How does it find specific code patterns?

It uses systematic grep searches and directory traversal to identify common implementation styles, naming conventions, and file organization patterns across the source code.

What is the Repo Research Analyst skill?

It is a specialized capability for Claude Code that automates the discovery of project patterns, structures, and guidelines within a repository to help developers understand new codebases faster.

What is a 'Research Handoff'?

A standardized Markdown file generated by the skill that summarizes architecture, conventions, stack details, and key insights to be used by developers or other AI agents.

Which documentation files does it prioritize during analysis?

It scans and analyzes key files including README.md, CONTRIBUTING.md, ARCHITECTURE.md, and project-specific instructions like CLAUDE.md.

Can it identify the project's technology stack?

Yes, it automatically detects languages and frameworks by analyzing configuration files such as package.json, pyproject.toml, Cargo.toml, and go.mod.

Repo Research Analyst

Name: Repo Research Analyst
Author: SiTaggart

bySiTaggart

Learning & Documentation

Analyzes repository structures, architectural patterns, and project conventions to accelerate codebase onboarding and understanding.

About

The Repo Research Analyst is a specialized skill for Claude Code designed to systematically dismantle the complexity of unfamiliar codebases. It performs a deep-dive investigation into project architecture, technology stacks, and internal guidelines by scanning core documentation like ARCHITECTURE.md and CLAUDE.md. By identifying coding patterns, naming conventions, and GitHub issue structures, it generates a comprehensive 'Research Handoff' document. This skill is essential for developers and AI agents who need to quickly gain high-level context and technical alignment before making their first contribution to a new project.

Key Features

0 GitHub stars
Automated discovery of project architecture and organizational structures
Standardized Markdown handoff generation for seamless project onboarding
Deep-file analysis of README, CONTRIBUTING, and CLAUDE.md guidelines
Technology stack detection across Node.js, Python, Rust, Go, and Ruby
Pattern recognition for naming conventions and implementation styles

Use Cases

Extracting contribution guidelines and templates for automated workflow setup
Auditing existing codebases for consistency with documented standards
Onboarding developers to complex or legacy repositories with minimal friction

About

Key Features

0 GitHub stars
Automated discovery of project architecture and organizational structures
Standardized Markdown handoff generation for seamless project onboarding
Deep-file analysis of README, CONTRIBUTING, and CLAUDE.md guidelines
Technology stack detection across Node.js, Python, Rust, Go, and Ruby
Pattern recognition for naming conventions and implementation styles

Use Cases

Extracting contribution guidelines and templates for automated workflow setup
Auditing existing codebases for consistency with documented standards
Onboarding developers to complex or legacy repositories with minimal friction