Analyzing Projects
SkillAI & modelsAnalyzes 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?"
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Analyzing Projects skill
What this skill tells your AI
The instructions your AI receives, as published by cloudai-x/claude-workflow-v2 in skills/analyzing-projects/SKILL.md and read by ahel’s review.
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/TypeScriptrequirements.txt/pyproject.toml/setup.py→ Pythongo.mod→ GoCargo.toml→ Rustpom.xml/build.gradle→ JavaGemfile→ Ruby
Frameworks (from dependencies)
- React, Vue, Angular, Next.js, Nuxt
- Express, FastAPI, Django, Flask, Rails
- Spring Boot, Gin, Echo
Infrastructure
Dockerfile,docker-compose.yml→ Containerizedkubernetes/,k8s/→ Kubernetesterraform/,.tffiles → IaCserverless.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 hooksMakefile→ Build commandsscripts/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.
Signals
- GitHub stars
- 1k
- Forks
- 187
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
analyzing-projects- Source
- github.com/cloudai-x/claude-workflow-v2