analyzing-projects

Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"

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Install skill "analyzing-projects" with this command: npx skills add cloudai-x/claude-workflow-v2/cloudai-x-claude-workflow-v2-analyzing-projects

Analyzing Projects

When to Load

  • Trigger: Onboarding to a new project, "how does this work" questions, codebase exploration, understanding unfamiliar code
  • Skip: Already familiar with the project structure and patterns

Project Analysis Workflow

Copy this checklist and track progress:

Project Analysis Progress:
- [ ] Step 1: Quick overview (README, root files)
- [ ] Step 2: Detect tech stack
- [ ] Step 3: Map project structure
- [ ] Step 4: Identify key patterns
- [ ] Step 5: Find development workflow
- [ ] Step 6: Generate summary report

Step 1: Quick Overview

# Check for common project markers
ls -la
cat README.md 2>/dev/null | head -50

Step 2: Tech Stack Detection

Package Managers & Dependencies

  • package.json → Node.js/JavaScript/TypeScript
  • requirements.txt / pyproject.toml / setup.py → Python
  • go.mod → Go
  • Cargo.toml → Rust
  • pom.xml / build.gradle → Java
  • Gemfile → Ruby

Frameworks (from dependencies)

  • React, Vue, Angular, Next.js, Nuxt
  • Express, FastAPI, Django, Flask, Rails
  • Spring Boot, Gin, Echo

Infrastructure

  • Dockerfile, docker-compose.yml → Containerized
  • kubernetes/, k8s/ → Kubernetes
  • terraform/, .tf files → IaC
  • serverless.yml → Serverless Framework
  • .github/workflows/ → GitHub Actions

Step 3: Project Structure Analysis

Present as a tree with annotations:

project/
├── src/              # Source code
│   ├── components/   # UI components (React/Vue)
│   ├── services/     # Business logic
│   ├── models/       # Data models
│   └── utils/        # Shared utilities
├── tests/            # Test files
├── docs/             # Documentation
└── config/           # Configuration

Step 4: Key Patterns Identification

Look for and report:

  • Architecture: Monolith, Microservices, Serverless, Monorepo
  • API Style: REST, GraphQL, gRPC, tRPC
  • State Management: Redux, Zustand, MobX, Context
  • Database: SQL, NoSQL, ORM used
  • Authentication: JWT, OAuth, Sessions
  • Testing: Jest, Pytest, Go test, etc.

Step 5: Development Workflow

Check for:

  • .eslintrc, .prettierrc → Linting/Formatting
  • .husky/ → Git hooks
  • Makefile → Build commands
  • scripts/ in package.json → NPM scripts

Step 6: Output Format

Generate a summary using this template:

# Project: [Name]

## Overview

[1-2 sentence description]

## Tech Stack

| Category  | Technology |
| --------- | ---------- |
| Language  | TypeScript |
| Framework | Next.js 14 |
| Database  | PostgreSQL |
| ...       | ...        |

## Architecture

[Description with simple ASCII diagram if helpful]

## Key Directories

- `src/` - [purpose]
- `lib/` - [purpose]

## Entry Points

- Main: `src/index.ts`
- API: `src/api/`
- Tests: `npm test`

## Conventions

- [Naming conventions]
- [File organization patterns]
- [Code style preferences]

## Quick Commands

| Action  | Command         |
| ------- | --------------- |
| Install | `npm install`   |
| Dev     | `npm run dev`   |
| Test    | `npm test`      |
| Build   | `npm run build` |

Analysis Validation

After completing analysis, verify:

Analysis Validation:
- [ ] All major directories explained
- [ ] Tech stack accurately identified
- [ ] Entry points documented
- [ ] Development commands verified working
- [ ] No assumptions made without evidence

If any items cannot be verified, note them as "needs clarification" in the report.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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analyzing-projects | V50.AI