Content
75%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized strategy skill with a coherent 4-layer framework, a clear 9-step workflow, concrete naming conventions, and a copy-paste-ready output template, plus a properly externalized event-taxonomy reference file. It falls just short of top marks for re-explaining known concepts (AARRR, attribution model definitions), leaving audit/test steps at the 'what' level without the 'how', and providing only a single bundle reference.
Suggestions
Trim known-concept explanations: replace the per-model attribution definitions with a one-line summary each (or move the full model list into a reference file), and cut 'It works because it covers the full lifecycle' — Claude already knows AARRR and standard attribution models.
Make the workflow's validation steps actionable: for step 6, specify how to test events (e.g., a staging checklist, debug view in GA4/Mixpanel, or sample verification queries) and add an explicit fix-and-re-verify loop rather than just 'Test each event. Verify properties.'
Give the audit step (step 4) a concrete method — a checklist of what to inspect (event volume anomalies, naming consistency, missing conversion points) — instead of the rhetorical 'What's there? What's broken? What's missing?'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — skill-specific guidance like 'Verb + noun. Past tense, snake_case' and the failure-pattern list earns its tokens, but it explains concepts Claude already knows ('This is the "AARRR" or "pirate metrics" framework. It works because...') and walks through each standard attribution model definition. Not 3: the padding is minor relative to the dense, useful bulk; not 5: the attribution/AARRR explanations could be trimmed to a one-line reference. | 4 / 5 |
Actionability | Concrete guidance dominates: specific event-naming rules with examples ('signed_up', 'created_project'), a full markdown output template for the tracking plan, and a dashboard-type table. But some steps stay high-level — 'Audit existing tracking. What's there? What's broken? What's missing?' and 'Test each event. Verify properties.' give no executable method, and GA4/Mixpanel appear only as trigger words with no implementation specifics. Not 5 for those gaps; not 3 because the output template and naming conventions are directly usable. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence from 'Define the questions' to 'Govern', with a validation step present ('Implement with care. Test each event. Verify properties. Catch issues in staging'). Not 5: validation is mentioned but not as an explicit checkpoint/feedback loop (no 'fix and re-verify' retry guidance, no tooling for catching issues in staging); not 3: the sequence is coherent and a testing step is explicit. | 4 / 5 |
Progressive Disclosure | Good structure: the body is a readable overview with well-labeled sections, and the event catalog starter is correctly split into references/event-taxonomy-template.md, clearly signaled with a one-level-deep markdown link at the end (verified to exist and match its description). Not 5: only one reference is offered while sizable inline sections (per-model attribution definitions, the dashboard-type table) could also live in reference files; not 3: navigation is easy and the split that exists is appropriate. | 4 / 5 |
Total | 16 / 20 Passed |