thinking▌

Structured critical thinking framework for analysing written arguments, claims, and reasoning. \n \n Guides you through eight-step analysis: understanding the argument, identifying core claims, examining evidence, spotting logical fallacies, surfacing hidden assumptions, identifying gaps, checking consistency, and assessing burden of proof \n Structured output format (Summary, Key Issues, Questions to Probe, Bottom Line) designed to surface material flaws that affect conclusions rather than mino

Apply systems thinking frameworks to understand complex multi-stakeholder problems and second-order effects. \n \n Maps systems by identifying all players, their incentives, and interactions; traces stocks (what accumulates) and flows (what moves between states) \n Helps identify leverage points where small interventions create large systemic changes and uncover feedback loops that amplify or dampen outcomes \n Flags common mistakes including optimizing locally, ignoring incentives, treating sym

Structured problem-solving through iterative reasoning with revision and branching capabilities. \n \n Break complex problems into sequential thought steps with dynamic scope adjustment as understanding evolves \n Revise previous conclusions and explore alternative reasoning paths from any point in the analysis \n Maintains full reasoning chain context throughout multi-stage analysis, design planning, or problem decomposition \n Ideal for tasks with initially unclear scope, interconnected reason

Refines raw ideas into actionable concepts through structured divergent and convergent thinking.

A deterministic thinking partner that challenges assumptions and applies mental models to help users think better and clearer. Not a lecture — a sparring session.

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Use this skill when:

Systematically evaluate research rigor, methodology, statistical validity, and evidence quality using established frameworks. \n \n Assesses internal/external validity, study design appropriateness, control quality, and measurement rigor across five validity dimensions \n Identifies cognitive, selection, measurement, analysis, and confounding biases with detection strategies and mitigation approaches \n Evaluates statistical methods, sample adequacy, multiple comparisons, effect sizes, and commo