frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Quality

58%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

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

Quality

Discovery

67%

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 has a clear structure with explicit 'Use when' guidance, which is a strength. However, it lacks specific concrete actions beyond 'generates code' and misses many natural trigger terms users would employ when requesting frontend work. The distinctiveness relies on qualitative claims ('high design quality', 'polished') rather than concrete differentiators.

Suggestions

Add more specific concrete actions like 'create responsive layouts, implement animations, design forms, build navigation menus' to improve specificity.

Expand trigger terms to include common variations: 'UI', 'website', 'HTML/CSS', 'landing page', 'dashboard', 'React component', '.html files'.

Dimension	Reasoning	Score
Specificity	Names the domain (frontend interfaces) and mentions some actions (build web components, pages, applications, generates code), but lacks comprehensive specific actions like 'create responsive layouts, implement animations, style forms'.	2 / 3
Completeness	Clearly answers both what ('Create distinctive, production-grade frontend interfaces') and when ('Use this skill when the user asks to build web components, pages, or applications') with explicit trigger guidance.	3 / 3
Trigger Term Quality	Includes some relevant keywords ('web components', 'pages', 'applications', 'frontend') but misses common variations users would say like 'UI', 'website', 'HTML', 'CSS', 'React', 'landing page', or 'dashboard'.	2 / 3
Distinctiveness Conflict Risk	The focus on 'high design quality' and avoiding 'generic AI aesthetics' provides some distinction, but 'web components, pages, or applications' could overlap with general coding skills or other frontend-related skills.	2 / 3
	Total	9 / 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 strong conceptual direction for creating distinctive frontend interfaces with clear aesthetic principles and anti-patterns to avoid. However, it lacks concrete code examples demonstrating the techniques described, which limits actionability. The content would benefit from executable snippets showing typography pairing, animation patterns, or color system implementation.

Suggestions

Add 2-3 concrete code examples showing implementation of key techniques (e.g., a CSS animation pattern, a typography pairing setup, or a color variable system)

Include a validation checklist or quality criteria to verify the output meets the aesthetic standards described

Consider splitting the detailed aesthetic guidelines into a separate AESTHETICS.md reference file, keeping SKILL.md as a concise overview with links

Add a brief example showing the contrast between 'generic AI aesthetic' code and the desired distinctive approach

Dimension	Reasoning	Score
Conciseness	The content is reasonably efficient but includes some unnecessary elaboration, particularly in the design philosophy sections. Phrases like 'Claude is capable of extraordinary creative work' and repeated emphasis on avoiding 'AI slop' could be trimmed without losing actionable value.	2 / 3
Actionability	Provides good conceptual guidance and specific aesthetic principles (typography, color, motion) but lacks concrete code examples. No executable snippets showing how to implement the described techniques - it describes what to do rather than showing how with copy-paste ready code.	2 / 3
Workflow Clarity	Has a clear two-phase structure (Design Thinking → Implementation) but lacks explicit validation checkpoints. No guidance on how to verify the output meets quality standards or feedback loops for iterating on designs that don't meet the aesthetic goals.	2 / 3
Progressive Disclosure	Content is reasonably organized with clear sections, but everything is inline in one file. The extensive aesthetic guidelines could be split into a separate reference file, with SKILL.md providing a concise overview and linking to detailed guidance.	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: bear2u/my-skills
Commit: 1be5394

Reviewed: 18 days ago

Table of Contents

Discovery Implementation Validation

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