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.

1.35x

Quality

71%

Does it follow best practices?

Impact

96%

1.35x

Average score across 5 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.roo/skills/frontend-design/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 it does and when to use it, with rich trigger terms covering many natural user phrasings. The description effectively differentiates itself through its emphasis on design quality and avoiding generic AI aesthetics, though its broad frontend scope could still overlap with more specialized coding or framework-specific skills. The third-person voice is used correctly throughout.

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', '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, applications, 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 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 'high design quality' and 'avoids generic AI aesthetics' differentiators help but the domain is still quite broad.	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 interfaces with good anti-pattern identification (specific fonts and patterns to avoid). However, it reads more as a design philosophy manifesto than an actionable skill—it lacks concrete code examples, starter templates, or before/after demonstrations that would make it immediately executable. The motivational language and repeated emphasis on boldness consume tokens that could be better spent on practical examples.

Suggestions

Add 1-2 concrete code examples showing a distinctive HTML/CSS implementation (e.g., a hero section with the described typography, color, and animation principles applied) to dramatically improve actionability.

Replace motivational language ('Don't hold back', 'Claude is capable of extraordinary creative work') with additional actionable content—these phrases consume tokens without adding instruction value.

Add a brief quality checklist or validation step at the end (e.g., 'Before delivering: verify CSS variables are used for theming, animations have reduced-motion fallbacks, no generic fonts remain') to improve workflow clarity.

Consider creating a companion reference file with curated font pairings, color palette examples, and animation snippets that the skill can reference, rather than listing everything inline.

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 demonstrations. 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) with some structure in the design thinking section (Purpose, Tone, Constraints, Differentiation). However, there are no validation checkpoints, no explicit steps for reviewing output quality against the aesthetic criteria, and no feedback loop for iterating on the design. For a skill producing complex frontend code, a review/validation step would be valuable.	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. Given the breadth of topics covered (typography, color, motion, spatial composition, backgrounds), separate reference files for font recommendations, color palette examples, or animation patterns could improve organization. However, for a skill of this length (~60 lines), the inline approach is borderline acceptable.	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: onesixeight/IronMarket
Commit: d8f6cf2

Reviewed: 21 days ago

Table of Contents

Discovery Implementation Validation

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