tarunccet/pm-skills

AI product management skills: model evaluation, responsible AI, AI metrics, prompt engineering, AI feature specs, build-vs-buy decisions, AI user research, data strategy, incident response, and competitive analysis.

Data analytics skills for PMs: SQL query generation, cohort analysis, A/B test analysis, funnel analysis, event tracking planning, metric definition, and North Star metric definition.

Execution and product management skills: PRDs, solution briefs, ADRs, edge case analysis, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, general-purpose writing, meeting preparation, and stakeholder updates.

Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, ideal customer profiles, marketing ideas, positioning, product naming, and marketing plans.

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.

Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.

Product discovery skills for PMs: problem statements, testable hypotheses, ideation, experiments, assumption testing, lean validation, and customer interview synthesis.

Product strategy skills for PMs: vision, strategy canvas, value propositions, lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, monetization, pivot decisions, and devil's advocate stress-testing.

Vibe coding skills for PM-builders: write AI coding specs, plan prototypes, make technical architecture decisions, review AI-generated code, run deployment checklists, debug with AI assistance, and understand codebases in PM-friendly terms.