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Codebase analysis

Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/consiliency/codebase-analysis

Patterns and techniques for analyzing brownfield codebases. Use when onboarding to unfamiliar code, preparing for refactoring, conducting architecture reviews, or identifying technical debt.From its SKILL.md

Install
npx -y skills add ComeOnOliver/skillshub --skill codebase-analysis

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SKILL.md

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Codebase Analysis Skill

Systematically explore and understand existing codebases, including entry point discovery, dependency tracing, pattern detection, and technical debt identification.

Variables

VariableDefaultDescription
ANALYSIS_DEPTHstandardquick (5min), standard (30min), deep (1hr+)
OUTPUT_FORMATmarkdownmarkdown, json, c4
INCLUDE_DEBTtrueInclude technical debt assessment
INCLUDE_DIAGRAMStrueGenerate C4 diagrams

Instructions

MANDATORY - Follow the Workflow steps below in order. Do not skip steps.

  • Start with entry points, not random files
  • Trace dependencies before analyzing patterns
  • Document findings as you go

Red Flags - STOP and Reconsider

If you're about to:

  • Analyze random files without finding entry points first
  • Make architectural claims without tracing dependencies
  • Skip pattern detection before identifying anti-patterns
  • Report technical debt without severity classification

STOP -> Read the appropriate cookbook file -> Follow the workflow -> Then proceed

Workflow

  1. Quick Assessment: Project size, structure, config files
  2. CHECKPOINT: Identify entry points (read cookbook/entry-point-discovery.md)
  3. Trace dependencies from entry points
  4. Detect architectural patterns
  5. CHECKPOINT: Verify pattern detection before anti-pattern search
  6. Identify anti-patterns and technical debt
  7. Document findings with C4 diagrams (if INCLUDE_DIAGRAMS)

Cookbook

Entry Point Discovery

  • IF: Starting analysis of unfamiliar codebase
  • THEN: Read cookbook/entry-point-discovery.md
  • RESULT: List of main entry points by framework

Dependency Tracing

  • IF: Need to understand how modules connect
  • THEN: Read cookbook/dependency-tracing.md
  • RESULT: Import chains, dependency graph

Pattern Detection

  • IF: Need to identify architectural style
  • THEN: Read cookbook/pattern-detection.md
  • RESULT: Identified patterns (MVC, Layered, etc.)

Technical Debt Identification

  • IF: Assessing code quality and debt
  • THEN: Read cookbook/debt-identification.md
  • RESULT: Prioritized debt inventory

Quick Reference

Entry Points by Stack

StackLook For
Node.jspackage.json main/bin, index.js, server.js
TypeScripttsconfig.json, src/index.ts
Python__main__.py, app.py, wsgi.py
Gomain.go, cmd/*/main.go
Reactsrc/index.tsx, pages/_app.tsx

See reference/framework-patterns.md for complete list.

Common Patterns

PatternDirectory Signs
MVCmodels/, views/, controllers/
Layeredpresentation/, business/, data/
Hexagonaldomain/, ports/, adapters/
Microservicesservices/*/, packages/*/

Output

Standard Report Format

# Codebase Analysis: [Project Name]

## Overview
- **Size**: X files, Y lines
- **Primary Language**: TypeScript
- **Framework**: Next.js
- **Architecture**: [Pattern]

## Entry Points
1. `src/pages/_app.tsx` - Application root
2. `src/api/` - API routes

## Key Dependencies
- [External deps list]

## Architecture Diagram
[C4 diagram if INCLUDE_DIAGRAMS]

## Technical Debt (if INCLUDE_DEBT)
| Issue | Severity | Location |
|-------|----------|----------|
| ... | High | ... |

What ships with it

30.7 KB alongside SKILL.md

GitHub clipped this repository’s file list, so this is at least 6 files and may be more.

reference/

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