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creating-experiments

Skill

Guides agents through the 3-step experiment creation flow: defining the hypothesis, configuring rollout, and setting up analytics. Delegates rollout decisions to configuring-experiment-rollout and metric setup to configuring-experiment-analytics.\nTRIGGER when: user asks to create a new experiment o

0Analytics

Install

git clone https://github.com/PostHog/ai-plugin.git ~/.claude/skills/creating-experiments

What is creating-experiments?

Guides agents through the 3-step experiment creation flow: defining the hypothesis, configuring rollout, and setting up analytics. Delegates rollout decisions to configuring-experiment-rollout and metric setup to configuring-experiment-analytics.\nTRIGGER when: user asks to create a new experiment or A/B test, OR when you are about to call experiment-create.\nDO NOT TRIGGER when: user is updating an existing experiment, managing lifecycle, or only browsing experiments.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~118 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

Creating experiments

This skill walks through the 3-step flow for creating a new A/B test experiment.

Core principle: draft first, iterate on details

Create the experiment as a draft quickly, then iterate on metrics and configuration. The user gets a tangible draft immediately and can refine it.

The 3-step creation flow

Step 1: What are we testing?

Gather these before calling experiment-create:

  • Experiment name — descriptive, inferred from context when possible
  • Hypothesis — what you expect to happen (goes in description)

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