How long does it take to analyze a repository?

Analysis time depends on depth: a 'quick' analysis takes 1-2 hours, while a 'comprehensive' deep-dive for large repositories can take 5-8 hours.

Why use a local wiki instead of just searching the code directly?

A local wiki provides a high-level architectural overview and traced data flows that standard grep or file searches often miss, saving hours of repeated exploration for complex questions.

Can the wiki be updated as the codebase evolves?

Yes, the skill includes an Update Mode that checks the current commit SHA against the analyzed version to perform partial or full re-analysis as needed.

What tools are used to generate the documentation?

The skill utilizes a combination of Bash scripts, LSP for type information, AST-grep for pattern discovery, and Grep for deep text searching across the repository.

Deep Codebase Wiki

Name: Deep Codebase Wiki
Author: watzon

bywatzon

•

学习与文档

Generates and manages comprehensive local documentation wikis for GitHub repositories to accelerate codebase understanding.

关于

Deep Codebase Wiki is a specialized research skill for Claude that prioritizes persistent local documentation over repeated external searches. It systematically analyzes GitHub repositories to create structured wikis covering system architecture, component relationships, and data flows. By performing multi-level analysis—including entry point identification, design pattern mapping, and user journey tracing—it transforms complex codebases into searchable, high-level guides that save hours of exploration time for developers and AI agents alike.

主要功能

Deep-dive tracing of specific user journeys and data transformation pipelines
Local-first documentation storage for instant retrieval and offline reference
1 GitHub stars
Staleness detection and incremental update modes for evolving codebases
Proactive check protocol that identifies existing wikis before initiating new research
Automated multi-level repository analysis covering architecture, components, and logic flows

使用场景

Creating persistent, searchable technical documentation for internal team projects
Rapidly onboarding to large open-source repositories by generating architectural overviews
Debugging complex external dependencies by analyzing their internal implementation details

关于

主要功能

Deep-dive tracing of specific user journeys and data transformation pipelines
Local-first documentation storage for instant retrieval and offline reference
1 GitHub stars
Staleness detection and incremental update modes for evolving codebases
Proactive check protocol that identifies existing wikis before initiating new research
Automated multi-level repository analysis covering architecture, components, and logic flows

使用场景

Creating persistent, searchable technical documentation for internal team projects
Rapidly onboarding to large open-source repositories by generating architectural overviews
Debugging complex external dependencies by analyzing their internal implementation details