prd

Generate structured PRDs for AI-coding agent workflows.

3|Updated Nov 30, 2025
One-click install
npx skills add https://github.com/alpoxdev/claude-code --skill prd-alpoxdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd
Source: https://github.com/alpoxdev/claude-code/tree/main/.claude/skills/prd
Command: npx skills add https://github.com/alpoxdev/claude-code --skill prd-alpoxdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the generation of a structured PRD tailored for AI-coding agent workflows, reducing ambiguity and accelerating alignment across product, design, and engineering teams.

Core Features & Use Cases

  • Structured PRD framework including metadata, vision, problem, scope, targets, user personas, journeys, requirements, UX, data needs, risks, release strategy, and implementation phases.
  • Non-goal and acceptance criteria enforcement, plus phase-based planning compatible with GitHub Spec Kit and common PRD frameworks.
  • Use Case: A product team needs a PRD for an AI code assistant feature; the Skill outputs a ready-to-review document with milestones, KPIs, and testing checkpoints.

Quick Start

Provide a product idea and target audience, then run the PRD generator to produce a ready-to-review PRD draft.

Frequently Asked Questions about prd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a PRD for an AI coding agent workflow?

To generate a PRD for an AI coding agent workflow, provide your product idea and target audience to an automated PRD generator. The system outputs a structured document with metadata, milestones, acceptance criteria, and phase-based planning tailored for AI-driven software projects.

What is spec-driven development for AI software projects?

Spec-driven development for AI software projects uses structured PRDs to enforce non-goals, track risks, and define acceptance criteria. This approach reduces ambiguity and accelerates alignment across product, design, and engineering teams by ensuring tightly scoped releases.

Does this PRD framework support phase-based planning and non-goals?

Yes, this PRD framework fully supports phase-based planning, non-goal enforcement, and risk tracking. It structures requirements into implementation phases with testing checkpoints, ensuring compatibility with common PRD frameworks and GitHub Spec Kit.

How do I define acceptance criteria for AI feature discovery?

Defining acceptance criteria for AI feature discovery involves structuring user personas, journeys, and data needs within a PRD. The automated framework enforces these criteria alongside release strategies and KPIs to produce a ready-to-review document.

Can I use this PRD generator for tightly scoped software releases?

You can use this PRD generator for tightly scoped software releases as it applies to AI-driven projects and feature discovery. It outputs structured sections including vision, scope, targets, and implementation phases to guide development.

What sections are included in an automated AI product requirements document?

An automated AI product requirements document includes metadata, vision, problem statement, scope, targets, user personas, journeys, requirements, UX, data needs, risks, release strategy, and implementation phases to provide comprehensive project guidance.