Prd

PRD Generator

Create detailed Product Requirements Documents that are clear, actionable, and suitable for implementation. After PRD is confirmed, use /to-issues to decompose it into Issues, and optionally /prd-to-spec for technical design before that.

The Job

1. Receive a feature description from the user
2. Ask clarifying questions to cover key ambiguities — scale the count to complexity, not a fixed number (see Step 1)
3. Generate a structured PRD based on answers
4. Present PRD to user for review — ask "Please review the PRD. Let me know if any adjustments are needed, or reply OK to confirm."
5. Apply any adjustments, then save to tasks/prd-[feature-name].md
6. Suggest next steps (see Step 3)

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

Step 1: Clarifying Questions

Ask only critical questions where the initial prompt is ambiguous. Scale the number of questions to the feature's complexity — the goal is covering key ambiguities, not hitting a fixed count:

• Simple, well-scoped feature: 2-3 questions
• Typical feature: 3-5 questions
• Complex feature (multiple user roles, cross-system integration, significant ambiguity): 6-8 questions

If a dimension is already unambiguous from the user's input, skip it — don't ask filler questions just to reach a number. 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?

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

3. What is the scope?
   A. Minimal viable version
   B. Full-featured implementation
   C. Just the backend/API
   D. Just the UI

This lets users respond with "1A, 2C, 3B" for quick iteration. Remember to indent the options.

Edge Cases & Fallback

Step 2: PRD Structure

Generate the PRD with these sections:

1. Introduction/Overview

Brief description of the feature and the problem it solves. Use plain language — avoid jargon or explain it. Assume the reader may be a junior developer or AI agent.

2. Goals

Specific, measurable objectives (bullet list).

3. 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

Numbering rule: US-001, US-002, US-003... (three digits, starting from 001). Each US should be independently implementable and small enough to complete within one focused agent session.

Mandatory E2E test story: Every PRD MUST include one end-to-end (E2E) test user story as the last user story. It validates the complete feature flow across the whole stack — from user action through UI, API, and data layer — not an isolated unit. Its acceptance criteria describe the full happy-path journey a real user takes to accomplish the feature's core goal, plus at least one critical edge/failure path, all asserted through an automated E2E test (e.g., Playwright/Cypress for UI, or an API-level integration test for backend-only features). This story depends on all others and confirms the feature works as a whole.

Acceptance criteria self-check template: Each criterion must satisfy at least one of the following, otherwise it is considered "vague" and must be rewritten:

• Observable: describes a specific UI state or API response (e.g., "button shows confirmation dialog")
• Testable: has clear input/output pairs (e.g., "entering an empty email shows a red warning")
• Verifiable: can be checked by tools (e.g., "Typecheck/lint passes")
• ❌ Bad example: "works correctly", "good user experience", "excellent performance" → these are unverifiable

Format:

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

**Acceptance Criteria:**
- [ ] Specific verifiable criterion
- [ ] Another criterion
- [ ] Typecheck/lint passes
- [ ] **[UI stories only]** Verify in a browser (e.g., via the `run` skill)

E2E story format:

### US-NNN: End-to-end test of [feature] flow
**Description:** As a QA engineer, I want an automated end-to-end test covering the full [feature] journey so that we catch regressions across the entire stack.

**Acceptance Criteria:**
- [ ] Automated E2E test simulates the full happy path (user action → UI → API → data → visible result)
- [ ] Covers at least one critical edge/failure path (e.g., invalid input, empty state, permission denied)
- [ ] Test runs in CI and passes
- [ ] Test is independent and repeatable (sets up and tears down its own data)

Important:

• Acceptance criteria must be verifiable, not vague. "Works correctly" is bad. "Button shows confirmation dialog before deleting" is good.
• For any story with UI changes: Always include "Verify in a browser" as acceptance criteria (e.g., via the run skill). This ensures visual verification of frontend work.

4. 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..."

FR specification: Each FR starts with FR-N: (N increments from 1), uses "system must / system shall" phrasing, and describes one specific behavior. Avoid combining multiple "and"-linked behaviors in a single FR.

5. Non-Goals (Out of Scope)

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

6. Design Considerations (Optional)

• UI/UX requirements
• Link to mockups if available
• Relevant existing components to reuse

7. Technical Considerations (Optional)

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

8. Success Metrics

How will success be measured?

• "Reduce time to complete X by 50%"
• "Increase conversion rate by 10%"

9. Open Questions

Remaining questions or areas needing clarification.

Output

• Format: Markdown (.md)
• Location: tasks/
• Filename: prd-[feature-name].md (kebab-case)

Step 3: Next Steps

After the PRD is saved, suggest the user:

✅ PRD saved to tasks/prd-[feature-name].md

Next steps:
  /prd-to-spec  →  Generate technical SPEC (optional — for complex features)
  /to-issues    →  Decompose into Issues and create tickets

Or go straight to implementation:
  /to-issues    →  Create Issues, then /goal to implement

If the user wants to proceed, invoke the corresponding skill.

Example PRD

# PRD: Task Priority System

## Introduction