Lifecycle Experiment Planner

Design lifecycle A/B tests with hypothesis checks, sample-size guidance, and stopping criteria.

experimentation, ab-testing, lifecycle, statistics

Install this skill

./bin/skills-hub install marketing/[email protected] --runtime codex

./bin/skills-hub install marketing/[email protected] --runtime claude

./bin/skills-hub install marketing/[email protected] --runtime generic --target ./my-agent/skills

How You Can Use This

Documentation

Execution: instructions

First run: Read SKILL.md and follow the documented workflow.

Current limits

Instruction package only; it does not provide or authorize an executable runtime capability.

scripts/sample_size.py · Not verified · local-tool

First run: python3 scripts/sample_size.py 0.05 0.01

Packaged helper exists, but current clean-client executable evidence is not recorded.

Classification: declared

Use when: Use when a lifecycle experiment needs statistical assumptions, stop rules, and guardrail metrics defined clearly.

Execution mode: may-run-local-verification

Approval boundary: Safe for planning; require human approval before launching lifecycle experiments or changing user journeys.

Readiness: Experimental

Security reviewed: no

Lifecycle: Active

ID: marketing/lifecycle-experiment-planner

Runtimes: codex, claude, generic

Tool dependencies: 1

API dependencies: 0

Tools: python3

APIs: Not documented