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DataHTML

A/B Test Readout

by mohitagw15856

A/B Test Readout is a Data skill for Claude Code, published by mohitagw15856 in pm-claude-skills.

1.3K stars231 forkson mohitagw15856/pm-claude-skillsAdded 2026/08/20Repository updated 2026/08/19
agent-skillsagentsai-agentsai-toolsanthropicchatgptclaudeclaude-codeclaude-skillscursordeveloper-toolsgeminillmmcpmcp-serverproduct-managementproductivityprompt-engineeringpromptsskills
Install in seconds
Install A/B Test Readout
Copy A/B Test Readout into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-readout ~/.claude/skills/ab-test-readout

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mohitagw15856/pm-claude-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/ab-test-readout/SKILL.md in mohitagw15856/pm-claude-skills
Installs to
~/.claude/skills/ab-test-readout
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What A/B Test Readout does

A/B Test Readout analyzes finished A/B test results and produces a readout with statistical and practical significance, segment cuts, and a ship/no-ship recommendation. Use it when asked to interpret experiment data, write a test readout, or decide whether to ship a variant.

A/B Test Readout is cataloged under Data on DirSkills. A/B Test Readout comes from a repository tagged agent-skills, agents, ai-agents, ai-tools and anthropic.

Documentation

README

A/B Test Readout Skill

The hard part of an experiment is the readout: not "B won" but "is this real, is it big enough to matter, and should we ship?" This skill turns results into an honest decision — and flags the ways A/B results lie.

Working from a brief

Given results (even partial), write the full readout anyway. If significance isn't provided, reason about it from the numbers and flag what's needed to confirm. Mark assumed figures. Never declare a winner without addressing significance and sample.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about A/B Test Readout

  • What else does mohitagw15856 publish alongside A/B Test Readout?

    A/B Test Readout is one of 25 skills that DirSkills catalogs from mohitagw15856/pm-claude-skills, the repository it ships in. Its siblings there include 360 Feedback Template, 401k Plan Decoder and A/B Test Planner. Each one is a separate skill with its own page in this directory, installs the same way A/B Test Readout does, and is maintained by mohitagw15856 in that same repository. The rest of the collection is listed on the mohitagw15856/pm-claude-skills page.

  • How does A/B Test Readout compare to other Data skills?

    A/B Test Readout ranks #418 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of A/B Test Readout against them. Open each page to compare what they document and how they install.

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