Content
50%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a competent but somewhat generic CRO skill that reads more like a marketing textbook summary than a targeted instruction set for Claude. Its strengths are clear organization, logical ordering by impact, and a well-defined output format. Its weaknesses are verbosity (explaining concepts Claude likely already knows), lack of concrete/executable guidance (no templates, scoring systems, or specific analytical tools), and missing validation steps to verify recommendation quality.
Suggestions
Add a concrete evaluation template or scoring rubric (e.g., a checklist with pass/fail criteria for each dimension) to make the analysis more actionable and less subjective.
Trim explanatory content Claude already knows (e.g., what trust signals are, what common objections look like) and replace with specific decision rules or heuristics unique to this skill.
Add a validation step after generating recommendations — e.g., 'Review each recommendation against the stated conversion goal; remove any that don't directly support it.'
Move page-specific frameworks to a separate reference file (e.g., references/page-frameworks.md) to reduce the main skill's length and improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably well-structured but includes some content Claude already knows (e.g., explaining what makes a good headline, listing common objection types, explaining what trust signals are). Several sections read like a CRO textbook rather than novel instructions. Could be tightened by ~30%. | 2 / 3 |
Actionability | Provides structured checklists and specific examples (e.g., weak vs strong CTA copy), but lacks concrete executable guidance — no code, no specific tools, no templates, no scoring rubrics. Recommendations like 'check if visitor can understand within 5 seconds' are subjective without a concrete evaluation method. | 2 / 3 |
Workflow Clarity | The analysis framework provides a clear ordered sequence (7 dimensions in order of impact) and the output format is well-structured with Quick Wins / High-Impact / Test Ideas. However, there are no validation checkpoints — no step to verify recommendations against data, no feedback loop for measuring impact, and no explicit process for when analysis is ambiguous. | 2 / 3 |
Progressive Disclosure | References experiments.md and related skills, which is good structure. However, the main file is quite long (~150 lines of content) with page-specific frameworks that could be split into separate reference files. The reference to 'references/experiments.md' is good but no bundle file exists to support it, and much inline content could benefit from being externalized. | 2 / 3 |
Total | 8 / 12 Passed |