Content
85%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tightly written, well-structured skill body that uses tables and guardrails efficiently and routes detail to a real one-level reference. The main gap is actionability: the body offers concrete API conventions and rules but delegates executable code to references rather than including copy-paste snippets.
Suggestions
Add one small copy-paste executable snippet per major area (e.g. a minimal @capture("graph") bar-aggregation function and a vm.AgGrid dash_ag_grid factory) directly in the body so guidance is immediately runnable, not just referenced.
Show the canonical @capture("ag_grid") signature inline (with data_frame as the DataFrame argument name) instead of only describing it and linking to the dashboard-build skill.
Include a brief wrong-vs-right inline example for the most common footgun (raw vs pre-aggregated bar/line) so the rule is self-contained without loading the reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, dense tables and rules with no explanation of basic Plotly/Vizro concepts; the one inline rationale (raw px.bar stacking rows as separate rectangles) describes a genuine non-obvious footgun, not padding. | 3 / 3 |
Actionability | Gives concrete API names and explicit 'Never' rules, but the body provides pattern-level guidance and references rather than complete copy-paste executable code blocks, so it is not fully copy-paste ready. | 2 / 3 |
Workflow Clarity | A data-question→chart decision table plus 'Use when' criteria and 'Never' guardrails give an unambiguous selection flow; this is a selection/guidance skill rather than a destructive multi-step operation, so the absence of validate→fix loops is acceptable. | 3 / 3 |
Progressive Disclosure | Well-organized overview body with clearly signaled one-level-deep references to the verified references/chart-best-practices.md and a dedicated 'Deep Dive' section stating when to load it. | 3 / 3 |
Total | 11 / 12 Passed |