Content
92%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.
An excellent, executable skill body: complete code per chart family, explicit validation gates, and well-structured progressive disclosure to verified reference files. The only improvement is trimming the light narrative/doc-pointer lead-ins for maximal token efficiency.
Suggestions
Tighten the opening 'Overview' paragraph and remove 'Per the [docs]' lead-ins before each family section to push conciseness toward 5.
The canvas/D3/Vega sections each restate the library's rendering model ('Chart.js renders to <canvas>') — consider folding these into the family table once rather than repeating per section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean with no concept padding and compact tables/code, but the opening narrative paragraph ('Chart regressions hide behind green unit tests...') and the recurring 'Per the [docs]' lead-ins are minor trimmable throat-clearing that keep it just shy of fully efficient. | 4 / 5 |
Actionability | Provides copy-paste-ready, executable guidance throughout — real jq/grep detection commands, a complete Playwright canvas-snapshot test, a normalizeSvg() + structural-snapshot test, and a full Ajv + Vega-Lite compile test — covering the common cases per family. | 5 / 5 |
Workflow Clarity | Clear sequence (detect family → apply matching recipe → per-family gates) with explicit validation checkpoints (disable animation + pin DPR + waitForFunction; the three labeled Vega gates) and an Anti-patterns table serving as an error-recovery checklist. | 5 / 5 |
Progressive Disclosure | SKILL.md is a true overview with one-level-deep, consistently signaled references (all six referenced files verified present), keeping detail in references and the body navigable. | 5 / 5 |
Total | 19 / 20 Passed |