AN

analyzing-projects

Analyzes project structure and tech stacks to provide summary reports. Ideal for developers onboarding to new or complex repositories.

Install

mkdir -p .claude/skills/analyzing-projects && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1689" && unzip -o skill.zip -d .claude/skills/analyzing-projects && rm skill.zip

Installs to .claude/skills/analyzing-projects

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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?
212 chars✓ has a “when” trigger
Beginner

Key capabilities

  • Detects project tech stack from manifests
  • Maps directory structures
  • Identifies architectural patterns
  • Summarizes project workflows

How it works

Systematically crawls file manifests and structure to generate a high-level overview of project organization.

Inputs & outputs

You give it
Project root directory
You get back
Architecture summary and dependency report

When to use analyzing-projects

  • Onboarding to a new codebase
  • Understanding project architecture
  • Identifying tech stack components
  • Mapping project structure

About this skill

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.

When not to use it

  • Known, well-documented projects
  • Single-script files with no dependencies

Limitations

  • Requires read access to project root
  • Summary may drift if project structure changes

How it compares

Provides an architectural summary rather than just a simple file list.

Compared to similar skills

analyzing-projects side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
analyzing-projects (this skill)36moReviewBeginner
cursor-explorer-mcp68moNo flagsIntermediate
octocode-research02moReviewAdvanced
research-engineer26moNo flagsAdvanced

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