# Conversion Experiment Lab

Turn page observations into a conversion experiment backlog, control/variant copy, nested-cohort metrics and a tracking contract. Work from evidence, define one change and hand off a measurable experiment. Original Skillrove workflow.

Canonical page: https://skillrove.dev/skills/conversion-experiment-lab
Version: 1.0.0
Package price: USD 4.99 per individual package
Installation hosts: Codex, Claude Code, Cursor
Output: An evidence-led experiment plan

## What it does

- Connect page observations to a prioritized experiment backlog.
- Compare nested-cohort counts, conditional rates and stage drop-offs.
- Hand off one-change variants, tracking contracts, guardrails and rollback decisions.

Best suited to: Teams planning measurable conversion experiments from reviewed evidence.

Scope limits: Does not run an A/B test or turn missing measurements into known results.

## Documented deliverables and requirements

- index.html
- plan.json
- experiments.csv
- tracking-plan.json
- copy-variants.md
- handoff.md
- delivery-manifest.json

Runtime requirements: Python 3.10+ · offline

Working example: https://skillrove.dev/skillrove/samples/conversion-experiment-lab/v1.0.0/index.html

Python 3.10+ standard library only, offline. The generator does not connect analytics, activate variants or prove conversion uplift. Review the actual cohort, consent, design and stopping rule before implementing an experiment.

## Questions before installation

### How do I get Conversion Experiment Lab?

The listed individual package price is USD 4.99. Premium downloads require a confirmed purchase or active membership. Your agent subscription, model access and external provider credits are separate.

- [Compare access and pricing](https://skillrove.dev/pricing)

### Which agents can use this skill?

This release lists Codex, Claude Code, Cursor as intended installation hosts. Check the package’s dependencies and permissions before running it. These labels do not certify that every workflow has been tested in every agent.

- [Codex setup](https://skillrove.dev/skills/agent/codex)
- [Claude Code setup](https://skillrove.dev/skills/agent/claude-code)
- [Cursor setup](https://skillrove.dev/skills/agent/cursor)

### What files can this workflow generate?

The documented 1.0.0 workflow lists: index.html; plan.json; experiments.csv; tracking-plan.json; copy-variants.md; handoff.md; delivery-manifest.json. Some files or exports are optional; follow the package’s setup and inspect the delivered result.

- [Review all deliverables](https://skillrove.dev/skills/conversion-experiment-lab#skill-what-you-get)
- [Inspect the working example](https://skillrove.dev/skillrove/samples/conversion-experiment-lab/v1.0.0/index.html)

### What should I check before using the result?

Python 3.10+ standard library only, offline. The generator does not connect analytics, activate variants or prove conversion uplift. Review the actual cohort, consent, design and stopping rule before implementing an experiment.

- [Read the installation guide](https://skillrove.dev/guides/how-to-install-a-claude-skill)
- [Review third-party notices](https://skillrove.dev/third-party-notices)

## Source and access

These facts come from the public Skillrove catalog and the documented active release. Agent labels describe intended installation hosts, not certification across every model. Package licenses apply; model accounts, provider credits and credentials are separate. Public facts do not grant download access.

[Installation guide](https://skillrove.dev/install/agent.md) · [Support](https://skillrove.dev/contact)