Marketplace 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.

install
source · Clone the upstream repo
git clone https://github.com/aiskillstore/marketplace
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/consiliency/codebase-analysis" ~/.claude/skills/aiskillstore-marketplace-codebase-analysis-c0dce8 && rm -rf "$T"
manifest: skills/consiliency/codebase-analysis/SKILL.md
source content

Codebase Analysis Skill

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

Variables

VariableDefaultDescription
ANALYSIS_DEPTHstandard
quick
(5min),
standard
(30min),
deep
(1hr+)
OUTPUT_FORMATmarkdown
markdown
,
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.js
package.json
main/bin,
index.js
,
server.js
TypeScript
tsconfig.json
,
src/index.ts
Python
__main__.py
,
app.py
,
wsgi.py
Go
main.go
,
cmd/*/main.go
React
src/index.tsx
,
pages/_app.tsx

See

reference/framework-patterns.md
for complete list.

Common Patterns

PatternDirectory Signs
MVC
models/
,
views/
,
controllers/
Layered
presentation/
,
business/
,
data/
Hexagonal
domain/
,
ports/
,
adapters/
Microservices
services/*/
,
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 | ... |