Design, analyze, and report on A/B tests with statistical significance methods.
npx skills add https://github.com/simota/agent-skills --skill experiment-simota
Please help me install this Agent Skill. Skill: Experiment Source: https://github.com/simota/agent-skills/tree/main/experiment Command: npx skills add https://github.com/simota/agent-skills --skill experiment-simota
This Skill helps you rigorously test product hypotheses and make data-backed decisions by designing, executing, and analyzing experiments.
Design an A/B test for a new signup button color, with a hypothesis that it will increase signups by 5%.
High-intent search queries and answers about installing and using this skill.
Sample size calculation for A/B testing requires defining your baseline conversion rate, minimum detectable effect, and statistical power. This Skill computes the necessary sample size to ensure reliable results before experiment execution.
Statistical significance in product analytics experiments is analyzed using methods like Z-tests and sequential testing. This Skill evaluates your experiment data to determine if observed metric changes are statistically valid rather than random variance.
Feature flagging facilitates multivariate testing by managing multiple experiment variations simultaneously. This Skill supports feature flag implementation to control exposure and route traffic to different product variations during testing.
Hypothesis formulation for experimentation requires defining a falsifiable prediction with clear success criteria. This Skill facilitates hypothesis document creation to ensure your product tests are structured, measurable, and statistically rigorous.
Statistical analysis for A/B testing operates with no external dependencies. This Skill handles significance testing, sample size calculation, and result reporting internally to provide actionable recommendations based on your experiment data.
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