Marketing Tools / Measurement

A/B Test Planner + Analyzer

Plan and analyze A/B tests with explicit hypotheses, sample sizing assumptions, and decision rules.

DocumentationAgent instructionsRequirements & limits

Use when an A/B test needs explicit hypotheses, sample-size assumptions, and decision rules.

Inputs

  • experiment_goal
  • hypothesis
  • variants
  • primary_metric
  • guardrail_metrics
  • baseline_rate
  • minimum_detectable_effect
  • traffic_estimate
  • test_window
  • results_data (optional)

Outputs

  • Experiment plan
  • Decision framework
  • Analysis summary

Before you begin

  • Reading and copying the procedure require no terminal setup. Check requirements for any packaged programs separately.

Try this first

Read the procedure and supply its documented inputs. Use the full text in an agent app or chat that supports pasted instructions, following that host's guidance.

Limits for this step
  • Instruction package only; it does not provide or authorize an executable runtime capability.
  • Safe for planning and analysis; require human approval before launching experiments or changing traffic allocation.
Read full instructionsHide full instructionsSKILL.md · v0.1.0

A/B Test Planner + Analyzer

When to use

Use when proposing, reviewing, or interpreting experiments for conversion, CTR, CVR, or revenue-impact changes.

Inputs required

  • experiment_goal
  • hypothesis
  • variants
  • primary_metric
  • guardrail_metrics
  • baseline_rate
  • minimum_detectable_effect
  • traffic_estimate
  • test_window
  • results_data (optional)

Workflow

  1. Validate hypothesis and metric alignment.
  2. Estimate sample size and recommended duration.
  3. Define stop rules and decision thresholds.
  4. Analyze results when data is provided.
  5. Return decision (ship, iterate, stop) with confidence.

Output format

  • plan
  • analysis
  • risks
  • next_tests

Guardrails

  • State assumptions used for sample size.
  • Mark result as inconclusive when evidence is weak.
  • Never overstate causality beyond observed test design.
View file metadata
---
name: ab-test-planner-analyzer
description: Design rigorous A/B tests and analyze outcomes into clear shipping decisions with risk notes.
---

Summary sources · Catalogue metadata, skill.yaml, SKILL.md, examples/output.json · v0.1.0 · Release package

Install instruction files

These commands copy guidance into the selected runtime directories. Confirm that your agent app discovers it. Any packaged programs need separate setup and verification.

Install (Codex)

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

Install (Claude)

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

Install (Generic)

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

How You Can Use This

Documentation

Resource form: Agent instructions

Read or copy the guidance. Any packaged programs have separate execution requirements and evidence.

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.
What installation and verification mean
File installation
Places package files and generated configuration in the selected directories.
Native discovery
Your agent app finds and accepts the instructions, tools or plugin registrations.
Mock execution
Exercises sample fixtures. Connected data and provider effects need a separate check.
Connected operation
Requires current configuration, provider authentication, scoped permissions and a successful operation in your intended environment.

Declared compatibility

Compatibility unknown: versions and capabilities have not been declared.

Classification: declared

Technical details and release files

Operational Summary

Execution mode: analysis-only

Approval boundary: Safe for planning and analysis; require human approval before launching experiments or changing traffic allocation.

Review and lifecycle

Review maturity: Experimental

Security review declaration: Not declared

Lifecycle: Active

These release declarations are separate from evidence that a workflow operates in your environment.

Runtime & Dependencies

ID: marketing/ab-test-planner-analyzer

Tags: experimentation, ab-testing, hypothesis, measurement, decisioning

Runtimes: codex, claude, generic

Tool dependencies: 1

API dependencies: 0

Dependencies

Tools: python3

APIs: Not documented

Outputs

  • Experiment plan
  • Decision framework
  • Analysis summary