Content
78%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 content is highly actionable with comprehensive executable examples and excellent progressive disclosure via real reference files, but it is longer than necessary and explains some fundamentals Claude already knows.
Suggestions
Trim or relocate basic conceptual explanations (long-form vs wide-form data, palette type descriptions) into the reference files to reduce token load in SKILL.md.
Add a brief 'pick a plot by data shape' decision workflow with an explicit checkpoint (e.g. 'if variables are both continuous, use scatterplot; if aggregation is needed, use lineplot with errorbar').
Consolidate the per-category 'Key parameters' lists into the function_reference.md file, keeping only the most-used parameters inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly an efficient function catalog with runnable examples, but it is long and explains some basics Claude already knows (e.g. long-form vs wide-form data, palette descriptions) that could be trimmed or moved to references. | 3 / 5 |
Actionability | Abundant copy-paste-ready, executable code blocks cover the common cases across every plot category, grids, theming, and troubleshooting, with specific parameters and concrete examples. | 5 / 5 |
Workflow Clarity | Plotting is non-destructive so heavy validation is not required; the 'Choose the Right Plot Type' decision table and 'When to use' guidance provide a clear selection sequence, though there is no explicit multi-step workflow with checkpoints. | 4 / 5 |
Progressive Disclosure | The body is a clear overview with well-signaled, one-level-deep references to real bundle files (function_reference.md, objects_interface.md, examples.md) listed in a Resources section, keeping detailed material out of the main file. | 5 / 5 |
Total | 17 / 20 Passed |