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Resources

Official and community links, updated (2026), to dive deeper into Claude Code.

Official documentation

  • Official Quickstart
  • Main documentation
  • Claude Code 101 (official Anthropic course)
  • How Anthropic teams use Claude Code (PDF)

Skills

  • Complete guide to creating Skills (official Anthropic PDF)
  • Official Skills repository (Anthropic)
  • Awesome Claude Skills (curated, 1000+)
  • Skills collection (337+)
  • superpowers (framework: turns Claude Code into a senior dev)
  • awesome-claude-code-toolkit (agents + skills + hooks + MCP)
  • claude-mem
  • obsidian-skills

Tools

  • Repomix (packages your repo into a single file for context)

MCP (Model Context Protocol)

  • Official MCP site
  • Official MCP servers repository
  • GitHub MCP Server (most widely used)

Courses and tutorials in Spanish (YouTube)

  • Claude Code 2026: Complete Course (Benjamín Cordero)
  • Claude Code from Scratch, Complete Course (Agustín Medina)
  • Claude Code: Complete 2-Hour Course

Tutorials in English

  • The Claude Code Handbook (FreeCodeCamp)
  • Net Ninja – Claude Code (playlist)
  • Programming with Mosh – Claude Code

X accounts to stay up to date

  • @bcherny (creator of Claude Code)
  • @trq212 (Claude Code developer)
  • @rubenhassid (free guides)
  • @charliejhills (skills compilations)
Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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