This skill should be used when the user asks 'is this A/B test significant', 'did the variant actually win', 'compute lift and confidence interval', 'score a marketing experiment', 'run the promote-gate', or wants a statistically defensible promote/hold/reject call on an A/B or multivariate marketing experiment. Computes lift, a bootstrap confidence interval, and a significance test (Mann-Whitney U or two-proportion z) using pure Python standard library, without scipy or numpy. Every p-value is computed from the input data, never estimated. Use before promoting any experiment variant to production.
Install the complete plugin to include its agents, hooks, commands, and runtime context.
Fastest path: hand this line to the coding agent doing the setup. It reads this page and installs the product-skills plugin, which ships this skill with everything it relies on.
Click anywhere on the prompt to copy.
Choose a runtime, then follow its setup steps. This installs the complete product-skills plugin.
COMPLETE PLUGIN
Example session using the verified commands above.
The portable SKILL.md on its own, without the plugin’s hooks, agents, commands, and companion skills. Use it only when you intentionally want the narrower path.
Pass the canonical page to a teammate or keep it close for later.
