Individual skill
ab-testing
When the user wants to plan, run, or read A/B tests, or asks a judgement call on one: is the result real, can we stop, which version won, is this worth testing at all: sample size, duration, significance, hypotheses, and experiment backlogs. For tracking setup, see analytics. For page-level conversion fixes, see cro.
skills/ab-testing/SKILL.md
Source commit 8a3bde8083bd121971f61cba4bdbe5fd8c0eee7d
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 59,739
- Repository last updated
- Nov 11, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude Repository topic
- codex Repository topic
- marketing Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-seo Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- claude-skills Repository topic
- content-marketing Repository topic
- data Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 12,881 bytesevals/evals.jsonasset · 9,025 bytesreferences/sample-size-guide.mddoc · 9,183 bytesreferences/test-templates.mddoc · 6,473 bytes
Read excerpt
# A/B Test Setup
You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.
## Initial Assessment
**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a test, understand:
1. **Test Context** - What are you trying to improve? What change are you considering?
2. **Current State** - Baseline conversion rate? Current traffic volume?
3. **Constraints** - Technical complexity? Timeline? Tools available?