ai-devkit

🥈Silver

AI DevKit is a CLI toolkit for AI-assisted software development. It provides structured phase templates and environment setup for Cursor and Claude Code. It benefits developers and engineering teams by standardizing AI interactions with codebases, managing context, and executing development workflows.

1,080770Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/codeaholicguy/ai-devkit.git

Works with:

Claude

Overview

About This Skill

./packages/cli/README.md

How to Use

["Install the AI DevKit CLI globally: `npm install -g @ai-devkit/cli`","Navigate to your project directory and run: `ai-devkit init`","Select the appropriate phase template when prompted (e.g., 'web-app', 'api-service', 'data-pipeline')","Execute the generated commands to set up your environment (e.g., `npm install`, `docker-compose up`)","Use `ai-devkit phase:next` to advance through development phases (setup → development → testing → deployment)"]

Use Cases

Automate the setup of development environments for AI-assisted projects.

Generate structured documentation for project requirements and design phases.

Manage project state and transition through development phases seamlessly.

Integrate persistent memory for AI agents to retain architectural decisions.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/codeaholicguy/ai-devkit

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the AI DevKit CLI toolkit to scaffold a new [PROJECT_TYPE] project in [PROJECT_NAME]. Follow the standard phase template for [LANGUAGE_FRAMEWORK]. Include unit tests, CI/CD configuration, and documentation scaffolding. Set up the environment for [IDE_TOOL] integration and provide a README.md with next steps for the development team.

Example Output

```
✅ Project scaffolded successfully for 'ecommerce-backend' (Node.js/Express)

📁 Directory structure created:
├── src/
│   ├── controllers/
│   ├── models/
│   ├── routes/
│   ├── services/
│   └── utils/
├── tests/
│   ├── integration/
│   └── unit/
├── .github/workflows/
│   └── ci.yml
├── docs/
│   ├── architecture.md
│   └── api-spec.yaml
├── package.json
├── README.md
└── .env.example

🔧 Environment configured:
- Node.js v20.12.2 detected
- Cursor IDE integration files added
- Pre-commit hooks (linting + tests) installed
- VSCode recommended extensions listed in .vscode/

📝 Next steps for the team:
1. Run `npm install` to install dependencies
2. Configure database connection in .env
3. Implement Product model in src/models/product.js
4. Add API endpoints in src/routes/products.js
5. Run `npm run test:unit` to verify scaffolding

💡 Pro tip: Use `ai-devkit phase:next` to progress through development phases systematically.
```