Content
63%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.
The body is well-structured and highly actionable, with a clear step-by-step workflow, copy-paste commands, lookup tables, and a delivery checklist. Its weaknesses are redundancy (duplicated rules/checklist content and an unnecessary Python-install section), internal inconsistency with the frontmatter counts, and a broken reference layer — the data CSVs the whole search scheme depends on are missing from the bundle.
Suggestions
Ship the data/ directory (all domain and stack CSVs plus ui-reasoning.csv) or document that it must be fetched separately, since every command in the skill depends on it.
Merge the overlapping 'Common Rules for Professional UI' and 'Pre-Delivery Checklist' sections into one reference file (or a single checklist), and drop the Python installation instructions — Claude already knows how to check for and install Python.
Fix the asset-count mismatch with the description (67 vs 50 styles, 96 vs 21 palettes) so the skill's own numbers agree.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly dense and useful (command tables, domain/stack mappings), but the Prerequisites section re-explains checking and installing Python — something Claude already knows — and the 'Common Rules for Professional UI' and 'Pre-Delivery Checklist' sections overlap heavily (emoji icons, cursor-pointer, hover feedback, and contrast each appear twice). This matches anchor 3 (mostly efficient but with unnecessary explanations and tightening opportunities) rather than anchor 4. | 3 / 5 |
Actionability | Guidance is concrete and copy-paste ready: exact commands with flags ('python3 skills/ui-ux-pro-max/scripts/search.py "beauty spa wellness service" --design-system -p "Serenity Spa"'), a needs-to-domain lookup table, and a fully worked example workflow. Not a 5 because the referenced data files (data/*.csv per core.py and 'ui-reasoning.csv') are absent from the bundle, so the commands as shipped would fail without them. | 4 / 5 |
Workflow Clarity | The workflow is clearly sequenced (analyze requirements → generate design system → supplement with domain searches → stack guidelines) with an explicit worked example and a Pre-Delivery Checklist acting as a final validation checkpoint. Not a 5 because there are no feedback loops for error recovery (e.g. what to do when a search returns no matches beyond 'try different keywords'). | 4 / 5 |
Progressive Disclosure | The on-demand search-script pattern is good progressive disclosure in principle, but judged against the actual bundle the referenced paths do not resolve: core.py expects a data/ directory of CSVs and the body cites 'ui-reasoning.csv', none of which are present, so navigation is broken at the top level. Additionally, ~80 lines of 'Common Rules' and 'Pre-Delivery Checklist' are inlined in SKILL.md where they belong in a reference file. This fits anchor 3 (some structure, could be better organized) better than anchor 4. | 3 / 5 |
Total | 14 / 20 Passed |