code-mapping

Generate hierarchical code maps with anchors and validate links and references.

5|3|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/durandom/skills --skill code-mapping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-mapping
Source: https://github.com/durandom/skills/tree/main/skills/code-mapping
Command: npx skills add https://github.com/durandom/skills --skill code-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

## What problem does it solve? Code-mapping provides hierarchical, cross-referenced documentation that helps AI agents and humans orient to a codebase, reducing search time and context-switch costs during tasks like onboarding, code reviews, and architecture validation.

## Core Features & Use Cases

  • Hierarchical maps up to L3 (source code) with anchors for grep navigation.
  • Validate links, anchors, and code references to ensure map fidelity during evolution.
  • Use for onboarding, knowledge transfer, and engineering tasks requiring quick codebase orientation.

### Quick Start

  • Generate maps from a Python codebase: uv run python $SKILL_PATH/scripts/code_map.py generate <src-dir> <map-dir>
  • Validate an existing map: uv run python $SKILL_PATH/scripts/code_map.py validate <map-dir>
  • Read and navigate the map under docs/map to locate anchors and code references.

Frequently Asked Questions about code-mapping

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

FAQPage Schema
How do I generate navigable codebase maps from source code for architecture reviews?

Generate navigable codebase maps by running the code_map.py script against a source directory to produce hierarchical documentation with anchors for grep navigation. This creates structured maps up to L3 source code, ensuring fast orientation and deterministic module documentation.

What is the best way to validate links and anchors in existing code documentation?

Validate links and anchors in code documentation by running the validate command with code_map.py against your map directory. This checks link validity and code references to ensure map fidelity during codebase evolution and prevents broken navigation paths.

Can I use code mapping for onboarding and knowledge transfer across large repositories?

Code mapping supports onboarding and knowledge transfer across large repositories by producing hierarchical, cross-referenced documentation. It reduces search time and context-switch costs for both AI agents and humans needing quick codebase orientation.

Does code mapping work with Python codebases to produce deterministic module documentation?

Code mapping works with Python codebases by parsing source via the code_map.py script to produce deterministic module documentation. It generates hierarchical maps with anchors that enable grep navigation directly to source code references.

Why do I need hierarchical cross-referenced documentation for my codebase?

Hierarchical cross-referenced documentation reduces search time and context-switch costs during tasks like onboarding, code reviews, and architecture validation. It provides structured orientation with validated anchors and links that evolve with the source code.

What are the limitations of code mapping for domain analysis in large repositories?

Code mapping focuses on producing hierarchical maps up to L3 source code with validated anchors and links. It requires running scripts against source directories and does not generate dynamic runtime analysis or behavioral documentation beyond static code parsing.