Skill UI

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

A structured framework for performing in-depth cohort analysis. It helps measure user retention rates, estimate Lifetime Value (LTV), and segment users based on behavior over time. Use this when analyzing growth metrics, identifying churn risks, or presenting product health to leadership.

Transforms verbose, detailed product updates into highly concise and structured executive briefings. Ideal for C-suite reporting, board updates, or leadership summaries, this skill focuses on actionable insights: key metrics, risks, required decisions, and next steps, ensuring the information is immediately digestible for busy executives.

Provides a structured, outcome-based critique of design concepts, shifting the focus entirely from aesthetics to product viability. This skill is ideal for Product Managers needing to assess whether a design achieves specific user goals, meets core business metrics, and satisfies original requirements. It generates actionable feedback tied to measurable outcomes, ensuring all critique points are evidence-based and strategically relevant.

This skill generates a comprehensive, cross-functional Go-to-Market (GTM) plan for any product launch, feature release, or new market entry. It helps align Product, Marketing, Sales, and Support teams by defining launch tiers (Major, Feature, Incremental), core messaging, operational activities, success metrics, and risk mitigation strategies. Ideal for pre-launch strategy, ensuring cross-departmental coordination, and defining measurable success criteria.

This skill generates a comprehensive metrics framework for any product, team, or business. It connects the North Star Metric to supporting drivers using established models like AARRR, HEART, or OKR. The output is a structured, actionable metric hierarchy, including definitions, counter-metrics, and dashboard recommendations to guide strategic decision-making.

A specialized skill for creating highly structured, measurable, and strategically aligned Objectives and Key Results (OKRs). It guides product teams, startups, and departments in setting ambitious goals by defining clear objectives and quantitative key results. It actively flags common anti-patterns, such as vanity metrics or output-based goals, ensuring all KRs are measurable and tied back to the company's North Star metric.

This comprehensive template helps Product Managers transform chaotic end-of-week data into a structured, actionable, and highly readable weekly report. It guides the review process by covering key metrics movement, shipping progress, identified blockers, customer insights, and defining the top 3 priorities for the coming week, ensuring all stakeholders remain aligned and focused.

This skill guides the creation of comprehensive Product Requirements Documents (PRDs) following industry best practices. It ensures all critical sections are included, such as problem statements, user stories, functional/non-functional requirements, technical considerations, and success metrics. Use it when formalizing a new feature or product specification for engineers and stakeholders.

Transforms complex raw product metrics into a clear, actionable health narrative. This skill analyzes key performance indicators (KPIs) across the entire user lifecycle—including acquisition, activation, engagement, and retention—against set OKRs and benchmarks. The output is a comprehensive report providing overall health status, key observations, hypothesized root causes for performance dips, and prioritized, actionable next steps with assigned owners.

A comprehensive framework for diagnosing user churn and improving product stickiness. Use this when analyzing key retention metrics (D1, D7, D30, DAU/MAU), investigating why users leave, or building targeted, actionable interventions. It guides the analysis from segmentation to identifying 'aha moments' and recommending specific product changes.

Generates comprehensive, audience-calibrated product roadmaps that tell a cohesive strategy story. Use this skill when planning product direction, presenting quarterly goals to leadership, or defining strategic initiatives. It structures the output using the Now/Next/Later framework, ensuring the narrative includes success metrics, strategic context, and explicit deprioritization rationale, adapting the detail level for executives, engineers, or customers.