ab-test-setup-and-analysis
An AI agent skill from irinabuht12-oss/marketing-skills, scored 54 out of 100 by code.
Code score by group
It loses the most points in Procedure (15), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.
What the author says it does
Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is winning. Platform: Google and Meta.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- irinabuht12-oss/marketing-skills
- Folder
- skills/ab-test-setup-and-analysis
- License
- Not identified by GitHub
- GitHub stars
- 7,391
- SKILL.md lines
- 41
- Other files
- 0
Add ab-test-setup-and-analysis to your agent
npx skills add irinabuht12-oss/marketing-skills --skill ab-test-setup-and-analysis
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored. GitHub identifies no license for this repository, so check its terms before you use it.
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.