Custom AI skills that encode product management best practices into reusable automation. Built to reduce routine PM work and scale domain expertise across teams. Also it will allow for better + structured prompting while AI will ask you clarifying questions where applicable to ensure it challenges your thinking and exposes weak spots (crucial for a strategic role such as Product Management). Purpose is Skill -> feeds a Project and Instructions -> prepare AI to function within the Project's scope and context. That's where you can derive the biggest value from and avoid any hallucinations of sorts.
This repository contains production-ready Claude AI skills designed for product managers working in ticketing, payments, and multi-market environments. Each skill transforms hours of manual work into seconds of automated output while maintaining quality and consistency.
The Problem:
- PRD creation takes 2-4 hours of structured writing
- Roadmap updates require manual synthesis across multiple sources
- Stakeholder communications consume 5+ hours weekly
- Quality varies based on PM experience level
- Domain knowledge doesn't scale beyond individuals
The Solution: Custom AI skills that:
- Encode 10+ years of product expertise into reusable prompts
- Apply consistent structure and quality standards
- Generate first drafts in seconds instead of hours
- Scale best practices across junior and senior PMs alike
- Free up time for strategic thinking and customer engagement
Purpose: Transforms rough discovery notes into structured Product Requirement Documents
Input: Meeting transcripts, customer interviews, brainstorming notes, strategy docs
Output: Complete PRD with:
- Executive Summary (problem, solution, business case)
- Success Metrics (measurable KPIs with targets)
- Assumptions (testable hypotheses)
- Scope & Requirements (in/out of scope by market)
- User Journeys (JTBD format)
- Technical Considerations (APIs, architecture, performance)
- Open Questions (with owners and tracking)
- Edge Cases (error scenarios, failure modes)
- Security & Privacy (compliance by market)
- Dependencies (blockers, prerequisites)
- Timeline (phases and milestones)
Time Saved: 2-4 hours → 15 minutes (including review/editing)
Quality Improvement: Consistent 90+ score on PRD Completeness Validator
Key Features:
- Market-specific compliance (UK: FCA/PSD2, EU: GDPR, US: state regulations)
- Technical pattern recognition (payment → PCI, data → privacy assessment)
- Metric templating by product type (e-commerce, SaaS, marketplace)
- Gap detection and intelligent questioning
60+ Use Cases:
- Quarterly planning sessions
- Board/investor updates
- Team alignment meetings
- Strategy documentation
- More
Each skill follows Claude's skill architecture:
skill-name/
└── SKILL.md
├── Purpose
├── When to Use
├── Core Capabilities
├── Input Formats
├── Output Format
├── Intelligent Behavior
├── Quality Standards
└── Success Indicators
1. Domain Encoding Skills embed real PM expertise:
- 10 years across ticketing, payments, fintech, FMCG, eCommerce
- Multi-market operations (UK, EU, US, 10+ countries)
- Compliance knowledge (PCI DSS, GDPR, PSD2, FCA regulations)
- Technical fluency (APIs, system design, data pipelines)
2. Quality Gates Built-in validation:
- Completeness checks (no missing critical sections)
- Metric specificity (no vague "improve experience")
- Testable assumptions (falsifiable hypotheses)
- Edge case coverage (failure modes documented)
3. Context Awareness Adapts to:
- Product type (B2B/B2C, marketplace, SaaS, infrastructure)
- Market (different compliance by region)
- Stage (concept vs detailed spec)
- Audience (engineering, exec, cross-functional)
-
In Claude.ai:
- Navigate to your Project (e.g., "Planning & Delivery")
- Click Settings → Skills
- Click "Add Custom Skill"
- Upload the relevant
SKILL.mdfile
-
Test the skill:
[Provide your input - notes, docs, data] Generate a PRD / roadmap / update based on this. -
Review and refine: Claude generates a first draft following the skill template. Edit as needed for your specific context.
Clone this repo to access skills locally:
git clone https://github.com/dimospapadopoulos/claude-pm-skills.git
cd claude-pm-skillsUpload skills to Claude Projects via web interface or API.
- Document creation time: 60% reduction (15+ hours saved weekly)
- PRD quality score: Consistent 90+ on validation (vs 60-75 manual)
- Review cycles: 40% reduction (fewer clarifying questions from eng)
- Stakeholder prep time: 75% reduction (10 minutes vs 1 hour)
- Junior PMs produce senior-quality specs from day 1
- Consistent standards across 10+ market requirements
- Institutional knowledge encoded (survives team turnover)
- Onboarding time reduced by 50% (learn by example)
- Time freed up for customer discovery (+5 hours/week)
- Faster iteration (specs done in hours, not days)
- Better decision quality (consistent frameworks applied)
- Reduced engineering blockers (clearer, more complete specs)
Works seamlessly with:
- PRD Completeness Validator - Validates generated PRDs
- Voice of Customer Synthesizer - Feeds customer insights into PRDs
- Claude Projects ecosystem (Strategy, Delivery, Research, Analytics, Communications, Technical specs)
- Slack (via bot integration for on-demand generation)
- Google Docs (import/export for collaboration)
-
Edit templates in SKILL.md:
- Update section headings to match your org's PRD template
- Modify success metrics for your product type
- Add industry-specific compliance requirements
-
Adjust quality standards:
- Change passing score threshold (default: 90/100)
- Weight sections by importance (critical/high/medium)
- Add custom validation rules
-
Extend capabilities:
- Add market-specific templates
- Include your org's terminology
- Embed your strategic frameworks (RICE, AARRR, etc.)
For SaaS Companies:
- Add activation/retention metrics
- Include feature adoption tracking
- Emphasize integration requirements
For E-commerce:
- Focus on conversion funnel metrics
- Add payment method considerations
- Include fraud prevention requirements
For B2B:
- Enterprise security requirements
- Multi-tenant considerations
- SLA and compliance sections
Product Thinking:
- Codifying "good PM work" requires deep domain expertise
- Skills improve through iteration based on real usage
- Quality automation scales expertise better than documentation
- Best practices are contextual (no one-size-fits-all)
Technical Skills:
- Prompt engineering at production scale
- Structured output generation (YAML, markdown, tables)
- Context management (what to include, what to omit)
- Skill composition (how skills reference each other)
Team Enablement:
- Tools that encode judgment create consistent quality
- Fast feedback loops accelerate learning
- Automation doesn't replace thinking / it gave me more time to think through systems/architecture.
- Junior PMs learn by seeing examples, not just reading docs. Gone are the days I searched on Google and libraries to complete my thesis: "Electrical Treeing as a Result of Mechanical Stresses" in 2017.
- Add metric calculation examples
- Include PRD templates by product type (feature, API, infrastructure)
- Enhance market-specific compliance rules
- Slack bot integration (
/generate-prd,/create-roadmap,/status-update) - Google Docs import/export
- Version control and change tracking
- Team collaboration features
- AI-powered PRD review and suggestions
- Automated roadmap optimization
- Predictive analytics (estimate completion times)
- Integration with project management tools (Jira, Linear)
This is a personal productivity library, but if you want to adapt these skills for your org:
- Fork the repository
- Customize SKILL.md files for your domain
- Test thoroughly with your team's real work
- Share learnings (optional - via issues/discussions) - reach out to me via Git or LI or email (portfolio linked below)
This project is licensed under the BSD 3-Clause License; please attribute [Dimos Papadopoulos/Claude PM skills] in all redistributions or derived works.
Author: Dimos Papadopoulos
Role: Product Manager
Domain: Ticketing, Payments, Multi-Market Product Development, eCommerce
Background: 10 years across entertainment, electronics, FMCG, eCommerce, fashion
Why I Built This: As a PM moving to leadership roles, I needed to:
- Scale my output without sacrificing quality
- Encode domain expertise so it survives any job changes
- Demonstrate technical capability (not just talk about it)
- Free up time for strategic work vs document creation
These skills save me 15+ hours weekly and produce consistently high-quality output. They're the automation I wish I had when I started out my career in 2017.
Connect:
- GitHub: @dimospapadopoulos
- LinkedIn: Dimos Papadopoulos
- Portfolio: Other Projects
- PRD Completeness Validator - Validates PRDs against quality standards (pairs with PRD Generator skill directly into your Projects - as you automate 60% of your time towards more strategic thinking)
- Voice of Customer Synthesizer - Analyzes 150k+ feedback entries annually (feeds insights into Slack for actionability)
Built with: Claude AI, 10 years of PM experience, and a belief that good automation scales expertise / not replacing it!
Last Updated: February 2026