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Found 106 Skills
Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
Use when investigating why something happened and need to distinguish correlation from causation, identify root causes vs symptoms, test competing hypotheses, control for confounding variables, or design experiments to validate causal claims. Invoke when debugging systems, analyzing failures, researching health outcomes, evaluating policy impacts, or when user mentions root cause, causal chain, confounding, spurious correlation, or asks "why did this really happen?"
Display the current state of the FPF knowledge base
Comprehensive protocol for validating root causes of software issues. Use when you need to systematically debug a complex bug, flaky test, or unknown system behavior by forming hypotheses and validating them with specific tasks.
Use when running controlled perf experiments to validate hypotheses.
Four-phase debugging framework - root cause investigation, pattern analysis, hypothesis testing, implementation. Ensures understanding before attempting fixes.
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment, materials, expertise) must be estimated for proposed experiments
Systematically validate your business hypotheses before building anything. Master Steve Blank's Customer Development methodology that became the foundation of Lean Startup and YC's approach. Use when: **Starting a new venture** to avoid building something nobody wants; **Before writing a line of code** to validate problem-solution fit; **Pivoting decisions** to systematically test new directions; **Early-stage fundraising** to prove market validation; **Product roadmap planning** to prioritiz...
Statistical analysis: t-tests, chi-squared, Mann-Whitney, p-values, CIs, Bonferroni/BH, Bayesian A/B
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset