Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context.
76
69%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/frontend-design/SKILL.mdQuality
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 does a solid job of answering both 'what' and 'when' with an explicit 'Use when...' clause and includes several natural trigger terms. However, the specific capabilities listed are somewhat abstract ('distinctive, production-grade frontend interfaces') rather than concrete actions, and the broad scope could cause overlap with other frontend or coding skills. The differentiator of avoiding 'generic AI aesthetics' is interesting but the catch-all clause about 'any design skill requires project context' weakens distinctiveness.
Suggestions
List more concrete specific actions (e.g., 'create responsive layouts, style with CSS animations, build interactive dashboards') instead of abstract quality descriptors like 'distinctive' and 'production-grade'.
Narrow or clarify the catch-all trigger 'or when any design skill requires project context' to reduce conflict risk with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (frontend interfaces) and some actions ('generates creative, polished code'), but the specific actions are not very concrete—'distinctive, production-grade frontend interfaces' is somewhat vague and doesn't list specific capabilities like 'create responsive layouts, style components, build navigation bars'. | 2 / 3 |
Completeness | Clearly answers both what ('Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics') and when ('Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context'). | 3 / 3 |
Trigger Term Quality | Includes good natural trigger terms users would say: 'web components', 'pages', 'artifacts', 'posters', 'applications', 'design', 'build'. These cover a reasonable range of how users would phrase frontend design requests. | 3 / 3 |
Distinctiveness Conflict Risk | While it emphasizes 'high design quality' and 'avoids generic AI aesthetics' as differentiators, the scope is quite broad ('web components, pages, artifacts, posters, or applications') and could easily overlap with general frontend/coding skills. The phrase 'or when any design skill requires project context' is particularly broad and could cause conflicts. | 2 / 3 |
Total | 10 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured design skill with excellent progressive disclosure and strong aesthetic guidelines. Its main weaknesses are the lack of executable code examples (CSS snippets, component templates) and the absence of a clear step-by-step implementation workflow with validation checkpoints. The DO/DON'T lists are highly specific and valuable, but the skill reads more as a design philosophy document than an actionable implementation guide.
Suggestions
Add concrete, executable code examples—CSS snippets for fluid typography with clamp(), OKLCH color palette setup, grid-template-rows animation patterns—to make the guidelines immediately actionable rather than purely descriptive.
Structure the implementation process as a numbered workflow with explicit checkpoints, e.g.: 1. Gather context → 2. Choose aesthetic direction → 3. Define palette/typography → 4. Implement layout → 5. Review against AI Slop Test → 6. Refine details.
Trim motivational statements like 'Claude is capable of extraordinary creative work' and 'Don't hold back'—these waste tokens on encouragement Claude doesn't need.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly well-organized and most content earns its place, but there's some verbosity in motivational/philosophical statements ('Claude is capable of extraordinary creative work', 'Remember...') and some redundancy between the AI Slop Test section and the DON'T lists. The context gathering protocol is somewhat over-explained for Claude's capabilities. | 2 / 3 |
Actionability | The skill provides extensive DO/DON'T guidelines which are concrete and specific, but lacks executable code examples. For a frontend design skill, there are no CSS snippets, no component templates, no concrete code patterns—just descriptive guidance. References to external files (typography.md, color-and-contrast.md, etc.) may contain the executable details, but the main skill body stays at the directive level. | 2 / 3 |
Workflow Clarity | The context gathering protocol has a clear 3-step sequence, which is good. However, the actual design/implementation workflow is not sequenced—it's a collection of guidelines without a clear order of operations. There's no validation checkpoint (e.g., 'review against the AI Slop Test before delivering') integrated into a step-by-step process, and the AI Slop Test is presented as a standalone section rather than an explicit checkpoint in a workflow. | 2 / 3 |
Progressive Disclosure | Excellent use of progressive disclosure with clear references to detailed sub-files (typography.md, color-and-contrast.md, spatial-design.md, motion-design.md, interaction-design.md, responsive-design.md, ux-writing.md). Each section provides a concise overview with a one-level-deep pointer to the reference material. Navigation is well-signaled with arrow notation. | 3 / 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.
3a4fc70
Table of Contents
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