Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, concise overview with clean progressive disclosure to a real one-level reference file, but it leans on descriptive guidance rather than executable steps in the body itself and keeps its validation checkpoints implicit.
Suggestions
Remove the opening GDPR/Consent Mode background sentence that Claude already knows to tighten conciseness.
Surface at least one short executable gtag.js consent-default snippet in the body so the skill is copy-paste ready without opening the reference.
Make the validate-before-recommend checkpoint explicit as a numbered step (measure in DevTools/Lighthouse -> confirm bottleneck -> then fix) rather than implied across sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is short overall, but the opening paragraph explains Consent Mode/GDPR context Claude largely already knows and the Quick Reference bullets lightly duplicate the Check section, so it could be tightened rather than being fully lean. | 2 / 3 |
Actionability | It names concrete specifics ('ad_user_data', 'ad_personalization', DevTools/Lighthouse) but stops at 'Update your GTM or gtag.js implementation to support...' without executable steps in the body, deferring the actual code to the reference file. | 2 / 3 |
Workflow Clarity | A Check/Fix/Explain/Code Review sequence exists and a validation mention ('Verify the actual bottleneck... before recommending changes', 'describe the measurement method') is present, but the validation checkpoints are implicit rather than explicit ordered validate-fix-retry steps. | 2 / 3 |
Progressive Disclosure | The body is a concise overview that clearly signals a single one-level-deep reference ('see references/rule.md'), which exists and holds the detailed code and guidance, so content is appropriately split with easy navigation. | 3 / 3 |
Total | 9 / 12 Passed |