Create distinctive, production-grade frontend interfaces with intentional aesthetics, high craft, and non-generic visual identity. Use when building or styling web UIs, components, pages, dashboards, or frontend applications.
78
78%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
82%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description has a clear 'Use when...' clause with good trigger terms and covers both what and when effectively. Its main weakness is that the capability portion relies on qualitative adjectives ('distinctive', 'high craft', 'intentional aesthetics') rather than concrete actions, and the broad scope of 'frontend applications' could overlap with other web development skills.
Suggestions
Replace vague quality adjectives with specific concrete actions, e.g., 'Apply custom color palettes, typography systems, spacing scales, and visual hierarchy to frontend interfaces' instead of 'intentional aesthetics, high craft, and non-generic visual identity'.
Narrow the distinctiveness by specifying what differentiates this from a general frontend/web development skill — e.g., emphasize that this is specifically about visual design and aesthetics rather than functionality or logic.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (frontend interfaces) and some actions ('building or styling web UIs, components, pages, dashboards'), but the capability description leans heavily on adjectives ('distinctive', 'production-grade', 'intentional aesthetics', 'high craft') rather than listing concrete actions like 'apply color palettes, set typography, create layouts, implement responsive design'. | 2 / 3 |
Completeness | Clearly answers both 'what' (create distinctive, production-grade frontend interfaces with intentional aesthetics) and 'when' (explicit 'Use when building or styling web UIs, components, pages, dashboards, or frontend applications'). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'web UIs', 'components', 'pages', 'dashboards', 'frontend applications', 'styling', 'building'. These cover a good range of how users would phrase frontend design requests. | 3 / 3 |
Distinctiveness Conflict Risk | The scope is fairly broad — 'frontend applications', 'web UIs', 'components', 'dashboards' — which could overlap with general web development skills, CSS skills, or dashboard-specific skills. The emphasis on 'non-generic visual identity' and 'high craft' provides some differentiation but the trigger terms are wide enough to conflict with other frontend-related skills. | 2 / 3 |
Total | 10 / 12 Passed |
Implementation
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill has a strong creative vision and clear workflow structure with good sequencing and validation checkpoints. Its main weaknesses are the lack of concrete code examples (critical for a frontend design skill that demands 'fully executable code') and moderate verbosity that could be reduced by extracting detailed reference material into separate files. The DFII framework and operator checklist are valuable additions, but the skill would benefit significantly from at least one complete before/after code example demonstrating the aesthetic principles in practice.
Suggestions
Add at least one complete, executable HTML/CSS code example demonstrating a specific aesthetic direction (e.g., 'editorial brutalism' dashboard) to make the skill truly actionable rather than prescriptive.
Extract the DFII framework and detailed aesthetic execution rules into separate reference files (e.g., DFII.md, AESTHETIC-RULES.md) and link to them from the main skill to improve progressive disclosure and reduce token cost.
Include a concrete example of the 'Required Output Structure' (Section 6) showing what a complete design direction summary, design system snapshot, and differentiation callout look like in practice.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains some unnecessary verbosity—sections like the DFII scoring formula, the extensive anti-patterns list, and the 'Questions to Ask' section add bulk without proportional value. However, most content is structured and not padded with explanations of basic concepts Claude already knows. | 2 / 3 |
Actionability | The skill provides concrete design principles and checklists, but lacks executable code examples. For a frontend design skill, there are no actual HTML/CSS/JS snippets demonstrating the aesthetic approaches described. It instructs Claude to produce code but doesn't show what good output looks like with concrete examples. | 2 / 3 |
Workflow Clarity | The multi-step process is clearly sequenced: evaluate with DFII → define design thinking (purpose, tone, anchor) → execute with aesthetic rules → output with required structure → validate with operator checklist. The checklist at the end serves as a validation checkpoint, and the DFII scoring provides a clear go/no-go gate before implementation. | 3 / 3 |
Progressive Disclosure | The content is well-organized with numbered sections and clear headers, and Section 8 references other skills. However, the skill is quite long (~200+ lines) and could benefit from splitting detailed aesthetic execution rules or the DFII framework into separate reference files rather than inlining everything. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
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