Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, highly actionable, and well-structured: it gives complete JSON templates, concrete commands, a clear workflow, and offloads detail to verified one-level-deep reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with Excalidraw-specific JSON details (container binding, fixedPoint coordinates, z-order, sizing) Claude does not already know, with no padding explaining what diagrams or libraries are, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It provides complete, copy-paste-ready element JSON templates and concrete commands like "python skills/diagramming/excalidraw/scripts/upload.py ~/diagrams/my_diagram.excalidraw", matching the 'fully executable code/commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | The Workflow section sequences write → save with write_file → optionally upload, and the simple-skill scoring note permits a 3 when the single task is unambiguous; diagram generation is not a destructive/batch operation requiring validation feedback loops. | 3 / 3 |
Progressive Disclosure | Detailed material is split into clearly signaled one-level-deep references ("See references/colors.md", "see references/dark-mode.md", "see references/examples.md", scripts/upload.py), all of which exist on disk, matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 12 / 12 Passed |