Resources

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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.

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

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

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.

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

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

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

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

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

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.

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

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

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.

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

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

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

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.

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

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

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

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

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

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.

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.

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

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

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

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