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Found 19 Skills
Use this skill when applying Jobs-to-be-Done, building opportunity solution trees, mapping assumptions, or validating product ideas. Triggers on product discovery, JTBD, jobs-to-be-done, opportunity solution trees, assumption mapping, experiment design, prototype testing, and any task requiring product discovery methodology.
Audit whether an ML or AI paper's experimental baselines are necessary, fair, current, and reviewer-proof. Use this skill whenever the user is planning experiments, comparing methods, choosing baselines, worried about missing SOTA or unfair comparisons, preparing a reviewer-proof experiment section, or converting a literature review into must-have, should-have, optional, and not-comparable baselines.
Product analytics expert using PostHog MCP. Triggers on requests to understand user behavior, surface insights, create dashboards, analyze funnels, track metrics, set up experiments, or answer questions about product performance. Use when working with PostHog data, discussing analytics strategy, investigating user journeys, retention, conversion, feature adoption, or when asked to help understand what's happening in the product.
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.
Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
Frame epics as testable hypotheses using an if/then structure that articulates the action or solution, the target beneficiary, the expected outcome, and how you'll validate success. Use this to manage
This skill should be used when the user asks to "set up an A/B test", "calculate sample size", "design an experiment", "analyze A/B test results", "check statistical significance", "determine test duration", or "evaluate conversion rate experiments".