design-frontend

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

Quality

71%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/design-frontend/SKILL.md

Quality

Discovery

92%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly communicates both what the skill does and when to use it, with rich trigger terms covering many natural user phrasings. Its main weakness is the broad scope of frontend development, which could overlap with other coding or component-specific skills. The design quality emphasis ('production-grade', 'avoids generic AI aesthetics') helps differentiate it but may not be sufficient in a large skill library.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions and outputs: 'web components, pages, artifacts, posters, applications' with further examples like 'websites, landing pages, dashboards, React components, HTML/CSS layouts'. Also specifies the quality dimension: 'production-grade', 'high design quality', 'avoids generic AI aesthetics'.	3 / 3
Completeness	Clearly answers both 'what' (create distinctive, production-grade frontend interfaces) and 'when' (explicit 'Use this skill when...' clause with detailed trigger scenarios including building web components, pages, applications, styling/beautifying web UI).	3 / 3
Trigger Term Quality	Excellent coverage of natural terms users would say: 'web components', 'pages', 'artifacts', 'posters', 'applications', 'websites', 'landing pages', 'dashboards', 'React components', 'HTML/CSS layouts', 'styling', 'beautifying', 'web UI'. These are terms users would naturally use when requesting frontend work.	3 / 3
Distinctiveness Conflict Risk	While it focuses on frontend/UI with a design quality emphasis, the broad scope ('web components, pages, applications, React components, HTML/CSS') could overlap with general coding skills or React-specific skills. The distinguishing factor is the design quality emphasis ('avoids generic AI aesthetics', 'polished'), but this niche could still conflict with other frontend or design skills.	2 / 3
	Total	11 / 12 Passed

Implementation

50%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill provides a strong conceptual framework for creating distinctive frontend designs and clearly articulates what to avoid (generic AI aesthetics). However, it reads more as a design philosophy manifesto than an actionable skill — it lacks concrete code examples, executable templates, validation steps, and measurable quality criteria. The motivational tone adds tokens without adding instruction.

Suggestions

Add 1-2 concrete before/after code examples showing a generic component transformed into a distinctive one following the skill's principles (e.g., a card component with specific CSS demonstrating the typography, color, and spatial composition guidelines).

Add explicit validation/quality checklist steps: e.g., 'Verify: no default fonts used, CSS variables defined for all colors, at least one animation/transition present, layout uses at least one non-standard composition technique'.

Remove motivational language ('Don't hold back', 'Claude is capable of extraordinary creative work') and redundant emphasis on avoiding generic aesthetics — state the anti-patterns once in a concise list.

Consider adding a reference file with curated font pairings, color palette examples, and animation patterns to support the guidelines with concrete, copy-paste-ready resources.

Dimension	Reasoning	Score
Conciseness	The skill contains some unnecessary motivational language ('Claude is capable of extraordinary creative work', 'Don't hold back') and repetitive emphasis on avoiding generic aesthetics (stated multiple times). The design thinking section and aesthetics guidelines are mostly useful but could be tightened. Some phrases like 'There are so many flavors to choose from' add no value.	2 / 3
Actionability	The skill provides concrete design principles and specific anti-patterns to avoid (named fonts, color schemes), but lacks any executable code examples, starter templates, or concrete output formats. For a frontend skill, showing even one example of a well-structured HTML/CSS snippet with the described aesthetic principles applied would significantly improve actionability.	2 / 3
Workflow Clarity	There is a loose two-phase workflow (design thinking → implementation), but no explicit validation steps, no checklist for quality assurance, and no feedback loop for iterating on the design. For a skill that produces production-grade code, there should be steps like 'verify accessibility', 'test responsiveness', or 'validate against the chosen aesthetic direction'.	2 / 3
Progressive Disclosure	The content is organized into clear sections (Design Thinking, Frontend Aesthetics Guidelines) which is good, but everything is inline in a single file with no references to supporting materials. A skill of this scope could benefit from separate files for font pairing examples, color palette references, or animation pattern libraries. However, for a standalone skill without bundle files, the organization is adequate.	2 / 3
	Total	8 / 12 Passed

Validation

100%

Warnings & errors only

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.

Repository: ucdavis/ai-skills-registry
Commit: c0b2e4b

Reviewed: about 14 hours ago

Table of Contents

Discovery Implementation Validation

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