A comprehensive, research-backed AI skill file that transforms any AI assistant into a top-tier product management advisor. Covers the full PM career spectrum — from Product Analyst to CPO/CEO — across all industries.
Upload this single file to your AI assistant, and it gains expert-level product management knowledge synthesized from the world's leading practitioners, academic research, and 30+ proven frameworks.
- What Is This?
- Manage Your Skills with skill-forge
- What's Included
- Frameworks Covered
- How to Use
- Testing and Validation
- Sources and Attribution
- Contributing
- License
- Author
An AI skill file is a structured knowledge document that you upload to an AI chat assistant (ChatGPT, Claude, Perplexity, Gemini, etc.) to give it deep domain expertise. Think of it as a portable "brain upgrade" for your AI.
SKILL.md is a single Markdown file (~47KB, 800+ lines) containing:
- Role-calibrated responses that adapt to your seniority level (APM through CPO)
- 30+ product management frameworks with decision logic for when to use each
- Confidence calibration — every output includes a confidence level (HIGH / MEDIUM / LOW) with reasoning
- Bias disclosures — explicit acknowledgment of 5 reasoning bias dimensions
- Industry-specific calibration for SaaS, fintech, healthcare, marketplace, hardware, and more
- Communication templates (PRDs, strategy docs, OKRs, business plans)
- Anti-patterns and failure modes to avoid common PM mistakes
- Career development framework with a skills matrix from APM to CPO
Once you have this skill file (and others), you'll want a great way to organize, edit, and manage them. Check out skill-forge — a zero-install, single-file HTML app purpose-built for AI agent skill management.
skill-forge gives you:
- A visual library to browse, search, and organize all your skills as cards
- A guided 5-step wizard to create new skills — no YAML knowledge needed
- A split-pane pro editor with live preview and real-time validation
- A quality scorer (0–100) across 6 dimensions
- Works with Claude, ChatGPT, Cursor, GitHub Copilot, and more
- Zero dependencies. No install. Fully offline.
👉 Download skill-forge on GitHub
| File | Description |
|---|---|
SKILL.md |
The core skill file — upload this to your AI assistant |
- Product Vision and Strategy (Cagan/SVPG)
- DHM Model, GEM Framework, GLEe (Gibson Biddle / Netflix)
- Competitive and Market Strategy
- Market Analysis (Aumayr/Springer)
- Market Entry Playbook (Blue Ocean, Wedge, Fast Follower, Platform)
- Continuous Discovery Habits / Opportunity Solution Trees (Teresa Torres)
- Jobs to Be Done (Clayton Christensen)
- Product Kata (Melissa Perri)
- RICE, ICE, MoSCoW, Kano Model
- LNO Framework (Shreyas Doshi)
- Opportunity Scoring, Story Mapping, Buy-a-Feature
- AARRR / Pirate Metrics (Dave McClure)
- HEART Framework (Google)
- North Star Framework (Amplitude)
- Product Marketing Metrics (Aumayr)
- Product Operating Model (Cagan/SVPG)
- Team Topology Decision Matrix
- Organizational Integration (Aumayr)
- Enterprise Sales Integration
- Product Operations (ProdOps)
- Dual-Track Agile (Discovery + Delivery)
- Product Life Cycle Management
- Product Deprecation and Sunsetting Framework
- Go-to-Market and Launch Process
- Product-Led Growth (PLG)
- Pricing Strategy
- Three Levels of Product Work (Shreyas Doshi)
- Regret Minimization Test
- Reversibility Test
- Build Trap Detector (Melissa Perri)
- Value Exchange Check
- Minimum Lovable Product Standard
- How AI changes the PM role
- AI PM-specific skills and lifecycle considerations
- AI-enhanced PM workflows
- AI assumption types (including Model Capability assumptions)
- Open a new conversation
- Click the attachment/paperclip icon
- Upload
SKILL.md - Start asking product management questions — the model will use the skill automatically
- Open a new conversation
- Click the attachment icon
- Upload
SKILL.md - Begin your PM conversation
- Navigate to your Perplexity library or skill settings
- Upload
SKILL.mdas a custom skill - The skill activates automatically when PM-related questions are detected
- Open a new conversation
- Upload
SKILL.mdas an attachment - Ask your product management questions
If the platform supports file uploads or custom instructions, upload SKILL.md or paste its contents into the system/custom instructions field.
- State your seniority level — e.g., "I'm a Senior PM at a fintech startup" — so the skill calibrates its response depth and complexity
- Mention your industry — the skill adjusts frameworks and examples for SaaS, healthcare, fintech, marketplace, hardware, and more
- Ask for specific deliverables — "Write me a PRD for X" or "Help me set OKRs for Q3" to get structured template outputs
- Challenge the output — the skill includes contrarian views and anti-patterns by design; ask "What could go wrong?" to surface them
The skill file was rigorously tested across 6 diverse scenarios spanning all seniority levels and industries:
| Scenario | Seniority | Industry | Score |
|---|---|---|---|
| User Stories for Notification Feature | APM | B2B SaaS | 8.0/10 |
| Pricing Strategy for New Market | PM | Fintech | 9.0/10 |
| Outcome-Based Roadmap | Senior PM | Healthcare | 9.0/10 |
| Feature Factory Transformation | Director | Enterprise | 9.3/10 |
| Board Presentation on Product Strategy | CPO | Multi-product | 9.0/10 |
| AI Feature Discovery and Validation | AI PM | AI/ML Platform | 9.3/10 |
Overall Score: 8.9 / 10
Each scenario was scored on 7 dimensions:
- Seniority Detection — correct calibration to the user's level
- Framework Selection — appropriate 2-3 frameworks chosen (not too many, not too few)
- Confidence and Bias Calibration — confidence tags and bias disclosures present and accurate
- Actionability — concrete next steps the user can take immediately
- Industry Adaptation — industry-specific knowledge reflected
- Anti-Pattern Avoidance — common failure modes warned against
- Contrarian View — at least one alternative perspective offered
This skill file synthesizes knowledge from leading product management voices, publications, and academic research:
- Marty Cagan (SVPG) — INSPIRED, EMPOWERED, TRANSFORMED; Product Operating Model
- Teresa Torres — Continuous Discovery Habits; Opportunity Solution Trees
- Melissa Perri — Escaping the Build Trap; outcome vs. output thinking
- Klaus J. Aumayr — Successful Product Management (Springer, 2023); product business plans, lifecycle management
- Clayton Christensen — Competing Against Luck; Jobs to Be Done
- Shreyas Doshi — LNO Framework, Three Levels of Product Work, Pre-Mortems, Product Sense
- Gibson Biddle — DHM Model, GEM Framework, GLEe (former Netflix VP Product)
- Lenny Rachitsky — Lenny's Newsletter; product strategy, metrics, benchmarks
- Ken Norton — PM hiring, dual career tracks (former Google PM)
- Dave McClure — AARRR / Pirate Metrics
- Decision-making frameworks and organizational performance research
- Product management maturity models from peer-reviewed literature
Contributions are welcome. If you'd like to improve this skill file:
- Fork this repository
- Create a branch for your changes (
git checkout -b feature/add-framework) - Make your changes to
SKILL.md - Test your changes by uploading the modified file to an AI and running a few PM scenarios
- Submit a Pull Request with a description of what you changed and why
- Adding a well-established framework with proper attribution
- Improving industry calibration for underrepresented verticals
- Fixing factual inaccuracies or outdated information
- Adding test scenarios and results
- Improving template quality
Please ensure all additions include proper source attribution.
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercially
Under the following terms:
- Attribution — you must give appropriate credit, provide a link to the license, and indicate if changes were made
- ShareAlike — if you remix, transform, or build upon the material, you must distribute your contributions under the same license
- Initial public release
- 30+ frameworks covering strategy, discovery, prioritization, metrics, organizational design, execution, and decision-making
- Role-calibrated responses across the full PM career ladder (Analyst through CPO/CEO)
- Confidence calibration system with 5 levels and 5-dimension bias disclosures
- Industry-specific calibration for B2B SaaS, B2C, fintech, healthcare, marketplace, hardware, and AI/ML
- Communication templates: PRD, Product Strategy, OKRs, Product Business Plan
- AI-era product management section covering AI PM skills and workflows
- Career development framework with skills matrix
- Tested and validated across 6 scenarios (8.9/10 overall score)
Gowtham Kethineedi product-skill.zero675@passmail.com
Built with research across web, social, and academic sources. Tested and validated for real-world product management efficacy.