analyze-codebase

Parallel analyze a codebase with subagents to generate overview.md for init-spec.

6|2|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/i-standard1/yamasaki --skill analyze-codebase-i-standard1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-codebase
Source: https://github.com/i-standard1/yamasaki/tree/main/.claude/skills/analyze-codebase
Command: npx skills add https://github.com/i-standard1/yamasaki --skill analyze-codebase-i-standard1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing large codebases to produce a high-quality overview.md before init-spec, enabling better planning and faster downstream work.

Core Features & Use Cases

  • Parallel codebase scanning with subagents to map structure, modules, endpoints, and dependencies.
  • Generates a consolidated overview.md and prepares domain-level context for design documentation.
  • Use Case: When starting a new multi-domain project, run analyze-codebase to generate an actionable overview and save time on upfront analysis.

Quick Start

Run analyze-codebase on your project to generate an overview.md and prep for init-spec.

Frequently Asked Questions about analyze-codebase

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

FAQPage Schema
How do I generate documentation overview for a large codebase before spec planning?

To generate a documentation overview for a large codebase, you can run a parallel subagent analysis that maps functions, endpoints, and data models, outputting a consolidated overview.md file to guide downstream design planning.

What is the best way to map endpoints and dependencies across many files in parallel?

Mapping endpoints and dependencies across many files in parallel is achieved by deploying subagents that scan the codebase simultaneously, consolidating the structural findings into a unified overview document.

How does parallel codebase analysis work to prepare context for init-spec?

Parallel codebase analysis works by dispatching multiple subagents to scan different project domains concurrently, generating per-domain reports and an integrated overview.md that serves as context for init-spec.

Can I use subagent codebase analysis for multi-domain projects with many files?

Yes, subagent codebase analysis is specifically designed for multi-domain projects with many files, mapping modules and dependencies in parallel to prepare domain-level context for design documentation.

What is included in the overview.md generated by analyzing a codebase?

The overview.md generated by analyzing a codebase includes mapped functions, endpoints, data models, and dependencies, providing per-domain reports and an integrated structural overview to guide downstream work.

When do I need to run a parallel codebase analysis before starting design documentation?

You need to run a parallel codebase analysis before starting design documentation when you are tackling a large new project and require a high-quality overview.md to save time on upfront analysis and enable faster downstream work.