19 skills found
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or INCONCLUSIVE.
Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.
Techniques for planning user research and synthesising it into grounded, confidence-rated findings about what users actually do
Techniques for eliciting and prioritising user needs, pains, and desires — the opportunities that feed product strategy
Techniques for mapping a domain's concepts, terminology conflicts, and bounded contexts — the raw material the conceptual model is built from
Techniques for mapping interaction structure and flow — places, affordances, edge cases, and failure paths — without committing to visual form
Diagnostic audit across all seven layers — identifies the bottleneck layer and recommends where to focus
Techniques for connecting user opportunities to business outcomes and solution bets, and testing the riskiest assumptions cheaply
Techniques for auditing and deciding the surface against the layers below — vocabulary, object consistency, completeness, feedback, hierarchy, accessibility
Framework orientation for Layers of Product Design — load this first; provides the context all other skills depend on
Entry P1 category router for reconnaissance and methodology. Use when mapping scope, discovering assets, fingerprinting technology, building endpoint inventory, and choosing the first high-value security testing path.
