Resources
Deep-dive guides, tutorials, and practical documentation for the AI tools you use every day.
140 resources across 66 tools
24 results
Sepia De-AI Writing Skill Guide
A practical guide to Sepia, the Agent Skills-compatible de-AI writing skill for improving generated prose in Claude Code, Codex, and related workflows.
General
letsfinddomain-skill Domain Research Guide
A practical guide to the read-only AI skill for finding domain names, checking availability in bulk, and comparing renewal prices from registrars.
awesome-claude-code-subagents
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.
Hands-On Machine Learning 3
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 Courses: Claude API, Prompting, Evals, and Tool Use
Anthropic Courses is the official Anthropic educational repository for Claude API fundamentals, prompt engineering, real-world prompting, prompt evaluations, and tool use.
diagram-design for Claude Code diagrams
A practical guide to diagram-design, the Claude Code plugin and agent-skill resource for creating editorial HTML and SVG diagrams without Mermaid defaults.
Pytorch Deep Learning Resource Guide
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Databricks AI Bootcamp Capstone Project Ideas
A practical guide to Databricks AI Bootcamp Capstone, a project-brief repository for Spark data apps, retrieval, frontend work, and AI agents.
ADK Samples: Runnable Agent Recipes for Google ADK
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.
AIMLInterviews: AI and Machine Learning Interview Prep Guide
AIMLInterviews is a GitHub study guide for machine learning and AI technical interview preparation, useful as a topic checklist and practice map.
buildwithclaude
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.
Microsoft ML-For-Beginners Curriculum
A practical guide to Microsoft ML-For-Beginners, a free 12-week curriculum for classic machine learning with Python and scikit-learn.
fastbook: Practical Deep Learning Notebooks with fastai
fastbook is the public notebook companion for the fastai deep learning book and MOOC, covering practical AI with fastai and PyTorch.
Claude Cookbooks - Recipes & Guides for Building with Claude
A comprehensive collection of Jupyter notebooks and code recipes showcasing effective ways to use Claude for classification, RAG, summarization, tool use, vision, and more.
AI for Beginners
AI-For-Beginners is Microsoft’s twelve-week, twenty-four-lesson curriculum for learning AI fundamentals with structured lessons and hands-on practice.
hello-agents AI Agent Course
A practical guide to using Datawhale China’s hello-agents course as a structured learning path for AI agent principles, examples, and implementation patterns.
Complete Agentic AI Engineering Course Repository
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.
Hands On Ai Engineering
Hands-On AI Engineering Projects
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.
Claude Code in Your IDE: VS Code, JetBrains, and Desktop App
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.
agent-skills: Production Engineering Workflows for AI Coding Agents
A practical guide to addyosmani/agent-skills, a Markdown skill pack that gives AI coding agents specs, plans, tests, reviews, and release gates.
Happy LLM From-Scratch Course
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
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.