Generates full-stack application templates with FastAPI backend and React frontend, including OpenAI ChatGPT integration. Benefits developers by accelerating project setup and reducing boilerplate code.
git clone https://github.com/umairalipathan1980/Claude-Skill-for-Full-Stack-Application-Development.gitGenerates full-stack application templates with FastAPI backend and React frontend, including OpenAI ChatGPT integration. Benefits developers by accelerating project setup and reducing boilerplate code.
1. **Customize Features**: Replace [FEATURES_LIST] in the prompt with your specific requirements (e.g., "user profiles, file uploads, real-time notifications"). 2. **Select Tech Stack**: Specify your preferred tools for [TECH_STACK] (e.g., "TailwindCSS for styling, Zustand for state management"). 3. **Generate Template**: Paste the prompt into an AI tool (e.g., Claude, ChatGPT) and review the generated code. 4. **Test Locally**: Use Docker to run the app (`docker-compose up --build`) and verify all endpoints and UI components work. 5. **Extend Functionality**: Modify the generated code to add custom business logic or integrate additional APIs. **Tips:** - For AI integrations, ensure you have the required API keys (e.g., OpenAI) and update environment variables in `.env`. - Use the generated Dockerfile to deploy the app to cloud platforms like AWS ECS or Render. - For production, add unit tests (e.g., pytest for backend, Jest for frontend) and CI/CD pipelines.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/umairalipathan1980/Claude-Skill-for-Full-Stack-Application-DevelopmentCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a full-stack application template with FastAPI backend and React frontend, including OpenAI ChatGPT integration. Include the following features: [FEATURES_LIST]. Use [TECH_STACK] for styling and state management. Provide a Dockerfile for containerization and a README with setup instructions. Ensure the code is production-ready with basic error handling and logging.
Here’s a production-ready full-stack template for a **Task Management App** with FastAPI backend and React frontend, integrated with OpenAI’s ChatGPT for smart task suggestions. The backend includes RESTful endpoints for CRUD operations on tasks, user authentication via JWT, and a `/suggest-tasks` endpoint that queries OpenAI’s API to generate task recommendations based on user input. The React frontend uses TypeScript, Material-UI for styling, and React Query for state management. Key features include: **Backend (FastAPI):** - `/tasks` (GET/POST/PUT/DELETE) for task management - `/auth/login` and `/auth/register` for JWT-based authentication - `/suggest-tasks` endpoint that sends a prompt to OpenAI’s API (e.g., "Generate 3 task suggestions for a user working on a project deadline") - Dockerized with a PostgreSQL database and Redis for caching - Logging with structlog and error handling for API failures **Frontend (React):** - Responsive UI with Material-UI components (DataGrid for tasks, Dialog for task creation) - React Query for data fetching and caching - OpenAI integration via a custom hook (`useOpenAI`) that calls the backend’s `/suggest-tasks` endpoint - Dark/light mode toggle and JWT-based authentication flow **Setup Instructions:** 1. Clone the repo and run `docker-compose up --build` to spin up the backend, frontend, and database. 2. Access the frontend at `http://localhost:3000` and the backend Swagger docs at `http://localhost:8000/docs`. 3. Register a user, log in, and start adding tasks. The AI will suggest tasks based on your input. **Sample Output:** When a user adds a task titled "Prepare project proposal," the AI suggests: - "Draft the executive summary" - "Create a timeline for deliverables" - "Design the slide deck outline" This template reduces setup time from hours to minutes and includes all boilerplate code for authentication, database interactions, and AI integration.
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