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.
A well-structured, highly actionable reference for the JSON Canvas format with concrete examples, explicit validation checkpoints in every workflow, and appropriate offloading of full examples to a single reference file. The only minor lever is overall length, which is justified by the spec detail but keeps conciseness at 4.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with useful, non-obvious reference material (field tables, color presets, ID format, newline pitfall) and avoids explaining concepts Claude already knows, but the full per-node-type attribute tables and layout tables make it somewhat extensive rather than lean. | 4 / 5 |
Actionability | Copy-paste-ready JSON examples cover every node type and edges, plus concrete ID-generation format, color presets, and suggested dimensions, fully covering the common cases for this data-format skill. | 5 / 5 |
Workflow Clarity | Four numbered workflows each include an explicit "**Validate**" checkpoint, a dedicated Validation Checklist section, and an error-recovery note ("If validation fails, check for duplicate IDs, dangling edge references..."), matching the score-5 anchor with feedback loops and a checklist. | 5 / 5 |
Progressive Disclosure | SKILL.md serves as a well-organized overview/spec while full canvas examples are correctly offloaded to a single one-level-deep, clearly signaled reference (references/EXAMPLES.md), with external spec links kept separate. | 5 / 5 |
Total | 19 / 20 Passed |