Content
96%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, token-efficient skill body with executable code, a clear multi-step workflow, and built-in validation via the screenshot loop. The only minor gap is that progressive disclosure is purely single-file with no separate reference materials to offload detail into.
Suggestions
Consider moving the extended coordinate-frame troubleshooting (named frames, SpatialInformation targeting) into a short references file linked from section 4, leaving the core decision rule inline.
The archetype-to-view mapping table could live in a reference file if it grows, keeping SKILL.md focused on the design-and-iterate workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient throughout ('this skill covers what you can't guess'); it assumes Claude's competence, never explains what Rerun/archetypes are, and every section adds non-obvious rrb-specific knowledge that earns its tokens. | 5 / 5 |
Actionability | Fully executable copy-paste-ready code for reading data, constructing a blueprint, and the screenshot loop, plus a concrete archetype-to-view mapping table covering the common cases. | 5 / 5 |
Workflow Clarity | Clear numbered sequence (Read data → Map → Group → Construct → Iterate) with an explicit screenshot feedback loop ('Render, look, revise') and a Gotchas section providing error-recovery guidance for blank views and store-identity mismatches. | 5 / 5 |
Progressive Disclosure | Well-organized single file with clearly signaled one-level 'See also' links to related skills, but all content lives inline with no file-level progressive disclosure, so it sits just below the split-across-files anchor at 5. | 4 / 5 |
Total | 19 / 20 Passed |