Ralph Tui Prd

Ralph TUI PRD Generator

Create detailed Product Requirements Documents optimized for AI agent execution via ralph-tui.

The Job

1. Receive a feature description from the user
2. Ask 3-5 essential clarifying questions (with lettered options) - one set at a time
3. Always ask about quality gates (what commands must pass)
4. After each answer, ask follow-up questions if needed (adaptive exploration)
5. Generate a structured PRD when you have enough context
6. Output the PRD wrapped in [PRD]...[/PRD] markers for TUI parsing

Important: Do NOT start implementing. Just create the PRD.

Step 1: Clarifying Questions (Iterative)

Ask questions one set at a time. Each answer should inform your next questions. Focus on:

• Problem/Goal: What problem does this solve?
• Core Functionality: What are the key actions?
• Scope/Boundaries: What should it NOT do?
• Success Criteria: How do we know it's done?
• Integration: How does it fit with existing features?
• Quality Gates: What commands must pass for each story? (REQUIRED)

Format Questions Like This:

1. What is the primary goal of this feature?
   A. Improve user onboarding experience
   B. Increase user retention
   C. Reduce support burden
   D. Other: [please specify]

2. Who is the target user?
   A. New users only
   B. Existing users only
   C. All users
   D. Admin users only

This lets users respond with "1A, 2C" for quick iteration.

If you are Claude Code in an interactive session, you may present these questions with the AskUserQuestion tool instead - same questions and options, still one set at a time. When this skill is driven by ralph-tui create-prd, the agent runs non-interactively and nothing can answer a tool call, so ask in plain text with lettered options as above.

Quality Gates Question (REQUIRED)

Always ask about quality gates - these are project-specific:

What quality commands must pass for each user story?
   A. pnpm typecheck && pnpm lint
   B. npm run typecheck && npm run lint
   C. bun run typecheck && bun run lint
   D. Other: [specify your commands]

For UI stories, should we include browser verification?
   A. Yes, use dev-browser skill to verify visually
   B. No, automated tests are sufficient

Adaptive Questioning

After each response, decide whether to:

• Ask follow-up questions (if answers reveal complexity)
• Ask about a new aspect (if current area is clear)
• Generate the PRD (if you have enough context)

Typically 2-4 rounds of questions are needed.

Step 2: PRD Structure

Generate the PRD with these sections:

1. Introduction/Overview

Brief description of the feature and the problem it solves.

2. Goals

Specific, measurable objectives (bullet list).

3. Quality Gates

CRITICAL: List the commands that must pass for every user story.

## Quality Gates

These commands must pass for every user story:
- `pnpm typecheck` - Type checking
- `pnpm lint` - Linting

For UI stories, also include:
- Verify in browser using dev-browser skill

This section is extracted by conversion tools (ralph-tui-create-json, ralph-tui-create-beads) and appended to each story's acceptance criteria.

4. User Stories

Each story needs:

• Title: Short descriptive name
• Description: "As a [user], I want [feature] so that [benefit]"
• Acceptance Criteria: Verifiable checklist of what "done" means

Each story should be small enough to implement in one focused AI agent session.

Format:

### US-001: [Title]
**Description:** As a [user], I want [feature] so that [benefit].

**Acceptance Criteria:**
- [ ] Specific verifiable criterion
- [ ] Another criterion

Note: Do NOT include quality gate commands in individual story criteria - they are defined once in the Quality Gates section and applied automatically during conversion.

Important:

• Acceptance criteria must be verifiable, not vague
• "Works correctly" is bad
• "Button shows confirmation dialog before deleting" is good
• Each story should be independently completable

5. Functional Requirements

Numbered list of specific functionalities:

• "FR-1: The system must allow users to..."
• "FR-2: When a user clicks X, the system must..."

Be explicit and unambiguous.

6. Non-Goals (Out of Scope)

What this feature will NOT include. Critical for managing scope.

7. Technical Considerations (Optional)

• Known constraints or dependencies
• Integration points with existing systems
• Performance requirements

8. Success Metrics

How will success be measured?

9. Open Questions

Remaining questions or areas needing clarification.

Writing for AI Agents

The PRD will be executed by AI coding agents via ralph-tui. Therefore:

• Be explicit and unambiguous
• User stories should be small (completable in one session)
• Acceptance criteria must be machine-verifiable where possible
• Include specific file paths if you know them
• Reference existing code patterns in the project

Output Format

CRITICAL: Wrap the final PRD in markers for TUI parsing:

[PRD]
# PRD: Feature Name

## Overview
...

## Quality Gates
...

## User Stories
...
[/PRD]

File naming: The TUI will save to ./tasks/prd-[feature-name].md

Example Conversation Flow

User: Create a PRD for adding dark mode to the TUI

Assistant: I'll help you create a PRD for dark mode. Let me ask a few questions:

1. What is the primary goal? A. Reduce eye strain for long sessions B. Match system theme preference C. Provide visual customization D. Other

2. Should the setting persist? A. Yes, save to config file B. No, session only C. Follow system preference

User: 1A, 2A

Assistant: Great! A couple more questions:

3. Which components need dark mode support? A. All TUI components B. Only the main execution view C. Main view + settings D. Other

4. What quality commands must pass for each story? A. pnpm typecheck && pnpm lint B. npm run typecheck && npm run lint C. bun run typecheck D. Other: [specify]

5. For UI stories, include browser verification? A. Yes, use dev-browser skill B. No, automated tests sufficient

User: 3A, 4A, 5A

Assistant: Perfect, I have enough to generate the PRD.

[PRD]