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cro-optimization

Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B tests, audit a funnel, generate test hypotheses, design experiments, or analyze test results. Triggers on conversion optimization, CRO, A/B test, split test, multivariate test, hypothesis, conversion funnel, funnel audit, experiment design, statistical significance, lift, optimization. Also triggers when the user has a conversion problem and isn't sure where to start, or when test results are ambiguous and need interpretation.

Quality

94%

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is cro-optimization in rampstackco/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A high-quality, dense instruction skill: complete templates, a well-sequenced workflow with pre-launch checklists and decision criteria, and a clearly signaled reference library. The main improvements are trimming didactic statistics explanations Claude already knows and splitting the statistical foundations material into a reference file to slim the main body.

Suggestions

Trim explanations of concepts Claude already knows in the 'Statistical foundations' section — the definition of what 95% significance means and the basics of multiple comparisons inflate tokens without adding skill-specific value; keep the caveat about Bayesian tool output ('95% chance of being best') and the misreading warning, which are domain-specific.

Move the statistical foundations material (sample-size quick-reference table, multiple-testing notes) into a references file alongside hypothesis-library.md, keeping SKILL.md focused on the workflow, decision rules, and output format.

Scope the broadest description triggers ("hypothesis", "optimization", "lift") to conversion-specific phrasings (e.g., "conversion hypothesis", "lift estimate") to reduce overlap risk with general optimization and experimentation skills.

DimensionReasoningScore

Conciseness

The body is lean and table-driven with no padding, but a few passages explain statistics Claude already knows — "A 95% significance level means: if there were truly no difference between variants, there's only a 5% chance you'd see results this extreme by chance" and "The more variants and metrics tested simultaneously, the more false positives" — which could be trimmed. This fits anchor 4 (efficient, minor over-explanation) rather than 3, since the overwhelming bulk is dense checklists and templates.

4 / 5

Actionability

Fully actionable for an instruction-only skill: a copy-paste-ready hypothesis template with a worked example ("Because session replays show users abandoning at the shipping step..."), an ICE scoring procedure ("Score each 1 to 10"), a sample-size quick-reference table with explicit inputs, a five-outcome decision table, and a complete markdown output template covering the common cases. Stack-agnostic design is explicitly stated, justifying the absence of tool-specific commands.

5 / 5

Workflow Clarity

A 10-step sequenced workflow layered over a 4-phase framework, with explicit checkpoints: pre-launch parameter checklist ("Test parameters to define before launch"), QA checkpoint ("QA carefully (broken variants invalidate tests)"), run discipline ("Don't peek. Don't stop early"), and a decision framework covering all five outcome branches including feedback loops for inconclusive results ("Larger test, different angle, or move on").

5 / 5

Progressive Disclosure

Good structure with one clearly signaled one-level-deep reference (references/hypothesis-library.md — verified real, relevant, and non-nested) and well-organized sections. However, at ~270 lines with only one reference file, inline material such as the statistical foundations section (sample-size table, multiple-testing notes) is reference-grade content kept in the main body — minor organization gaps fitting anchor 4 rather than the fully-split structure of anchor 5.

4 / 5

Total

18

/

20

Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with explicit what-and-when structure, comprehensive natural trigger terms including synonyms, and concrete action coverage of the entire optimization lifecycle. The only weakness is a few overly broad standalone trigger words ("hypothesis", "optimization", "lift") that create minor conflict risk with other optimization-related skills.

DimensionReasoningScore

Specificity

The description lists five concrete actions spanning the full CRO lifecycle — "audit, hypothesis generation, test design, statistical analysis, and rollout decisions" — which matches the comprehensive-coverage anchor; there are no gaps in the action list that would drop it to 4.

5 / 5

Completeness

It explicitly answers both "what" (the five-action description) and "when" ("Use this skill whenever the user wants to optimize conversion, run A/B tests, audit a funnel, generate test hypotheses, design experiments, or analyze test results"), with an extra explicit trigger clause for ambiguous-result situations.

5 / 5

Trigger Term Quality

Triggers include comprehensive natural terms and synonyms: "conversion optimization, CRO, A/B test, split test, multivariate test, hypothesis, conversion funnel, funnel audit, experiment design, statistical significance, lift, optimization" — covering the abbreviation (CRO), common variants (A/B, split, multivariate), and phrases users would naturally say.

5 / 5

Distinctiveness Conflict Risk

The core triggers (CRO, A/B test, conversion funnel, funnel audit) establish a clear niche, but the standalone trailing triggers "hypothesis", "optimization", and "lift" are broad and could match general optimization or experimentation skills — minor overlap risk with closely related skills, fitting anchor 4 better than the minimal-conflict anchor 5.

4 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

rampstackco/claude-skills

Path

dist/codex/.agents/skills/cro-optimization/SKILL.md

Reviewed

Table of Contents

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