Generate and prioritize A/B test hypotheses using the ICE framework.
npx skills add https://github.com/valentinyeo/claude-cro --skill cro-testing
Please help me install this Agent Skill. Skill: cro-testing Source: https://github.com/valentinyeo/claude-cro/tree/main/skills/cro-testing Command: npx skills add https://github.com/valentinyeo/claude-cro --skill cro-testing
This Skill helps you identify and prioritize A/B testing opportunities for your website to improve conversion rates, turning data-driven insights into actionable experiments.
Use the cro-testing skill to generate A/B test hypotheses for https://example.com.
High-intent search queries and answers about installing and using this skill.
You can generate A/B test hypotheses for conversion rate optimization by analyzing web pages against CRO best practices. This process creates specific, measurable testing opportunities and structured hypothesis formats to guide your experiments.
Prioritize A/B tests using the ICE framework by scoring hypotheses based on Impact, Confidence, and Ease. This ranking method highlights high-ROI experiments, ensuring you focus on tests with the greatest potential value and implementation feasibility.
Yes, you can automatically generate detailed test briefs for CRO experiments. These briefs translate prioritized hypotheses into actionable implementation instructions for development and testing teams to execute the A/B tests.
The best way to sequence conversion rate optimization tests is by using ICE scores to prioritize high-impact, high-confidence opportunities. This approach provides guidance on test sequencing and analysis to systematically improve website conversion rates.
You do not need web analytics data to start generating A/B testing hypotheses. The process analyzes pages directly against CRO best practices to identify conversion opportunities, score them using the ICE framework, and produce test briefs.
Analyzing pages against CRO best practices identifies testing opportunities by evaluating elements like CTA button copy against established standards. It uncovers specific areas for improvement and generates structured hypotheses to test variations for better conversions.
pikkujsAnalyzes marketing pages and produces prioritized CRO audit recommendations with test ideas and implementation paths.
spandiosAnalyze A/B test results for statistical significance and actionable recommendations.
Exia-thdAudit conversion funnels and generate CRO recommendations and experiment designs.
dxprManage reinforcement learning A/B tests via Drush CLI commands.
