Structured AI workflows for better product decisions. 9 plugins covering discovery, strategy, execution, research, analytics, go-to-market, AI product management, vibe coding, and guided learning. 89 skills and 59 commands.
npx claudepluginhub tarunccet/pm-skillsAI product management skills: model evaluation, responsible AI, prompt engineering, AI feature specs, build-vs-buy decisions, AI user research, data strategy, and AI incident response. AI competitive analysis and AI metrics are now part of the unified competitor-analysis and product-metrics skills.
Product discovery skills for PMs: ideation, experiments, assumption testing, and customer interview synthesis. Feature prioritization and assumption prioritization are now part of the unified prioritization skill in pm-execution. Product metrics are now in the product-metrics skill in pm-data-analytics.
Product strategy skills for PMs: vision, strategy canvas, value propositions (strategic JTBD template plus marketing-ready statements), lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, monetization, and devil's advocate stress-testing.
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, unified prioritization (features, assumptions, backlog, and general modes with all 9 frameworks), general-purpose writing, meeting preparation, and stakeholder updates.
Market research skills for PMs: user personas, unified segmentation (market, user, and beachhead modes), sentiment analysis, and competitive analysis with standard, AI-focused, and battlecard output modes.
Data analytics skills for PMs: SQL query generation, cohort analysis, A/B test analysis, funnel analysis, event tracking planning, metric definition, product metrics framework, and North Star metric definition.
Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, ideal customer profiles, competitive battlecards, marketing ideas, positioning, and product naming.
Vibe coding skills for PM-builders: write AI coding specs, plan prototypes, make technical decisions, review AI-generated code, ship with confidence, and understand codebases and technical systems in PM-friendly terms.
Interactive Socratic learning modules for PMs: guided exercises, simulations, and quiz checkpoints for discovery, strategy, metrics, prioritization, user research, stakeholder management, AI product management, and vibe coding.
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