Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, domain-specific analytics skill with strong actionability — the naming conventions, tracking plan template, and metric types are concrete and immediately usable. Its main weaknesses are the lack of an explicit step-by-step workflow with validation checkpoints (especially important for PII checks and naming validation), and moderate verbosity in framing sections that could be trimmed. The referenced policy/template files are not available in the bundle, limiting progressive disclosure evaluation.
Suggestions
Add an explicit numbered workflow (e.g., 1. Define objective → 2. Map user flow → 3. Draft tracking plan → 4. Validate naming against convention → 5. PII audit → 6. Confirm north-star + guardrail → 7. Handoff) with validation checkpoints at steps 4 and 5.
Trim or remove the 'Frameworks uteis' section — Claude already knows AARRR and HEART; a one-line reference with a link would suffice.
Remove the introductory metaphor sentence and the 'Governanca Global' section's file listing (or collapse to a single line) to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient with good use of tables and examples, but includes some unnecessary framing ('Uma feature sem medicao e uma aposta sem placar') and sections like 'Quando Nao Usar' that are somewhat verbose. The governance references section adds tokens without much actionable value. Some explanations (like what AARRR stands for) are things Claude already knows. | 2 / 3 |
Actionability | Highly actionable: provides a concrete naming convention with good/bad examples and rationale, a copy-paste-ready tracking plan table format, specific rules for server-side vs client-side events, and clear anti-patterns. The funnel visualization with percentages is a practical template Claude can directly apply. | 3 / 3 |
Workflow Clarity | The skill defines clear inputs, outputs, and evidence of completion, and the logical flow from naming → tracking plan → funnel → metrics is implicit. However, there's no explicit step-by-step workflow sequence with validation checkpoints. For a skill involving data instrumentation where mistakes (wrong naming, PII leaks) are costly, the lack of a numbered process with verification gates is a gap. | 2 / 3 |
Progressive Disclosure | References to external files like `GLOBAL.md`, `policies/execution.md`, `templates/analytics-plan.md` etc. are mentioned but none are provided in the bundle, making it impossible to verify they exist or are useful. The content itself is well-sectioned with clear headers, but some content (like the full frameworks section) could be split into a reference file to keep the main skill leaner. | 2 / 3 |
Total | 9 / 12 Passed |