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Found 108 Skills
Assist with core product management activities including writing PRDs, analyzing features, synthesizing user research, planning roadmaps, and communicating product decisions. Use when you need help with PM documentation, analysis, or planning workflows that integrate with your codebase.
Operational product management skill: discovery, strategy, roadmaps, metrics, and leadership - using templates, checklists, and patterns (no theory).
Product management expertise for product strategy, roadmap planning, feature prioritization (RICE, ICE, MoSCoW), customer research, A/B testing, product analytics, and product-market fit. Use when building product roadmaps, prioritizing features, or defining product strategy.
Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.
Use when "RICE prioritization", "feature prioritization", "PRD writing", "user stories", or asking about "product roadmap", "customer interviews", "sprint planning", "backlog grooming"
Use when asked to "jobs to be done", "JTBD", "why customers churn", "prep for customer interviews", "hire and fire products", or "find real competitors". Helps discover unmet needs and the context behind purchasing decisions. The Jobs to be Done framework (created by Clayton Christensen and Bob Moesta) explains why customers hire and fire products.
Use when asked to "radical candor", "give feedback that cares", "have a difficult conversation", "challenge directly", "manage performance issues", or "give praise that lands". Helps deliver direct feedback while showing you care. The Radical Candor framework (created by Kim Scott) teaches how to challenge directly while caring personally.
Use when asked to "opportunity solution tree", "OST", "Teresa Torres", "map customer opportunities to outcomes", "structure discovery around opportunities", or "compare solutions for a customer need". Helps product teams connect outcomes to customer opportunities and test solutions with Opportunity Solution Trees (created by Teresa Torres).
Use when asked to "product-led SEO", "programmatic SEO", "build programmatic pages", "organic acquisition for product", "decide if SEO is worth it", or "optimize for AI search". Helps evaluate whether SEO fits your business model and how to approach it as a product, not just marketing. The Product-Led SEO framework (created by Eli Schwartz) treats SEO as building products for search users.
Create compelling progress updates and release notes. Use when shipping a new feature or need to communicate progress to stakeholders.
Use when asked to "run an A/B test", "design an experiment", "check statistical significance", "trust our results", "avoid false positives", or "experiment guardrails". Helps design, run, and interpret controlled experiments correctly. Based on Ronny Kohavi's framework from "Trustworthy Online Controlled Experiments".
Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.