codebase-explainer

Generates architecture documentation and onboarding guides by analyzing codebase structure and patterns.

1|Updated Oct 11, 2025
One-click install
npx skills add https://github.com/codewizwit/human-in-the-loop --skill codebase-explainer-codewizwit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-explainer
Source: https://github.com/codewizwit/human-in-the-loop/tree/main/lib/skills/codebase-explainer
Command: npx skills add https://github.com/codewizwit/human-in-the-loop --skill codebase-explainer-codewizwit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Developers joining an unfamiliar repository often spend hours reading scattered files to understand the architecture, conventions, and entry points. This Skill automates that discovery process by analyzing the actual codebase and producing structured documentation with diagrams and prioritized reading lists. ## Core Features & Use Cases - Automated Codebase Discovery: Maps directory trees, detects tech stacks from configuration files, and identifies project types such as monorepos, APIs, or libraries. - Adjustable Detail Levels: Produces Quick summaries, Standard documentation, or Comprehensive deep dives with ASCII architecture diagrams based on user preference. - Structured Onboarding Output: Generates getting-started guides, dependency role tables, common task commands, and a prioritized list of key files to read first. - Use Case: A new engineer joins a team maintaining an Nx monorepo. Instead of manually exploring dozens of packages, they request comprehensive documentation and receive an architecture diagram, directory breakdowns, CI/CD explanation, and setup steps in one markdown file. ## Quick Start Ask the assistant to explain this codebase and generate comprehensive architecture documentation for the current project.

Frequently Asked Questions about codebase-explainer

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

FAQPage Schema
How do I generate documentation for an unfamiliar codebase?▼

Request a codebase explanation and specify the target directory, detail level, and focus area. The analysis maps the directory tree, reads configuration files like package.json and tsconfig.json, detects the tech stack, and writes structured markdown documentation to your workspace.

How to create onboarding documentation for new developers?▼

Run a comprehensive codebase analysis to produce a getting-started guide with setup steps, a prioritized table of key files to read first, common task commands, and dependency explanations. This gives new developers a structured path into the project.

What detail levels are available for codebase analysis?▼

Three levels are available: Quick produces a summary, structure table, and quick start commands; Standard covers all sections with moderate detail; Comprehensive adds ASCII architecture diagrams, dependency analysis, and examples for deep dives.

Can codebase analysis focus on a specific area like architecture or testing?▼

Yes, you can request a focus on architecture and design decisions, testing strategy and patterns, deployment and CI/CD pipelines, or no focus to cover everything. The documentation sections are then prioritized around that area.

Does codebase documentation work for large monorepos?▼

Yes, for large codebases the comprehensive mode enters a planning phase first, listing major directories and components and confirming priorities before deep analysis. This keeps the output focused rather than exhaustively documenting every package.

What are the limitations of automated codebase documentation?▼

The analysis is based only on files actually present in the repository, so undocumented design decisions or external systems may be missed. It notes gaps where information is missing rather than inventing details, and very simple projects receive proportionally shorter output.