Resources
Deep-dive guides, tutorials, and practical documentation for the AI tools you use every day.
57 resources across 25 tools
24 results
Dive into LLMs Practical Guide
A Chinese-language open-source tutorial series for hands-on LLM programming and practice.
marketingskills Agent Skills Guide
marketingskills is a GitHub resource library of marketing-focused Agent Skills for Claude Code, Codex, Cursor, Windsurf, and AI agents.
Impeccable
impeccable is a source-backed AI engineering resource. The design language that makes your AI harness better at design.
Awesome LLM Apps: Runnable Agent and RAG Templates
A practical guide to Awesome LLM Apps, the GitHub repository of runnable AI agent, RAG, MCP, voice agent, and fine-tuning templates.
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.
Mastering AGENTS.md: Codex Custom Instructions
Complete guide to AGENTS.md for OpenAI Codex — discovery hierarchy, override files, fallback filenames, /init scaffold, size limits, verification, and troubleshooting.
Claude Code MCP: Connect External Tools and Data Sources
Connect Claude Code to databases, browsers, APIs, and external tools using the Model Context Protocol. Setup guides for popular servers and troubleshooting.
Compound Engineering Plugin
compound-engineering-plugin is a source-backed AI engineering resource. Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
Learn Claude Code Agent Harness Guide
learn-claude-code is a 0-to-1 tutorial for building a Claude Code-like agent harness with tools, context, permissions, and progressive sessions.
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.
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.
Claude Code Subagents: Parallel Processing for Complex Tasks
Spawn specialized AI agents that work in parallel with their own context window. Learn built-in agents, custom subagents, and the master-clone architecture.
Claude Code Hooks: Automate Your Workflow with Lifecycle Events
Run shell commands, HTTP requests, and MCP tools automatically at key points in Claude Code's lifecycle. Build auto-format, lint gates, and audit trails.
Awesome Claude Code Resource Guide
A practical guide to Awesome Claude Code, a curated GitHub list of Claude Code skills, hooks, slash commands, agent orchestrators, apps, and plugins.
Claude Code Skills and Custom Commands: Extend Claude's Capabilities
Build reusable skills and slash commands for Claude Code. Package workflows, templates, and scripts that load on demand without bloating context.
Self-LLM Open Model Guide
A Chinese-language guide for fine-tuning and deploying open LLMs and multimodal models on Linux.
Claude Agent SDK: Build Custom AI Agents Programmatically
Use the Claude Agent SDK in Python and TypeScript to build AI agents that read files, run commands, and edit code autonomously.
Claude Code in CI/CD: GitHub Actions, GitLab CI, and Automation
Automate code review, issue triage, and PR creation with Claude Code in GitHub Actions, GitLab CI, and headless mode.
Neural Networks: Zero to Hero Guide
A builder-focused guide to Andrej Karpathy's Neural Networks: Zero to Hero course repository for learning neural networks from first principles.
Claude Code Tips Guide
Claude Code Tips is a practical collection of 45 workflow tips, scripts, commands, and patterns for using Claude Code more effectively.
Claude Code Game Studios Workflow Guide
Claude Code Game Studios packages agents, workflow skills, hooks, rules, and templates for structured AI-assisted game development in Claude Code.
Generative AI for Beginners Course Guide
Microsoft’s free Generative AI for Beginners course teaches 21 lessons for building AI apps with Python, TypeScript, Azure OpenAI, GitHub Models, and OpenAI.