PM Skills for AI Product Managers

Structured frameworks for AI product managers — covering daily workflows, product thinking, and technical depth.

Covers the full PM toolkit: writing PRDs, defining metrics, running prioritization, doing competitive analysis, building product strategy, and more — all tuned for the AI product landscape.

Skills

PM Workflow Skills

Skill	Command	Use For
PRD Writer	/prd-writer	Generate structured PRDs from a feature brief or idea
Prioritization Matrix	/prioritization-matrix	Score and rank features using RICE/ICE/weighted scoring
User Research Synthesis	/user-research-synthesis	Synthesize interviews and feedback into actionable insights
Launch Checklist	/launch-checklist	Generate launch readiness checklists for product releases
Stakeholder Brief	/stakeholder-brief	Write exec-ready updates, decision docs, and status reports
Metric Dashboard	/metric-dashboard	Design KPI dashboards and metric tracking plans
PM Writing	/pm-writing	Rewrite any PM doc with extreme clarity — BLUF, numbered lists, force-ranked priorities

Product Thinking Skills

Skill	Command	Use For
Product Sense	/product-sense	"Design X", "Improve X", productize a capability
Product Strategy	/product-strategy	Market entry, competitive positioning, build-vs-buy, long-term vision
Analytical PM	/analytical-pm	Metrics, goal-setting, root-cause analysis, trade-offs, A/B tests
Technical PM	/technical-pm	System design, API design, ML/AI technical depth
Behavioral PM	/behavioral-pm	Leadership stories, conflict resolution, stakeholder management

AI Industry Skills

Skill	Command	Use For
AI Product Teardown	/ai-product-teardown	Structured teardown of ChatGPT, Claude, Gemini, etc.
AI Market Landscape	/ai-market-landscape	Real-time competitive analysis of the AI market
PM Case Study	/pm-case-study	Case studies from real AI product launches and decisions
AI Ethics & Trade-offs	/ai-ethics-tradeoffs	Safety/capability trade-offs, content policy, responsible scaling
Mock Interviewer	/mock-interviewer	Interactive mock practice with scoring and feedback

Installation

Claude Code Plugin (Recommended)

/plugin marketplace add aroyburman-codes/pm-skills

Manual Installation

git clone https://github.com/aroyburman-codes/pm-skills.git ~/.claude/skills/pm-skills

OpenSkills (Cross-tool)

npx openskills install aroyburman-codes/pm-skills

How It Works

Each skill follows a research-first workflow:

1. You describe what you need — e.g., /prd-writer AI-powered search feature for our docs platform
2. The skill researches — web searches for latest data, competitor approaches, best practices
3. Generates structured output — Following proven frameworks with inline citations
4. Ready to use — Copy into your docs, share with stakeholders, or iterate further

Frameworks

Product Sense

Clarify → Why Build → Users → Pain Points → Solutions → Metrics

Product Strategy

Alignment → Landscape → Options → Recommendation → Risks

Analytical PM

• Metrics: NSM → Supporting → Counter → Ecosystem → Trade-offs
• Root-cause: Clarify → Segment → Hypothesize (MECE) → Validate → Act
• Trade-offs: Quantify → Framework → Experiment → Recommend

Technical PM

Constraints → Personas → System Design → Trade-offs → API/DX → Metrics

Prioritization

Impact → Confidence → Effort → Score → Rank → Communicate

Compatibility

Works with Claude Code, Cursor, Windsurf, Codex, and other tools supporting the Agent Skills standard.

Contributing

PRs welcome! To add a new skill:

1. Create a directory in skills/ with your skill name
2. Add a SKILL.md following the frontmatter format (see existing skills)
3. Keep SKILL.md under 500 lines — use reference files for detailed content
4. Submit a PR with a description of the skill and example usage

License

MIT License — see LICENSE