# PRD Prompt for AI Coding Agents

> Prompt for generating granular, agent-ready product requirements documents in Markdown

A structured prompt designed to turn an app concept into an actionable, highly detailed Product Requirements Document formatted in Markdown. It specifies a modern tech stack (Next.js, Drizzle, Supabase, Shadcn) and forces the AI to output granular 10-to-15-minute implementation subtasks for coding agents like Cursor or v0.

## The prompt

\*\*Task:\*\* Create a comprehensive Product Requirements Document (PRD) using the guidelines below. This document should be designed for guiding AI coding agents and formatted in \*\*Markdown syntax\*\*.

\#\#\# Context and Requirements

\*\*Tech Stack:\*\*

- \*\*TypeScript\*\*, \*\*Next.js 15\*\*, \*\*Drizzle ORM\*\* with \*\*Supabase\*\*, \*\*React Query\*\*.

- \*\*UI Design\*\*: \*\*ShadCN UI\*\*, \*\*Tailwind CSS\*\*, \*\*Lucide Icon\*\*.

- \*\*Additional Tools\*\*: Use \*\*Next.js server actions\*\* for database interactions. If AI features are required, leverage \*\*OpenAI's API\*\* and \*\*Vercel AI SDK\*\*.

\#\#\# Structure of the PRD

1. \*\*Features\*\*:

- Begin by categorizing features into:

- \*\*Key Features\*\*: Absolutely essential for the MVP.

- \*\*Nice-to-Have Features\*\*: Enhancements that improve usability but are not critical.

- Example:

- Key Feature: Chat functionality.

- Nice-to-Have: Search past chat history.

2. \*\*Routes and UI Components\*\*:

- Brainstorm all required routes.

- For each route, include:

- \*\*Core Purpose\*\*: The primary function of the route.

- \*\*Key UI Components/Inputs\*\*: List components and their purposes.

- Example:

- /dashboard

- \*\*Core Purpose\*\*: Display user metrics for admins.

- \*\*Components\*\*: Metric cards, graph for interactions over time.

3. \*\*Third-Party Tools\*\*:

- Identify \*\*APIs or libraries\*\* needed for non-native features.

- Clearly describe their \*\*purpose\*\* and \*\*integration strategy\*\*.

4. \*\*Database Schema\*\*:

- Provide an \*\*initial schema\*\* for database tables, considering the tech stack's requirements.

5. \*\*State Management\*\*:

- Outline key \*\*TypeScript types\*\* or \*\*interfaces\*\* for objects and props.

6. \*\*Component Architecture\*\*:

- Map out components with clear \*\*inputs, outputs, and data sources\*\*.

- Example:

- prompt-input:

- \*\*Purpose\*\*: Handle shortcuts fetched from the database and control user input.

- \*\*Integration\*\*: Used in multimodal input components.

7. \*\*Implementation Plan\*\*:

- CRITICAL REQUIREMENTS FOR IMPLEMENTATION PLAN:

- FOCUS EXCLUSIVELY ON MUST-HAVE FEATURES FOR THE MVP

- Create THE MOST DETAILED, GRANULAR implementation plan possible

- Each task must have 5+ HIGHLY SPECIFIC sub-steps

- Include EXACT technical implementation details

- Break down EVERY single step into actionable 10-15 minute tasks

- Write as if instructing a junior developer who needs EXPLICIT, STEP-BY-STEP guidance

- Break the implementation into \*\*tasks\*\* and \*\*steps\*\*:

- Label tasks numerically (e.g., \#\#\# 1. Create Dashboard).

- Break down steps under each task with EXTREMELY GRANULAR subdivisions

- Make steps as specific as possible. FOR EXAMPLE:

- INSTEAD OF: "create a route and page"

- DO: "create a Next.js route in \`app/upload/page.tsx\` that includes a file input component using ShadCN UI. Add client-side validation to check for CSV file type and maximum file size of 10MB. Implement drag-and-drop functionality with clear error messaging for invalid files."

- Prioritize tasks to minimize time to interaction (e.g., use placeholders or dummy data initially).

8. \*\*Documentation Section\*\*:

- Leave a section for adding details on any relevant APIs, libraries, or tools used, that are not already part of our tech stack.

\#\#\# Additional Guidelines

- \*\*Ask Clarifying Questions\*\*: Begin by addressing any uncertainties or gaps in the provided information.

- \*\*Expand Features or Topics\*\*: Feel free to suggest additional features or improvements, but \*\*do not omit any provided requirements\*\*.

- \*\*Precise Technical Details\*\*: Ensure all technical descriptions are thorough and actionable.

\#\#\# IMPLEMENTATION PLAN CRITICAL INSTRUCTIONS

- GRANULARITY IS THE ABSOLUTE KEY

- Every single task must be broken into the smallest possible actionable steps

- Describe EXACTLY how each step will be implemented

- NO BROAD OR VAGUE DESCRIPTIONS ALLOWED

## What it is for

- Generate a structured MVP spec before starting a build in Cursor or Windsurf
- Define routes, UI component hierarchies, and database schemas for v0 or Bolt.new
- Break down full-stack development tasks into granular sub-steps for AI coding agents

## Key points

- Preconfigured modern web stack focusing on Next.js 15, Drizzle ORM, Supabase, and Shadcn UI
- Feature prioritization splitting requirements into core MVP vs nice-to-have items
- Detailed route mapping paired with core component and input breakdowns
- Initial database schema and TypeScript interface planning
- Component architecture mapping with inputs, outputs, and data sources
- Enforced ultra-granular implementation plan with 5+ explicit sub-steps per task

## Pricing

Free

## Details

- Type: Prompt
- Category: [AI](https://xiry.app/topics/ai.md)
- Topic: [AI Prompts](https://xiry.app/topics/ai/ai-prompts.md)
- Open source: no
- Platforms: Web
- For: Developers and technical founders building apps with AI coding assistants
- Tags: prompt, cursor, prd, ai coding, nextjs, spec

## Why it was saved

- [@kai_rypto25, 1 December 2024](https://x.com/kai_rypto25/status/1863280298596929757): Reusable prompt for turning an app idea into a granular, agent-ready spec for tools like V0 or Cursor.

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Updated 11 October 2026. Page: https://xiry.app/resources/prd-prompt-for-ai-coding-agents

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