---
name: analyzing-projects-e548dfccb74f
description: 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?"
---

# 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

```bash
# 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:

```markdown
# 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 attribution: CloudAI-X
Original project: https://github.com/CloudAI-X/claude-workflow-v2
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: CloudAI-X
Original project: https://github.com/CloudAI-X/claude-workflow-v2
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering, Product Management
Roles: Backend Developer, Frontend Developer, Full-Stack Developer, Product Manager, Technical Product Manager
Specialties: Backend, Cross Platform, Frontend
Tools: Docker, Kubernetes
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 85581cdb88f8b9273bb6f6c88c0a803ac2c2b0b2442affd829cd2178daafdc28