Content
86%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 lean, well-organized skill body with executable quick-start code in two flavors. Its main weakness is a promise of layer-specific field guidance that the 'Common layers' section doesn't deliver, leaving the layer coverage as names only.
Suggestions
Back up the workflow's 'layer-specific fields' step: in 'Common layers to mention', add the accessor method for each (e.g., `.arcsData()`, `.polygonsData()`, `.labelsData()`) so the guidance is executable per layer.
Add one short example showing a second data layer (e.g., arcs) layered onto the quick-start snippet to demonstrate the field pattern end-to-end.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient — opens directly into a workflow and two copy-paste snippets with no padding about what WebGL/ThreeJS or the library is, and every section earns its place, matching the anchor-5 example. | 5 / 5 |
Actionability | Provides concrete, copy-paste-ready quick-start code in both ESM and CDN forms, but the layer-specific field guidance promised in the workflow ('the layer-specific fields') is not actually delivered — 'Common layers to mention' only names layer types without their accessor methods, a moderate gap that keeps it below 5. | 4 / 5 |
Workflow Clarity | A clear four-step response sequence with decision-based checkpoints ('only if requested') is present; this advisory, non-destructive skill needs no validation loop, but the steps are response-strategy rather than a process with feedback checkpoints, so it fits anchor 4 rather than 5. | 4 / 5 |
Progressive Disclosure | Under 50 lines with no external references needed and six well-organized section headers, satisfying the rubric's simple-skill exception that allows a 5 with just well-organized sections. | 5 / 5 |
Total | 18 / 20 Passed |