Agent skill

codebase-analysis

Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization

Stars 232
Forks 15

Install this agent skill to your Project

npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/atman36/codebase-analysis

SKILL.md

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):

    bash
    npm audit --json
    # or
    pnpm audit --json
    
  3. Check for outdated dependencies:

    bash
    npm outdated
    

Output Format

Provide a structured analysis report:

markdown
# 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

Expand your agent's capabilities with these related and highly-rated skills.

aiskillstore/marketplace

perigon-backend

Perigon ASP.NET Core + EF Core + Aspire conventions

232 15
Explore
aiskillstore/marketplace

perigon-agent

Pointers for Copilot/agents to apply Perigon conventions

232 15
Explore
aiskillstore/marketplace

perigon-angular

Angular 21+ standalone/Material/signal conventions for Perigon WebApp

232 15
Explore
aiskillstore/marketplace

fastapi-mastery

Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.

232 15
Explore
aiskillstore/marketplace

context7-efficient

Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.

232 15
Explore
aiskillstore/marketplace

browser-use

Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.

232 15
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results