Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a well-structured, gate-based workflow for A/B test setup with strong validation checkpoints and clear sequencing. However, it lacks concrete examples (sample hypotheses, actual sample size calculations) and could be more concise by removing philosophical statements. The actionability would improve significantly with specific examples of good vs. bad hypotheses and concrete calculation methods.
Suggestions
Add a concrete example of a well-formed hypothesis with all required components (observation, change, expectation, audience, success criteria)
Include a sample size calculation example with actual numbers or reference a specific calculator/formula
Remove or condense the 'Final Reminder' section and philosophical statements that don't add actionable guidance
Consider splitting detailed sections (metrics definition, analysis discipline) into separate referenced files for better progressive disclosure
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some unnecessary philosophical statements ('A/B testing is not about proving ideas right') and explanatory text that Claude would already understand. The checklists and tables are appropriately concise, but sections like 'Final Reminder' add little actionable value. | 2 / 3 |
Actionability | Provides clear checklists and decision criteria, but lacks concrete examples of what a good hypothesis looks like, specific formulas for sample size calculation, or executable code/commands for tracking verification. The guidance is structured but remains somewhat abstract. | 2 / 3 |
Workflow Clarity | Excellent multi-step workflow with explicit hard gates at hypothesis lock and execution readiness. Clear sequencing from prerequisites through analysis, with explicit validation checkpoints ('Do NOT proceed until confirmed', 'Do NOT proceed without a realistic sample size estimate'). The numbered sections create unambiguous ordering. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear section headers and logical grouping, but everything is in a single monolithic file. For a skill of this length (~150 lines), some content like the detailed metrics definitions or analysis discipline could be split into referenced files for better navigation. | 2 / 3 |
Total | 9 / 12 Passed |