analyzing-projects
This skill analyzes codebases to understand their structure, technology stack, architectural patterns, and development conventions.
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?"”
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-projectsInstalls 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@3b5a89ec1c106dd387e372aec073f9401336382aInstalls 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.
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 3b5a89eFiles
- SKILL.md3.8 KB · e548dfccb74f
1 file, 3.8 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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