Content
93%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.
The body is concise, highly actionable with copy-paste-ready JSON examples, and well-structured for a single-purpose skill. It lacks explicit validation checkpoints after edits, which caps workflow_clarity slightly below maximum.
Suggestions
Add a brief verification step after applying an axis format (e.g., confirm the rendered label matches the expected unit, or re-read the insight to verify the field persisted) to strengthen workflow_clarity.
For the 'Updating an existing insight' section, include a concrete one-line example of a before/after insight-update payload to make the fix copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, assumption-respecting prose; no padding or explanations of concepts Claude already knows. Tables and code blocks are tight and every line earns its place (e.g., the anti-pattern list and format table). | 5 / 5 |
Actionability | Fully executable JSON snippets for TrendsQuery and DataVisualizationNode, copy-paste ready, covering latency, session length, revenue, fixed-currency, and conversion-rate cases with specific field values. | 5 / 5 |
Workflow Clarity | Sequences are clear (pick a format, then handle seconds-defaulting, then SQL, then updating existing insights) with guidance on the one-shot/no-user path, but there are no explicit validation/verification checkpoints after applying a format. | 4 / 5 |
Progressive Disclosure | Single self-contained SKILL.md under 50 lines-equivalent of guidance, well-organized with clear section headers; no bundle files exist and none are needed, so the simple-skill exception applies. | 5 / 5 |
Total | 19 / 20 Passed |