Resources

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

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.

Dashi PPT Skill is an AI-agent resource for generating browser-editable presentations with 12 themes, editable controls, and PPTX, PDF, or HTML export.

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

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.

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

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.

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

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

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

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.

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

Compare Riverside, CapCut, VEED and Premiere with Descript by recording setup, transcript editing, video clips, exports and the billing limits that matter.

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

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

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.

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.

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

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.

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.

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

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.

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

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

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

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 workbook and four CSV checklists for Microsoft 365 and ChatGPT administrators to assign deployment controls, run a bounded pilot and record rollout evidence.

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

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 Machine-Learning-Interviews repository for ML, AI engineering, deep learning, and system-design interview prep.

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

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

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

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.

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

Three editable worksheets help you inventory Notion Mail-only material, map views to a replacement workflow and verify the saved results before shutdown. Includes CSVs and a complete ZIP.

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

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

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

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

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

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

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

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