tree-generator

Generate annotated per-component Markdown project trees from source repositories.

1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/RaNDoM6913/claude-code-superkit --skill tree-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tree-generator
Source: https://github.com/RaNDoM6913/claude-code-superkit/tree/main/packages/codex/skills/tree-generator
Command: npx skills add https://github.com/RaNDoM6913/claude-code-superkit --skill tree-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve?

Generates annotated, easy-to-navigate project trees from codebases to simplify documentation.

## Core Features & Use Cases

  • Detects repository structure using common markers (go.mod, package.json, Cargo.toml, pyproject.toml) and outputs organized trees.
  • Produces per-component.md trees for monorepos and multi-language projects.

### Quick Start

Run the tree-generator on your repository to generate component-level Markdown trees for documentation.

Frequently Asked Questions about tree-generator

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

FAQPage Schema
How do I auto-generate a project tree for documentation?

You can auto-generate a project tree by running a tool that scans source repositories and outputs annotated Markdown trees. It detects root markers like package.json or go.mod to map the structure and produce component-level documentation.

Can I generate Markdown trees for a multi-language monorepo?

Yes, you can generate Markdown trees for a multi-language monorepo. The generation process detects common root markers across different languages and produces organized, per-component tree documentation with minimal noise.

Do I need the tree command installed to generate project structures?

You need the tree command installed to generate project structures, but an equivalent find-based fallback is supported if it is missing. The generator uses either method to scan directories and output annotated trees.

What is the best way to document repository structure for multiple components?

The best way to document repository structure for multiple components is to generate per-component Markdown trees. This approach uses root markers like Cargo.toml or pyproject.toml to identify boundaries and outputs clean, annotated hierarchical docs.

Does tree generation work with Python and Rust projects?

Yes, tree generation works with Python and Rust projects. The processor specifically detects pyproject.toml and Cargo.toml files as root markers to accurately identify project boundaries and generate appropriate annotated structures.

Why does my generated project tree include unnecessary noise?

Generated project trees might include unnecessary noise if root markers like go.mod or package.json are not properly detected. The generator is designed to apply minimal noise filtering, ensuring clean, organized Markdown output for documentation.