prd-generator▌
ognjengt/founder-skills · updated Apr 8, 2026
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Transform a rough product idea into a comprehensive, AI-ready Product Requirements Document (PDF) through targeted questions and structured output.
PRD Generator
Purpose
Transform a rough product idea into a comprehensive, AI-ready Product Requirements Document (PDF) through targeted questions and structured output.
Execution Logic
Check $ARGUMENTS first to determine execution mode:
If $ARGUMENTS is empty or not provided:
Respond with: "prd-generator loaded, describe your product idea"
Then wait for the user to provide their product concept in the next message.
If $ARGUMENTS contains content:
Proceed immediately to Task Execution (skip the "loaded" message).
Task Execution
1. MANDATORY: Read Reference Files FIRST
BLOCKING REQUIREMENT — DO NOT SKIP THIS STEP
Before doing ANYTHING else, use the Read tool to read:
./references/prd_template.md
This template defines the exact structure your PRD must follow. DO NOT PROCEED to Step 2 until you have read this file.
2. Skip Business Context
This skill intentionally DOES NOT read FOUNDER_CONTEXT.md. PRDs are standalone documents that should contain all necessary context within them.
3. Analyze Initial Input
From the user's initial description, extract what's available:
- Product name or working title
- Core problem being solved
- Target users/audience
- Key features mentioned
- Technical preferences (if any)
- Constraints or requirements (if any)
4. Ask Clarifying Questions
Use AskUserQuestion tool to gather missing information. Ask up to 7 questions maximum, but fewer is better — stop as soon as you have enough to build a comprehensive PRD.
Question Bank (priority order):
| # | Question | Why it matters | Skip if... |
|---|---|---|---|
| 1 | Who is the primary user? What's their role and technical level? | Shapes all UX decisions and feature complexity | User persona is clearly described |
| 2 | What's the core problem this solves? What happens if users don't have this? | Defines the value proposition and success metrics | Problem statement is explicit |
| 3 | What are the 3-5 must-have features for launch (P0)? | Prevents scope creep, focuses MVP | Features are already listed with clear priority |
| 4 | What technology preferences or constraints exist? (Language, framework, hosting) | Determines technical architecture section | Tech stack is specified |
| 5 | Are there any integrations required? (Auth providers, APIs, third-party services) | Identifies dependencies and integration complexity | No external services mentioned or user says standalone |
| 6 | What does success look like? Any specific metrics to track? | Defines goals and success metrics section | Metrics or goals are already stated |
| 7 | Any design preferences or existing brand guidelines to follow? | Shapes UI/UX requirements section | Design is flexible or already described |
Question strategy:
- Ask 2-4 questions per batch using AskUserQuestion
- If the first batch answers provide enough detail, stop asking
- Never ask more than 7 questions total
- Group related questions when possible
5. Generate the PRD
Using the template structure from ./references/prd_template.md, create a complete PRD:
- Fill every applicable section from the template
- Be specific — vague requirements produce vague code
- Write acceptance criteria for every feature — make them testable
- Prioritize ruthlessly — P0 should be 30-40% of features
- The "Implementation Notes for AI" section is mandatory — this is what makes it AI-ready
6. Save and Convert to PDF
Step 6a: Create output folder
mkdir -p ./prd_outputs/[Project Name]/
Use the product name with spaces, e.g., ./prd_outputs/Churn Prevention Tool/
Step 6b: Save markdown file Write the PRD content to:
./prd_outputs/[Project Name]/[project_name]_PRD.md
Use snake_case for the filename, e.g., churn_prevention_tool_PRD.md
Step 6c: Convert to PDF Run:
npx md-to-pdf "./prd_outputs/[Project Name]/[project_name]_PRD.md"
This creates [project_name]_PRD.pdf in the same folder.
7. Confirm Output
Tell the user:
- Where the PDF is saved (full path)
- Where the markdown source is saved
- Brief summary of what's in the PRD
Writing Rules
Core Rules
- Every feature MUST have testable acceptance criteria
- Use specific numbers, not vague terms ("loads in <2s" not "loads quickly")
- P0 features should be 30-40% of total features — if everything is P0, nothing is
- Data models must include field types and relationships
- API specs must include request/response examples
PRD-Specific Rules
- Executive summary: 3-5 sentences maximum
- Problem statement: Must include current state, pain points, and business impact
- User personas: Maximum 3 primary personas — more creates confusion
- Tech architecture: Describe data flow in plain English — AI tools interpret this better than complex diagrams
- Implementation Notes for AI section: This is mandatory, never skip it
Format Rules
- Use markdown headers consistently (# for title, ## for sections, ### for subsections)
- Use tables for structured data (metrics, data models, API specs)
- Use code blocks for JSON examples and technical specs
- Use checkboxes for acceptance criteria
Output Format
The PRD follows the structure in ./references/prd_template.md. Here's a condensed example:
# TaskFlow — Product Requirements Document
**Version:** 1.0
**Date:** 2024-01-15
**Author:** PRD Generator
**Status:** Draft
## Executive Summary
TaskFlow is a task management tool for remote engineering teams...
## Problem Statement
**Current state:** Teams use disconnected tools...
**Pain points:**
1. Context switching between tools
2. No visibility into team workload
3. Async communication gaps
**Impact:** 5+ hours/week lost per engineer...
## Goals & Success Metrics
| Goal | Metric | Target | Measurement |
|------|--------|--------|-------------|
| Reduce context switching | Tool switches/day | < 10 | Analytics |
## User Personas
### Engineering Manager
- **Role:** Manages 5-10 engineers
- **Goals:** Visibility into sprint progress...
## Functional Requirements
### FR-001: Task Creation
**Description:** Users can create tasks with title, description, assignee, and due date.
**User story:** As an engineer, I want to create tasks quickly so that I capture work items without friction.
**Acceptance criteria:**
- [ ] Task creation completes in < 500ms
- [ ] Title field is required, minimum 3 characters
- [ ] Due date defaults to end of current sprint
**Priority:** P0
...
## Implementation Notes for AI
### Build Order
1. Database schema (PostgreSQL)
2. API endpoints (Express.js)
3. Frontend components (React)
4. Auth integration (Clerk)
### Libraries to Use
- Prisma for ORM — type-safe, great DX
- TanStack Query for data fetching — handles caching
- Tailwind CSS for styling — utility-first, fast iteration
### Critical Implementation Details
- All dates stored as UTC, converted to user timezone on display
- Use optimistic updates for task status changes
- Implement soft deletes for all user-generated content
References
This file MUST be read using the Read tool before task execution (see Step 1):
| File | Purpose |
|---|---|
./references/prd_template.md |
Complete PRD structure with all 15 sections, format examples, and usage notes |
Why this matters: The template ensures every PRD follows a consistent, comprehensive structure that AI coding tools can parse and implement. Skipping the template results in incomplete PRDs that miss critical sections.
Quality Checklist (Self-Verification)
Pre-Execution Check
- I read
./references/prd_template.mdbefore starting - I have the template structure in context
Question Check
- I asked 7 or fewer questions total
- I only asked questions where information was genuinely missing
- Questions were batched (2-4 per AskUserQuestion call)
PRD Content Check
- Executive summary is 3-5 sentences
- Every feature has acceptance criteria (checkboxes)
- P0 features are ~30-40% of total (not everything)
- Data models include field types
- API specs include request/response examples
- "Implementation Notes for AI" section is complete
Output Check
- Markdown file saved to
./prd_outputs/[Project Name]/ - PDF generated via
npx md-to-pdf - User informed of file locations
If ANY check fails → fix before completing.
Defaults & Assumptions
Use these unless the user specifies otherwise:
- Document version: 1.0
- Status: Draft
- Author: PRD Generator
- Tech stack: Modern web (React + Node.js + PostgreSQL) unless specified
- Hosting: Cloud-native (Vercel/Railway/AWS) unless specified
- Auth: Third-party (Clerk/Auth0) unless building custom
- Priority split: ~35% P0, ~40% P1, ~25% P2
- User personas: Maximum 3 unless complexity demands more
- API style: REST unless GraphQL is specified
Document any assumptions made in the PRD output.
How to use prd-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add prd-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches prd-generator from GitHub repository ognjengt/founder-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate prd-generator. Access the skill through slash commands (e.g., /prd-generator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★50 reviews- ★★★★★Aditi Singh· Dec 24, 2024
Registry listing for prd-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Isabella Smith· Dec 20, 2024
prd-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Dec 8, 2024
prd-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 8, 2024
We added prd-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sakshi Patil· Nov 27, 2024
Keeps context tight: prd-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Farah· Nov 19, 2024
Solid pick for teams standardizing on skills: prd-generator is focused, and the summary matches what you get after install.
- ★★★★★Valentina Chawla· Nov 15, 2024
We added prd-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chinedu Jackson· Nov 15, 2024
prd-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chen Sanchez· Nov 11, 2024
I recommend prd-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chaitanya Patil· Oct 18, 2024
prd-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
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