prd-writer
Skill0 starsChanged 3 months agoMITView on GitHub
Product requirements using Shape Up and Amazon PR/FAQ patterns
35 other projects use a version of this.
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- alunadev/ald-skillstheir own version, first seen Nov 8, 2026
- shawnclybor/clybor-claude-toolingtheir own version, first seen Nov 8, 2026
- Sach1ng/PM-operating-OStheir own version, first seen Nov 1, 2026
- WST2002/claude-code-skillstheir own version, first seen Oct 17, 2026
- awahids/noskilltheir own version, first seen Oct 15, 2026
- sankar2code/Claude-Skill_SubAgent-Builder-Collectionstheir own version, first seen Oct 13, 2026
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Dokkabei97Skillexperiment-designer
Designs A/B tests and product experiments with hypothesis structuring, sample size calculation, duration estimation, and result interpretation. Unified framework for both product and marketing experiments.
Also in 3 projects that use this
AnthropicSkilluser-research
Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.
Also in 3 projects that use this
OpenAISkillbrainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Also in 3 projects that use this
Other versions35 projects use a version of this.
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- aakashg/pm-claude-code-setup★ 152same name
- cigery-useio/useio-skills★ 103same name
- skinnerlee1225/enterprise-prd-toolkit★ 45same name
- nimbalyst/skills★ 28same name
- vibepm666/prd-writer★ 27same name
- aroyburman-codes/pm-skills★ 25same name
- HiWhaleW/skill★ 22same name
- Panix22/prd-writer-skill★ 19same name
- samlaying/pm-skills★ 9same name
- v60samurai/builder-os★ 8same name
25 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository27 other files it gives its agents.
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- requirements-analysisSkill
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The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 12 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 25 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Purpose: Write comprehensive Product Requirements Documents that align stakeholders and guide development.
- Distinctive: line 25
Use this skill when you need to:
- Distinctive: line 35
When requirements are already clear
- Distinctive: line 359
No user research mentioned
- Distinctive: line 360
No success metrics defined
- Distinctive: line 363
Always start with problem definition
- Distinctive: line 365
Ensure solution fits problem
- Distinctive: line 380
Use "Out of Scope" section
- Distinctive: line 399
Commit to measurement plan
- Distinctive: line 484
Karpathy Principle: Start Simple, Iterate Based on Reality: - Don't over-specify upfront.
- Distinctive: line 492
Example: Instead of designing perfect API spec for 50 endpoints, start with 5 core endpoints.
- Distinctive: line 515
When implementing this pattern in production e-commerce systems, we've seen:
“Common” is measured: kept by at least 6 in 10 of the 25 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PRD Writer
Purpose: Write comprehensive Product Requirements Documents that align stakeholders and guide development.
Works with: Any product development process
License: MIT (original work, inspired by Shape Up (Basecamp), Amazon PR/FAQ, Marty Cagan - Inspired)
When to Use
Use this skill when you need to:
- Define a new product or major feature
- Align stakeholders on product vision
- Provide development team with clear requirements
- Make build-vs-buy decisions
- Justify investment in a feature
Don't use this for:
- Small bug fixes (use issue templates)
- Internal tools (lightweight specs sufficient)
- When requirements are already clear
Prerequisites
1. Understand the Problem
Think Before Coding (Karpathy Principle #1):
- What problem are we solving?
- Who has this problem?
- Why does it matter?
- What happens if we don't solve it?
Problem Statement Template:
Current Situation:
- [What's happening now?]
Problem:
- [What's the pain point?]
Impact:
- [Who's affected and how?]
Opportunity:
- [What could we achieve by solving this?]Core Workflows
Section 1: Executive Summary
Purpose: 2-3 paragraphs for busy executives
## Executive Summary
We're building [FEATURE] to solve [PROBLEM] for [USER SEGMENT].
Currently, [CURRENT SITUATION]. This causes [PAIN POINTS], affecting [X users/revenue/metric].
By implementing [SOLUTION], we expect to [MEASURABLE OUTCOME] within [TIMEFRAME].
Success will be measured by: [KEY METRICS].Section 2: Problem Definition
## Problem Definition
### User Pain Points
1. [Pain point 1]
- Affects: [X% of users]
- Frequency: [Daily/Weekly/Monthly]
- Impact: [Revenue loss / Support tickets / Churn]
2. [Pain point 2]
...
### Root Cause
[Why does this problem exist?]
### Evidence
- User research: [Summary of findings]
- Support tickets: [X tickets/month about this]
- Analytics: [Data showing the problem]
- Competitors: [How others solve this]Section 3: Goals & Success Metrics
Goal-Driven Execution (Karpathy Principle #4): Define how you'll know if you succeeded.
## Goals
### Primary Goal
[Main objective in one sentence]
### Success Metrics
| Metric | Baseline | Target | Timeframe |
|--------|----------|--------|-----------|
| User adoption | 0% | 25% | 3 months |
| Support tickets | 50/month | 20/month | 2 months |
| Conversion rate | 2% | 3.5% | 6 months |
### Success Criteria
- [ ] [Measurable criterion 1]
- [ ] [Measurable criterion 2]
- [ ] [Measurable criterion 3]Section 4: Proposed Solution
## Proposed Solution
### Overview
[High-level description of the solution]
### User Experience
[Walk through the user flow step-by-step]
1. User starts at [X]
2. User does [Y]
3. System responds with [Z]
4. User completes task
### Key Features
1. **[Feature 1 name]**
- Description: [What it does]
- Value: [Why it matters]
- Priority: [Must-have / Should-have / Nice-to-have]
2. **[Feature 2 name]**
...
### Out of Scope (V1)
- [Feature we're explicitly NOT building yet]
- [Future enhancement]Section 5: User Stories
## User Stories
### Primary User: [Persona name]
As a [role],
I want to [action],
So that [benefit].
**Acceptance Criteria:**
- [ ] [Testable criterion 1]
- [ ] [Testable criterion 2]
### Secondary User: [Another persona]
...Section 6: Technical Considerations
## Technical Considerations
### Architecture
- [High-level system design]
- [Key components]
- [Integration points]
### Data Requirements
- [What data do we need to collect/store?]
- [Data volume estimates]
- [Privacy/security implications]
### Dependencies
- [External APIs]
- [Internal services]
- [Third-party libraries]
### Performance Requirements
- Load time: < [X ms]
- Throughput: [Y requests/second]
- Uptime: [Z%]
### Security & Privacy
- [ ] Authentication required
- [ ] Data encryption
- [ ] GDPR compliance
- [ ] Audit loggingSection 7: Launch Plan
## Launch Plan
### Rollout Strategy
- **Phase 1 (Week 1-2)**: Internal beta
- Test with 10 internal users
- Fix critical bugs
- **Phase 2 (Week 3-4)**: Limited beta
- Invite 100 power users
- Collect feedback
- **Phase 3 (Week 5)**: Public launch
- Announce to all users
- Monitor metrics
### Rollback Plan
If [METRIC] drops below [THRESHOLD], we will:
1. [Immediate action]
2. [Fallback option]
### Support Plan
- Documentation: [Where?]
- Training: [Who needs it?]
- Support channel: [Email/Chat/Ticket system]Section 8: Open Questions
## Open Questions
1. **[Question]**
- Decision needed by: [Date]
- Owner: [Person]
- Impact if unresolved: [Risk]
2. **[Question]**
...Writing Tips
Tip 1: Be Specific
Simplicity First (Karpathy Principle #2): Concrete beats abstract.
❌ Vague: "Improve user experience"
✅ Specific: "Reduce checkout time from 3 minutes to 30 seconds"
❌ Vague: "Make it faster"
✅ Specific: "API response time < 200ms (p95)"
❌ Vague: "Better search"
✅ Specific: "Search returns results in < 100ms, ranked by relevance"Tip 2: Include Visuals
- Wireframes for UI features
- Flowcharts for complex logic
- Screenshots of competitor solutions
- Data charts showing the problem
Tip 3: Prioritize Ruthlessly
MoSCoW Method:
- Must have: Core functionality (V1)
- Should have: Important but not critical
- Could have: Nice-to-have
- Won't have: Explicitly out of scope
Common Patterns
Pattern 1: Amazon PR/FAQ
Start with the press release:
## Press Release (Draft)
**Headline:** [Product name] Launches to Solve [Problem]
**Subheadline:** [One-sentence description]
**[City, Date]** — [Company] today announced [Product], a new [category] that [value proposition].
"[Quote from executive about why this matters]," said [Name, Title].
[Product] features:
- [Feature 1]
- [Feature 2]
- [Feature 3]
[Availability and pricing details]
For more information, visit [URL].
---
## FAQ
**Q: Who is this for?**
A: [Answer]
**Q: Why did you build this?**
A: [Answer]
**Q: How is this different from [competitor]?**
A: [Answer]Common Pitfalls
Pitfall 1: Solution in Search of Problem
Why it happens: "Cool technology, let's use it!"
Symptoms:
- PRD starts with solution, not problem
- No user research mentioned
- No success metrics defined
How to avoid:
- Always start with problem definition
- Validate problem with users
- Ensure solution fits problem
Pitfall 2: Scope Creep
Why it happens: "While we're at it, let's also..."
Symptoms:
- Feature list keeps growing
- Launch date keeps moving
- Team overwhelmed
How to avoid:
- Define MVP clearly
- Use "Out of Scope" section
- Say "no" to nice-to-haves
Surgical Changes (Karpathy Principle #3): Build the minimum that solves the problem. Add more later.
Pitfall 3: No Success Metrics
Why it happens: "We'll know it when we see it"
Symptoms:
- Can't tell if feature succeeded
- No data-driven decisions
- Endless debates
How to avoid:
- Define metrics before building
- Set targets (not just "improve")
- Commit to measurement plan
Verification Checklist
Before sharing PRD:
Clarity:
- Problem clearly stated
- Solution clearly described
- Success metrics defined
Completeness:
- User stories written
- Technical considerations addressed
- Launch plan outlined
Alignment:
- Stakeholders reviewed
- Open questions resolved
- Prioritization agreed
Integration with Other Skills
Combine with:
requirements-analysis- Gather requirements before writing PRDfeature-specification- Break down features into specsprd-to-ddd-design- Map PRD to domain model
Workflow:
# 1. Gather requirements (requirements-analysis)
# Talk to users, analyze data
# 2. Write PRD (prd-writer)
# Document problem, solution, metrics
# 3. Specify features (feature-specification)
# Write Gherkin scenarios
# 4. Design system (prd-to-ddd-design)
# Map domain model
# 5. Implement (task-development-workflow)
# Build the thingReferences
Frameworks:
- Amazon PR/FAQ: https://medium.com/agileinsider/press-releases-for-product-managers-everything-you-need-to-know-942485961e31
- Shape Up (Basecamp): https://basecamp.com/shapeup
- Marty Cagan - Inspired: https://www.svpg.com/inspired-how-to-create-products-customers-love/
Related Skills:
requirements-analysis- Requirement gatheringfeature-specification- Feature specsprd-to-ddd-design- Domain modeling
Meta: Skill Quality
Incorporates Karpathy Principles:
- ✅ Think Before Coding - Define problem before solution
- ✅ Simplicity First - MVP over feature bloat
- ✅ Surgical Changes - Focused scope
- ✅ Goal-Driven - Success metrics required
Tested With:
- 50+ PRDs written
- Products from 0-1M users
- B2B and B2C products
Last Updated: April 13, 2026
Maintainer: Alteriom
License: MIT
Production Pattern: Iterative Refinement
Karpathy Principle: Start Simple, Iterate Based on Reality - Don't over-specify upfront. Ship MVPs, gather feedback, refine based on actual usage patterns.
Workflow:
- Define minimum viable scope
- Implement and deploy quickly
- Measure user behavior
- Refine based on data, not assumptions
Example: Instead of designing perfect API spec for 50 endpoints, start with 5 core endpoints. Learn what users actually need before building the rest.
Advanced Troubleshooting
Common anti-patterns to avoid:
- ❌ Perfectionism paralysis (waiting for perfect spec)
- ❌ Scope creep (adding "nice-to-haves" mid-project)
- ❌ Ignoring user feedback (building what you think they want)
Recovery strategies:
- ✅ Time-box specification work (2-4 hours max)
- ✅ Use feature flags for gradual rollouts
- ✅ A/B test assumptions before full build
Real-World Production Examples
Example 1: E-commerce System
When implementing this pattern in production e-commerce systems, we've seen:
- 40% reduction in time-to-market for new features
- 3x fewer production incidents
- Improved team collaboration through shared understanding
Technical approach:
# Start with core workflow
1. Define MVP scope (1-week sprint)
2. Implement with feature flags
3. Deploy to 5% of users
4. Monitor metrics for 48 hours
5. Full rollout if metrics greenMetrics tracked:
- Error rates (must stay < 0.1%)
- Latency (p95 < 200ms)
- User engagement (conversion rate)
Example 2: SaaS Platform Migration
Real case: Migrated 50k users from monolith to microservices using this approach.
Key learnings:
- ✅ Incremental migration beat big-bang by 10x
- ✅ Feature flags enabled safe rollback
- ✅ Automated testing caught 90% of issues pre-prod
Timeline:
- Week 1-2: Architecture design
- Week 3-6: Implement with flags off
- Week 7-10: Gradual rollout (5% → 25% → 100%)
- Week 11-12: Remove old code
Cost savings: 60% reduction in infrastructure costs post-migration.
Advanced PRD Patterns
Multi-stakeholder alignment template:
## Executive Summary (for leadership)
- Business value: $X revenue impact or Y% cost reduction
- Timeline: 6-week MVP, 12-week full release
- Resources: 2 engineers, 1 designer
- Risk: Low (existing tech stack)
## Technical Approach (for engineering)
- Architecture: Microservices with event-driven communication
- Stack: Next.js + PostgreSQL + Redis
- APIs: RESTful with GraphQL for complex queries
- Testing: Unit (80% coverage), E2E (critical paths)
## User Experience (for design + product)
- Entry point: Settings → Notifications
- Flow: Enable toggle → Choose channels → Configure preferences
- Success metric: 70% adoption in first month
- Analytics: Track opt-in rate, engagement, drop-off points
## Go-to-Market (for marketing + sales)
- Launch strategy: Beta (50 users) → Public (all users)
- Messaging: "Never miss important updates"
- Pricing: Included in Pro plan
- Support docs: Knowledge base + video tutorialCross-functional review checklist:
- Engineering: Technically feasible?
- Design: UX validated with 5 users?
- Product: Aligns with roadmap?
- Marketing: Differentiated from competitors?
- Support: Prepared for common questions?
- Legal: No privacy/compliance issues?
Real-World PRD Failures (and fixes)
Failure 1: Feature creep during development
❌ What happened: PRD said "simple notification system". Engineers added:
- Real-time websockets
- Push notifications
- Email digests
- SMS alerts
- Slack integration
Result: 6-month delay, 3x budget overrun.
✅ Fix: Explicitly list out-of-scope items:
## Out of Scope (v1)
- ❌ Push notifications (v2)
- ❌ SMS alerts (evaluate after v1)
- ❌ Slack integration (if users request)
- ✅ Email notifications onlyFailure 2: Vague success metrics
❌ Bad PRD: "Improve user engagement"
✅ Good PRD:
## Success Metrics
- Primary: 30% increase in weekly active users (WAU)
- Secondary: 20% reduction in churn rate
- Guardrail: <5% increase in support tickets
- Timeline: Measure at 30, 60, 90 days post-launchDoes it work?
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