Skill UI

A comprehensive toolkit for modern product management. It guides users through essential workflows, including feature prioritization using RICE, deep customer discovery analysis from interviews, and structured PRD creation. Ideal for defining product strategy, synthesizing user research, and documenting requirements from concept to launch.

Guides optimizing account signup, registration, and trial activation flows to reduce friction, improve completion rates, and drive activation with principles covering field prioritization, trust signals, multi-step best practices, and mobile considerations.

Guides product managers through choosing the right prioritization approach (RICE, ICE, Value/Effort, etc.) by asking adaptive questions about stage, team context, stakeholder needs, and decision cadence, then delivers tailored implementation guidance.

Guides product managers through strategic roadmap planning by orchestrating prioritization, epic definition, stakeholder alignment, and release sequencing into a structured workflow that turns strategy into executable outcomes and keeps stakeholders aligned.

Guides product teams through hypothesis writing, metric definition, sample-size planning, ICE prioritization, and statistical interpretation so experiments stay practical, defensible, and aligned with business decision thresholds.

This skill guides the systematic process of conducting access reviews and certifications. It covers designing review campaigns, risk-based prioritization (e.g., privileged access), reviewer assignment, and remediation tracking. Essential for maintaining compliance with major regulations like SOX, HIPAA, and PCI DSS, ensuring user access strictly matches their job roles.

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

This framework shifts the focus from product features to the fundamental 'job' customers need to get done. It helps teams uncover deep customer needs by analyzing functional, emotional, and social dimensions. Use it for product positioning, feature prioritization, and understanding market-product fit by defining the progress customers seek to make in specific life circumstances.

This domain-agnostic skill ranks impediments, risks, and gaps by using a specialized value-stream scoring model. It evaluates countermeasures based on four criteria: Return on Investment (ROI), Cost to Implement, Ease of Deployment, and Risk Factor. A proprietary formula calculates a final Priority score (1-100), allowing users to quickly determine the optimal sequence for remediation, improvement backlogs, or triage items.

This comprehensive skill applies industry-standard prioritization frameworks, including RICE, MoSCoW, Kano, and ICE, to rank product features and backlog items. It generates a scored, defensible list that includes a recommended build order, explicitly deprioritized items, and documented assumptions. Essential for Product Managers and teams needing to make data-driven, strategic decisions about the product roadmap and manage scope trade-offs.

This skill generates a sophisticated prioritization matrix by combining quantitative RICE (Reach, Impact, Confidence, Effort) scoring with qualitative Strategic Alignment ratings. Use this when multiple features compete for resources, requiring a balanced decision between sheer user impact and adherence to core business OKRs. The output provides a scored priority matrix, quadrant placement (Now, Next, Later, Drop), and explicit sequencing recommendations.

This skill applies the RICE framework (Reach, Impact, Confidence, Effort) to objectively score and rank product initiatives. It helps teams prioritize backlogs, plan quarters, and compare multiple competing ideas by providing a structured, data-driven ranking. The output identifies quick wins, high-risk moonshots, and critical data gaps for validation.