Install
$ agentstack add skill-ognjengt-founder-skills-prd-generator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ognjengt
- Source: ognjengt/founder-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.