Content
71%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, actionable skill body that sequences its workflow clearly and delegates detail to a single one-level-deep reference. The main weakness is token redundancy from the duplicated worked example and a verbose cross-discipline paragraph.
Suggestions
Remove the inlined $30K skincare worked example from the body or the duplicate from references/templates.md — keep it in one place to avoid token redundancy.
Tighten the cross-discipline ad-spend paragraph; the dense chain of sibling-skill references could become a compact bullet list.
Add an explicit validate→re-run checkpoint (e.g. 'if the allocation does not sum to 100%, rebalance before projecting ROI') to close the feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient structured pointers, but the full $30K skincare worked example is inlined in the body and duplicated in references/templates.md, and the cross-discipline ad-spend paragraph is dense with chained sibling-skill references. | 3 / 5 |
Actionability | Seven numbered steps each map to concrete fill-in template sections with anchors, plus a copy-paste-ready example output and specified save paths; minor gaps because the actual benchmark tables and formulas live in the referenced file. | 4 / 5 |
Workflow Clarity | Clear 7-step sequence with explicit 'Done when' validation gates (sum to 100% with contingency, metric labeling, named recommended scenario), but no explicit validate→fix→retry feedback loop for error recovery. | 4 / 5 |
Progressive Disclosure | Overview body points to one-level-deep references/templates.md with well-signaled section anchors; the bundle file exists and every referenced path resolves correctly. | 5 / 5 |
Total | 16 / 20 Passed |