code-learner

Parse codebases and generate structured Markdown learning guides.

1|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/oto1720/claude-agents-skills --skill code-learner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-learner
Source: https://github.com/oto1720/claude-agents-skills/tree/main/skills/code-learner
Command: npx skills add https://github.com/oto1720/claude-agents-skills --skill code-learner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically analyzes an existing codebase to generate learning-focused Markdown documentation, helping developers learn from real projects without manual documentation.

Core Features & Use Cases

  • Automatic codebase analysis to extract architecture, data flow, and key concepts.
  • Generation of structured learning docs including overview, architecture diagrams, and getting started guides.
  • Improves onboarding and knowledge transfer by translating complex code into approachable material.

Quick Start

Run code-learner on the target repository to immediately generate learning Markdown documentation.

Frequently Asked Questions about code-learner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate learning documentation from an existing codebase?

To generate learning documentation from a codebase, you can run an automated code analysis tool to parse key artifacts like README files and dependency manifests, outputting structured Markdown learning guides for engineers.

What sections are included in auto-generated codebase onboarding docs?

Auto-generated codebase onboarding docs typically include an overview, architecture, data flow, key concepts, and getting started sections, translating complex source code into approachable learning material.

How does automated code analysis extract architecture and data flow for knowledge transfer?

Automated code analysis extracts architecture and data flow by scanning common project structures and source directories, identifying key artifacts to produce structured Markdown content suitable for knowledge transfer.

Can I generate Markdown documentation for any programming language in my repository?

Yes, you can generate Markdown documentation for common project structures and languages by scanning for key artifacts such as README files, dependency manifests, and source directories to produce learning content.

What is the best way to create getting started guides for developers onboarding to a new project?

The best way to create getting started guides for onboarding is to automatically analyze the codebase and extract key concepts, generating structured learning documentation that helps developers learn from real projects.