Agent Native

analyzing-projects

This skill analyzes codebases to understand their structure, technology stack, architectural patterns, and development conventions.

by CloudAI-XCommunityNot reviewed

Community author

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
MIT (permissive)
Pin
3b5a89epinned Oct 9, 2026
Context cost
about 870 tokenswhen the skill loads
GitHub stars
1,418on cloudai-x/claude-workflow-v2
Scripts
None found

What it does

“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?"”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill analyzes codebases to understand their structure, technology stack, architectural patterns, and development conventions. It guides the agent through a systematic exploration process, from reading README files to mapping directories and identifying frameworks, then generates a comprehensive project summary report.

When to use it

  • Onboarding to an unfamiliar codebase or project
  • Answering questions about project architecture or how code works
  • Exploring new repositories to understand organization and patterns
  • Documenting tech stack and entry points for reference

When not to

  • When you already know the project structure well
  • For tasks requiring code modifications or feature implementation
  • When seeking specific bug fixes rather than architectural understanding

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add cloudai-x/claude-workflow-v2 --skill analyzing-projects

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install cloudai-x/claude-workflow-v2 analyzing-projects@3b5a89ec1c106dd387e372aec073f9401336382a

Installs the commit we checked (3b5a89e).

Copy by hand

Download the folder at 3b5a89e and put it in .claude/skills/analyzing-projects for Claude Code and in .agents/skills/analyzing-projects for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 3b5a89e

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "analyzing-projects" by CloudAI-X.

Source, pinned to commit 3b5a89ec1c106dd387e372aec073f9401336382a:
https://github.com/cloudai-x/claude-workflow-v2/tree/3b5a89ec1c106dd387e372aec073f9401336382a/skills/analyzing-projects

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/analyzing-projects/ for Claude Code and .agents/skills/analyzing-projects/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/cloudai-x/analyzing-projects

SKILL.md at the pin

---
name: analyzing-projects
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.

From cloudai-x/claude-workflow-v2 at 3b5a89e, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 3b5a89e

Files

1 file, 3.8 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 3b5a89e
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