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ralph-tui-prd

Generate structured PRDs with user stories and acceptance criteria.

Updated Aug 23, 2026
Search Tags:#requirements#ai-agent#prd#quality-gates#user-stories#prds#ralph-tui
One-click install
npx skills add https://github.com/ashleytower/claude-code-workflow --skill ralph-tui-prd-ashleytower
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ralph-tui-prd
Source: https://github.com/ashleytower/claude-code-workflow/tree/main/skills/ralph-tui-prd
Command: npx skills add https://github.com/ashleytower/claude-code-workflow --skill ralph-tui-prd-ashleytower

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of comprehensive Product Requirements Documents (PRDs) for AI-driven task orchestration, reducing planning time and improving clarity for cross-functional teams.

Core Features & Use Cases

  • Generate PRDs with structured user stories suitable for beads/issues or prd.json.
  • Interactive clarifying questions to gather context and ensure quality gates are defined.
  • Output PRDs wrapped in [PRD]...[/PRD] markers for downstream tooling.

Quick Start

Provide a feature description and answer clarifying questions to generate a PRD.

Frequently Asked Questions about ralph-tui-prd

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

FAQPage Schema
How do I generate a Product Requirements Document for AI task orchestration?▼

To generate a Product Requirements Document for AI task orchestration, provide a feature description and answer interactive clarifying questions to produce structured user stories and acceptance criteria outputted in [PRD]...[/PRD] format.

What is the best way to structure user stories for an AI agent execution workflow?▼

The best way to structure user stories for an AI agent workflow is to enforce iterative clarifying questions and quality gates, ensuring the PRD contains clear acceptance criteria wrapped in standard markers for downstream tooling.

How does iterative requirement gathering improve PRD quality for feature scoping?▼

Iterative requirement gathering improves PRD quality by enforcing clarifying questions and quality gates during feature scoping, ensuring cross-functional teams capture clear user stories and acceptance criteria for AI-driven execution.

Do I need to provide a specific file format when creating a PRD for AI-driven task orchestration?▼

You do not need a specific input file format to create a PRD for AI-driven task orchestration; simply provide a feature description to initiate the interactive requirement gathering process for generating the document.

Can I use the generated PRD output directly with downstream AI agent tools?▼

Yes, you can use the generated PRD output with downstream AI agent tools because it is wrapped in [PRD]...[/PRD] markers, making it suitable for execution environments utilizing beads, issues, or prd.json structures.

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