upstream repository, public metadata, and latest activity before publishing this guide.

Web Quality Skills for AI Agents is a source-backed GitHub resource for builders using agent skills to audit Lighthouse, Core Web Vitals, accessibility, SEO, and frontend quality checks.

A practical guide to the claude-code-best-practice repository, covering subagents, commands, skills, hooks, memory, MCP, and workflow orchestration for Claude Code users.

A practical guide to the pm-skills repository, a marketplace-style collection of agentic product-management skills, commands, and plugins for discovery, strategy, launch, and growth workflows.

A practical guide to Time to First Token, a 10-week curriculum for building, measuring, tuning, and benchmarking an LLM inference service.

A practical guide to diagram-design, the Claude Code plugin and agent-skill resource for creating editorial HTML and SVG diagrams without Mermaid defaults.

A GitHub collection of specialized AI agency agent profiles, workflows, and deliverable patterns for builders designing multi-agent service teams.

A practical guide to Databricks AI Bootcamp Capstone, a project-brief repository for Spark data apps, retrieval, frontend work, and AI agents.

Caveman is a Claude Code skill that intentionally compresses communication style to reduce token use while keeping instructions understandable for coding work.

A Claude Code skill-pack resource for Chinese web-novel workflows, covering research, outline building, drafting, style cleanup, and cover flow.

The official Model Context Protocol servers repository, useful as a reference catalog for MCP server implementations and integration patterns.

superpowers-zh is a Chinese enhanced edition of the Superpowers AI coding workflow, with localized material and original skills for AI coding tools.

Google Cloud’s generative-ai repository collects sample code, notebooks, and examples for Gemini, Vertex AI, and related cloud AI workflows.