optimization.experiment_analysis
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
npx skills add majiayu000/claude-skill-registry --skill experiment-analysis-edwardmonteiro-aiskillinpractice-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Purpose Accelerate experiment readouts by combining statistical rigor with storytelling tailored to executive stakeholders. # Pre-run Checklist - ✅ Export experiment results (variant metrics, significance, sample sizes). - ✅ Gather qualitative feedback or session notes if applicable. - ✅ Align on rollout decisions pending the analysis. # Invocation Guidance ```bash codex run --skill optimization.experiment_analysis \ --input data/{{experiment_name}}-results.csv \ --vars "experiment_name={{experiment_name}}" \ "primary_metric={{primary_metric}}" \ "secondary_metrics={{secondary_metrics}}" \ "audience={{audience}}" ``` # Recommended Input Attachments - Experiment tracking sheet or stats engine export. - Screenshots of variants. - Customer feedback related to the experiment. # Claude Workflow Outline 1. Summarize experiment purpose, setup, and success criteria. 2. Present results for primary and secondary metrics with statistical significance. 3. Interpret findings, including customer behavior shifts and operational considerations. 4. Recommend decisions (ship, iterate, stop) with supporting rationale. 5. Highlight next steps, follow-up analyses, and knowledge base updates. # Output
codex run --skill optimization.experiment_analysis \
What does the optimization.experiment_analysis skill do?
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill experiment-analysis-edwardmonteiro-aiskillinpractice-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.