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frontend-design

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.

78

1.11x
Quality

67%

Does it follow best practices?

Impact

98%

1.11x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./data/1-frontend-design/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

42%

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 aesthetic philosophy and clear anti-patterns to avoid, which is valuable for steering Claude away from generic designs. However, it critically lacks actionable, executable code examples—the core deliverable of a frontend design skill. The guidance remains at the level of design direction rather than concrete implementation, making it more of a style guide than an actionable skill.

Suggestions

Add at least one complete, executable code example (e.g., a small HTML/CSS component or React component) demonstrating the aesthetic principles in practice, showing what 'good' output looks like.

Include a concrete workflow with numbered steps: e.g., 1) Identify purpose/audience, 2) Choose aesthetic direction, 3) Select specific fonts/colors/spacing, 4) Implement component, 5) Review against anti-pattern checklist.

Replace the bullet-point examples section with actual code snippets showing the difference between a 'generic AI' implementation and a 'distinctive' implementation of the same component.

Add a validation checklist that Claude can use to self-review generated designs against the critical rules before presenting output.

DimensionReasoningScore

Conciseness

The skill contains some unnecessary verbosity—the 'When to Use This Skill' section largely repeats the description, and the design philosophy section lists aesthetic directions that Claude already understands. The critical rules section with ❌/✅ formatting is reasonably efficient but could be tighter.

2 / 3

Actionability

The skill provides no executable code, no concrete commands, and no copy-paste-ready examples. The 'Examples' section describes aesthetics in bullet points rather than showing actual implementation code. For a frontend design skill, the absence of any HTML, CSS, or React code snippets is a significant gap—it describes rather than instructs.

1 / 3

Workflow Clarity

There is an implicit workflow (understand context → choose aesthetic direction → implement), but it lacks explicit sequencing, numbered steps, or validation checkpoints. There's no guidance on how to verify the output meets quality standards or how to iterate on designs that don't meet the aesthetic vision.

2 / 3

Progressive Disclosure

For a standalone skill with no bundle files, the content is well-organized into clear sections (When to Use, Design Philosophy, Critical Rules, Implementation Guidelines, Examples) with appropriate length. No deeply nested references or monolithic walls of text.

3 / 3

Total

8

/

12

Passed

Description

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 it does and when to use it, with rich trigger terms covering many natural user phrasings. The main weakness is its broad scope across all frontend development, which could create overlap with more specialized skills. The quality-focused differentiator ('production-grade', 'avoids generic AI aesthetics') is a nice touch that helps distinguish it from generic coding skills.

DimensionReasoningScore

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', 'polished code and UI design', 'avoids generic AI aesthetics'.

3 / 3

Completeness

Clearly answers both 'what' (create distinctive, production-grade frontend interfaces with high design quality, generates creative polished code) and 'when' (explicit 'Use this skill when...' clause with specific trigger scenarios like building web components, pages, dashboards, styling/beautifying web UI).

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'web components', 'pages', 'landing pages', 'dashboards', 'React components', 'HTML/CSS layouts', 'styling', 'beautifying', 'web UI', 'posters', 'artifacts', 'applications', 'websites'. These are terms users naturally use when requesting frontend work.

3 / 3

Distinctiveness Conflict Risk

While it focuses on frontend/UI with a design quality emphasis, the scope is quite broad ('web components, pages, applications, dashboards') which could overlap with general coding skills, React-specific skills, or dashboard-building skills. The 'high design quality' and 'avoids generic AI aesthetics' differentiators help but the domain coverage is wide enough to risk conflicts.

2 / 3

Total

11

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
majiayu000/claude-skill-registry-data
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.