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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.

84

1.35x
Quality

71%

Does it follow best practices?

Impact

96%

1.35x

Average score across 5 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

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

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. The emphasis on design quality and avoiding generic AI aesthetics provides a useful differentiator, though the broad scope of frontend development could potentially overlap with other coding-related skills. The description uses proper third-person voice and is well-structured.

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) and 'when' (explicit 'Use this skill when...' clause with detailed trigger scenarios including 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', 'websites', 'posters', 'artifacts', 'applications'. These are terms users naturally use when requesting frontend work.

3 / 3

Distinctiveness Conflict Risk

While it focuses on 'high design quality' and 'avoids generic AI aesthetics' as differentiators, the broad scope covering websites, dashboards, React components, and HTML/CSS could overlap with general coding skills or specific framework skills. The design-quality emphasis helps but the domain is quite wide.

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, starter templates, validation steps, and measurable quality criteria. The motivational tone adds tokens without adding instruction.

Suggestions

Add 1-2 concrete code examples showing a before (generic AI aesthetic) and after (distinctive design) to make the guidelines actionable and executable.

Include a validation checklist at the end (e.g., 'Verify: no default fonts used, CSS variables defined for theme, at least one distinctive animation, responsive breakpoints tested').

Remove motivational/inspirational language ('Don't hold back', 'Claude is capable of extraordinary creative work') that Claude doesn't need—replace with specific techniques or patterns.

Add a brief output format specification (e.g., expected file structure, whether to include inline comments explaining design choices) to clarify deliverables.

DimensionReasoningScore

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 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 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%

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
anthropics/skills
Reviewed

Table of Contents

Is this your skill?

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.