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Found 7 Skills
Use when synthesizing perf findings into evidence-backed recommendations and decisions.
Use when planning UX research, discovery interviews, usability tests, synthesis, or evidence-backed product recommendations.
Interrogate an academic paper that makes or informs a causal claim, explain what effect it identifies and for whom, stress-test where it may fail, and derive proportionate public or policy advice. Use for causal paper analysis; use ordinary summarisation when no causal interpretation or recommendation is requested.
Use when running a stage-gate or gate review for an AI product, deciding Go/Kill/Pivot at a gate, judging whether an AI initiative is ready to advance to the next stage, triaging a portfolio of AI ideas, or choosing between a full and a fast-track path. Applies a Stage-Gate process built for AI products — incremental investment, dual value-and-technical validation, alignment/ethics/data checks at every gate — to reach an evidence-based gate decision.
Turn raw playtest observation into actionable design, UX, tuning, and production decisions.
Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.
Revise an existing design discussion while preserving evidence and decision state.