TaskSentinel: Command for Claude Code

/generate-ai-frontend-prompt Task

When this command is used, execute the following task:

Create AI Frontend Prompt Task

Purpose

To generate a masterful, comprehensive, and optimized prompt that can be used with any AI-driven frontend development tool (e.g., Vercel v0, Lovable.ai, or similar) to scaffold or generate significant portions of a frontend application.

Inputs

• Completed UI/UX Specification (front-end-spec.md)
• Completed Frontend Architecture Document (front-end-architecture) or a full stack combined architecture such as architecture.md
• Main System Architecture Document (architecture - for API contracts and tech stack to give further context)

Key Activities & Instructions

1. Core Prompting Principles

Before generating the prompt, you must understand these core principles for interacting with a generative AI for code.

• Be Explicit and Detailed: The AI cannot read your mind. Provide as much detail and context as possible. Vague requests lead to generic or incorrect outputs.
• Iterate, Don't Expect Perfection: Generating an entire complex application in one go is rare. The most effective method is to prompt for one component or one section at a time, then build upon the results.
• Provide Context First: Always start by providing the AI with the necessary context, such as the tech stack, existing code snippets, and overall project goals.
• Mobile-First Approach: Frame all UI generation requests with a mobile-first design mindset. Describe the mobile layout first, then provide separate instructions for how it should adapt for tablet and desktop.

2. The Structured Prompting Framework

To ensure the highest quality output, you MUST structure every prompt using the following four-part framework.

1. High-Level Goal: Start with a clear, concise summary of the overall objective. This orients the AI on the primary task.
   • Example: "Create a responsive user registration form with client-side validation and API integration."
2. Detailed, Step-by-Step Instructions: Provide a granular, numbered list of actions the AI should take. Break down complex tasks into smaller, sequential steps. This is the most critical part of the prompt.
   • Example: "1. Create a new file named RegistrationForm.js. 2. Use React hooks for state management. 3. Add styled input fields for 'Name', 'Email', and 'Password'. 4. For the email field, ensure it is a valid email format. 5. On submission, call the API endpoint defined below."
3. Code Examples, Data Structures & Constraints: Include any relevant snippets of existing code, data structures, or API contracts. This gives the AI concrete examples to work with. Crucially, you must also state what not to do.
   • Example: "Use this API endpoint: POST /api/register. The expected JSON payload is { "name": "string", "email": "string", "password": "string" }. Do NOT include a 'confirm password' field. Use Tailwind CSS for all styling."
4. Define a Strict Scope: Explicitly define the boundaries of the task. Tell the AI which files it can modify and, more importantly, which files to leave untouched to prevent unintended changes across the codebase.
   • Example: "You should only create the RegistrationForm.js component and add it to the pages/register.js file. Do NOT alter the Navbar.js component or any other existing page or component."