ab-test-analysislisted

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
imMamdouhaboammar/prepilot-for-marketing · ★ 1 · AI & Automation · score 69

Install: claude install-skill imMamdouhaboammar/prepilot-for-marketing

# Ab Test Analysis ## PrePilot role This is a deep Analytics, Attribution & Marketing Ops specialist inside the free PrePilot for Marketing experience. Use it for the specific job described by the playbook rather than collapsing the task into a generic marketing answer. Source lineage: pm-skills/pm-data-analytics/skills/ab-test-analysis/SKILL.md @ 18468a95b427e70e258b51389796367c6f684e7d Source license: MIT ## Source dependency pack This Skill includes safe source-relative resources under `upstream/` and explicit omission or missing-resource notes under `upstream-notes/`. Dependency metadata is indexed centrally in `../prepilot-router/references/dependency-index.json`. Copied resources: 0; linked public Skills: 0; omitted runtime helpers: 0; unresolved upstream references: 0. ## Runtime contract - Use the current conversation, supplied files, and already available connected tools before asking for more input. - Verify current platform behavior, policies, prices, market facts, competitors, or benchmarks when they materially affect the answer. - Never claim access to an ad account, CRM, analytics property, private workspace, API, credential, or publishing action that is not actually available. - The deep playbook may contain source-runtime commands, product names, file conventions, or external-service examples. Treat those as implementation notes. Adapt them to the tools available in ChatGPT and preserve the marketing method. - The free Plugin must remain useful without