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codebase-analysis

Analyze codebases through a deterministic multi-phase workflow with structured evidence.

Updated Feb 6, 2026
Search Tags:#workflow#architecture#codebase#evidence#exploration#analyze
One-click install
npx skills add https://github.com/marqus0004/LifeIsRoadBlocks --skill codebase-analysis-marqus0004
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-analysis
Source: https://github.com/marqus0004/LifeIsRoadBlocks/tree/main/skills/codebase-analysis
Command: npx skills add https://github.com/marqus0004/LifeIsRoadBlocks --skill codebase-analysis-marqus0004

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps developers rapidly understand a codebase by producing a structured, evidence-based view of its architecture, patterns, and decisions, rather than relying on impressions.

Core Features & Use Cases

  • Structured phased analysis: Exploration, Focus Selection, Investigation Planning, Deep Analysis, Verification, and Synthesis guide comprehensive reviews.
  • Evidence-backed results: Outputs include file:line references and quoted code to justify findings.
  • Deterministic workflow: The orchestrated Python scripts ensure repeatable exploration across repositories.

Quick Start

Run the analyze workflow against a target repository to generate a foundational understanding.

Frequently Asked Questions about codebase-analysis

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

FAQPage Schema
How do I analyze a codebase to understand its architecture and patterns?▼

To analyze a codebase, run a deterministic multi-phase workflow that orchestrates exploration, focus selection, investigation planning, and deep analysis. This process produces structured, evidence-backed findings detailing the repository's architecture and patterns.

How do I automate codebase exploration for developer onboarding?▼

Automating codebase exploration for onboarding involves executing orchestrated scripts that coordinate a phased workflow. This generates a foundational understanding of the codebase, providing structured evidence like file and line references instead of subjective impressions.

Can I get evidence-backed file references when reviewing codebase architecture?▼

Yes, codebase architecture reviews can output evidence-backed file references. The analysis workflow justifies its findings by collecting structured evidence, including specific file:line references and quoted code from the repository.

Does this codebase analysis workflow work for ongoing maintenance across diverse repositories?▼

Yes, this codebase analysis workflow works for ongoing maintenance across diverse repositories. It applies a deterministic, repeatable exploration process to guide comprehensive reviews and synthesize structural understanding for continuous maintenance tasks.

What is the best way to structure a codebase review without relying on manual impressions?▼

The best way to structure a codebase review without manual impressions is using a deterministic workflow that coordinates exploration and verification. This automated approach uncovers structural patterns through collected evidence rather than subjective human analysis.

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