codebase-analysis

name	codebase-analysis
description	Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization
version	1.0.0
author	AI-Vibe-Prompts
tags	["analysis","code-quality","architecture","dependencies"]
auto_invoke	true

Codebase Analysis Skill

Objective

Perform comprehensive, systematic analysis of project codebases to understand:

• Project structure and organization
• Technology stack and dependencies
• Architectural patterns and conventions
• Code complexity and quality metrics
• Key components and their relationships

When to Use This Skill

Auto-invoke when:

• Starting work on a new project
• User asks to "analyze", "review", "audit", or "understand" the codebase
• Before making architectural decisions
• Planning refactoring or major changes
• Onboarding new developers

Analysis Methodology

Phase 1: Discovery (Project Structure)

Goal: Map the high-level project organization

Tools: Glob, LS, Read

Process:

1. Identify project type by reading package.json, tsconfig.json, or framework-specific configs
2. Map directory structure using LS at root level:

   Key directories to identify:
   - Source code: src/, app/, pages/, components/
   - Tests: __tests__/, tests/, *.test.*, *.spec.*
   - Config: config/, .config/
   - Documentation: docs/, README.md
   - Build output: dist/, build/, .next/
   

3. Scan for important files:
   • Build configs: vite.config.*, webpack.config.*, next.config.*
   • TypeScript: tsconfig.json, tsconfig.*.json
   • Package management: package.json, package-lock.json, yarn.lock, pnpm-lock.yaml
   • Environment: .env*, .env.example
   • Git: .gitignore, .git/

Phase 2: Technology Stack Analysis

Goal: Identify frameworks, libraries, and versions

Tools: Read, Grep

Process:

1. Read package.json:

   • Extract dependencies (runtime libraries)
   • Extract devDependencies (development tools)
   • Note scripts (available commands)
   • Check engines (Node.js version requirements)

2. Identify framework:

   • Next.js: Check for next in dependencies, next.config.*, app/ or pages/ directory
   • React: Check for react and react-dom
   • Vue: Check for vue, *.vue files
   • Svelte: Check for svelte, *.svelte files
   • Angular: Check for @angular/core, angular.json

3. Identify key libraries:

   • State management: Redux, Zustand, MobX, Pinia
   • Routing: react-router, vue-router, next/navigation
   • UI libraries: MUI, Ant Design, shadcn/ui, Chakra UI
   • Styling: Tailwind CSS, styled-components, emotion, CSS modules
   • Testing: Vitest, Jest, Playwright, Cypress
   • Build tools: Vite, Webpack, esbuild, Turbopack

Phase 3: Architecture Pattern Analysis

Goal: Understand code organization and patterns

Tools: Grep, Glob, Read

Process:

1. Component patterns (for React/Vue/Svelte):

   Use Glob to find: **/*.{jsx,tsx,vue,svelte}
   Analyze:
   - Component naming conventions
   - File structure (co-located styles, tests)
   - Component size (lines of code)
   

2. API/Backend patterns:

   Use Grep to search for:
   - API routes: "export.*GET|POST|PUT|DELETE"
   - Database queries: "prisma\.|mongoose\.|sql"
   - Authentication: "auth|jwt|session"
   

3. State management patterns:

   Use Grep to find:
   - Context API: "createContext|useContext"
   - Redux: "createSlice|useSelector"
   - Zustand: "create.*useStore"
   

4. File organization patterns:

   • Monorepo: Check for packages/, apps/, turbo.json, nx.json
   • Feature-based: Check for directories like features/, modules/
   • Layer-based: Check for components/, services/, utils/, hooks/

Phase 4: Code Quality & Complexity Assessment

Goal: Identify potential issues and technical debt

Tools: Grep, Bash, Read

Process:

1. Linting & Formatting:

   • Check for: .eslintrc*, .prettierrc*, biome.json
   • Run linter if available: npm run lint (via Bash)

2. Testing coverage:

   • Find test files: Use Glob for **/*.{test,spec}.{js,ts,jsx,tsx}
   • Calculate coverage: Run npm run test:coverage if available

3. TypeScript strictness:

   • Read tsconfig.json
   • Check strict: true, strictNullChecks, etc.
   • Look for @ts-ignore or any usage (Grep)

4. Code complexity indicators:

   Use Grep to flag potential issues:
   - Large files: Find files > 500 lines
   - Deep nesting: Search for excessive indentation
   - TODO/FIXME comments: Grep for "TODO|FIXME|HACK"
   - Console logs: Grep for "console\.(log|debug|warn)"
   

Phase 5: Dependency & Security Analysis

Goal: Identify outdated or vulnerable dependencies

Tools: Bash, Read

Process:

1. Check for lock files:

   • Presence of package-lock.json, yarn.lock, pnpm-lock.yaml

2. Run security audit (if npm/pnpm available):

   npm audit --json
   # or
   pnpm audit --json
   

3. Check for outdated dependencies:

   npm outdated
   

Output Format

Provide a structured analysis report:

# Codebase Analysis Report

## Project Overview
- **Name**: [project name from package.json]
- **Type**: [framework/library]
- **Version**: [version]
- **Node.js**: [required version]

## Technology Stack
### Core Framework
- [Framework name & version]

### Key Dependencies
- UI: [library]
- State: [library]
- Routing: [library]
- Styling: [library]
- Testing: [library]

### Build Tools
- [Vite/Webpack/etc]

## Architecture

### Directory Structure

[tree-like representation of key directories]

### Patterns Identified
- [Component patterns]
- [State management approach]
- [API structure]
- [File organization]

## Code Quality Metrics
- **TypeScript**: [strict/loose/none]
- **Linting**: [ESLint/Biome/none]
- **Testing**: [X test files found, coverage: Y%]
- **Code Issues**: [TODOs: X, Console logs: Y]

## Recommendations
1. [Priority recommendation]
2. [Next priority]
3. ...

## Risk Areas
- [Potential issues or technical debt]

## Next Steps
- [Suggested actions based on analysis]

Best Practices

1. Progressive Detail: Start with high-level overview, dive deeper only when needed
2. Context Window Management: For large codebases, analyze in chunks (by directory/feature)
3. Tool Selection:
   • Use Glob for file discovery (faster than find)
   • Use Grep for pattern search (faster than reading all files)
   • Use Read only for critical files (package.json, configs)
4. Time Efficiency: Complete analysis in < 60 seconds for typical projects
5. Actionable Insights: Always provide specific, actionable recommendations

Integration with Other Skills

This skill works well with:

• quality-gates - Use analysis results to run appropriate quality checks
• project-initialization - Compare against templates to identify missing setup
• refactoring-safe - Identify refactoring opportunities
• Framework-specific skills (nextjs-optimization, react-patterns) - Auto-invoke based on detected framework

Error Handling

If analysis cannot complete:

1. Missing dependencies: Suggest running npm install
2. Corrupted files: Report specific files and continue with partial analysis
3. Large codebase: Switch to targeted analysis mode (specific directories only)
4. Permission issues: Request necessary file access permissions

Version History

• 1.0.0 (2025-01-03): Initial skill creation with progressive disclosure support