Where does the skill save its findings?

It generates a comprehensive markdown document in your docs/influence directory and appends prioritized tasks to your improvements.md file.

Can I analyze only specific parts of a codebase?

Yes, you can use the --focus flag, such as /study-repo /path --focus="testing strategy", to narrow the analysis to specific architectural aspects.

How are recommendations prioritized?

Recommendations are categorized as High (marked with a star), Medium, or Low priority based on their quantified value, implementation effort, and architectural fit.

How do I invoke the repository study skill?

First, clone the repository you want to study locally, then run the command /study-repo followed by the path to that repository.

Does this skill require an internet connection?

The skill analyzes local files, so once the repository is cloned to your machine, it performs the analysis offline using the Claude Code environment.

Repository Study

Name: Repository Study
Author: codenamev

bycodenamev

•

Learning & Documentation

Conducts deep architectural analysis of external repositories to identify design patterns and actionable improvement opportunities.

About

Repository Study is a specialized capability for Claude Code designed to systematically deconstruct and analyze external codebases. It automates the process of mapping complex architectures, identifying advanced design patterns, and performing side-by-side comparative analysis with your own project. By generating comprehensive influence documents and prioritized adoption recommendations, it empowers developers to learn from industry best practices and evolve their software based on proven implementation patterns found in the wild.

Key Features

Comparative side-by-side analysis against your current codebase
Systematic six-phase analysis including architecture mapping and pattern recognition
Automated identification of design patterns such as Dependency Injection and Command patterns
Generates prioritized adoption recommendations with effort/value estimates
8 GitHub stars
Focus mode for targeted exploration of specific aspects like testing, MCP, or databases

Use Cases

Learning best practices from high-quality open-source projects for local implementation
Evaluating external libraries to understand their internal data models and design decisions
Benchmarking your project's architecture against competitors or industry leaders

About

Key Features

Comparative side-by-side analysis against your current codebase
Systematic six-phase analysis including architecture mapping and pattern recognition
Automated identification of design patterns such as Dependency Injection and Command patterns
Generates prioritized adoption recommendations with effort/value estimates
8 GitHub stars
Focus mode for targeted exploration of specific aspects like testing, MCP, or databases

Use Cases

Learning best practices from high-quality open-source projects for local implementation
Evaluating external libraries to understand their internal data models and design decisions
Benchmarking your project's architecture against competitors or industry leaders