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aiox-ux-design-expert

UX/UI Designer & Design System Architect (Uma). Complete design workflow - user research, wireframes, design systems, token extraction, component building, and quality assurance

61

Quality

71%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./.codex/skills/aiox-ux-design-expert/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

76%Weight 40%Scale 1-5

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

The body is concise and offers concrete activation commands, but the workflow lacks explicit validation checkpoints and references to external files are not clearly signaled as navigable one-level-deep links. Adding a verify step and clearer reference signaling would lift the weaker dimensions.

Suggestions

Add an explicit validation/confirmation checkpoint in the Activation Protocol (e.g., 'Confirm the persona file loaded before showing the greeting').

Format external file references as clearly signaled one-level-deep links (e.g., 'See [ux-design-expert.md](.aiox-core/development/agents/ux-design-expert.md)') rather than inline paths.

Surface the key starter commands beyond '*help' so the body is more self-contained.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — every section (Activation Protocol, Starter Commands, Non-Negotiables) earns its place with no padding or restated concepts.

5 / 5

Actionability

It gives concrete, executable guidance (e.g., 'node .aiox-core/development/scripts/generate-greeting.js ux-design-expert' and explicit file paths), but most steps are pointers to external files rather than fully inlined executable instructions.

4 / 5

Workflow Clarity

The numbered Activation Protocol gives a clear sequence, but there are no validation checkpoints or feedback loops; checkpoints are implicit rather than explicit.

3 / 5

Progressive Disclosure

Sections are well organized, but referenced paths (e.g., '.aiox-core/development/agents/ux-design-expert.md') are not clearly signaled one-level-deep links and no bundle files are present to verify structure.

3 / 5

Total

15

/

20

Passed

Description

66%Weight 40%Scale 1-5

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 clearly enumerates concrete capabilities and carves out a distinct UX/design-system niche, but it omits any explicit 'Use when...' trigger guidance, which caps completeness. Adding natural trigger phrases and synonyms would raise trigger-term quality.

Suggestions

Add an explicit 'Use when...' clause with concrete triggers (e.g., 'Use when the user asks for wireframes, design systems, or design-token extraction').

Include natural synonyms and tool cues users actually say, such as 'mockups', 'Figma', or 'design tokens'.

Tighten the niche framing so it is distinguishable from generic front-end or styling skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'user research, wireframes, design systems, token extraction, component building, and quality assurance' — giving comprehensive coverage of the workflow.

5 / 5

Completeness

The 'what' is clear, but there is no 'Use when...' clause or equivalent explicit trigger guidance, so completeness is capped at 3 per the rubric.

3 / 5

Trigger Term Quality

Natural terms like 'wireframes', 'design systems', and 'user research' appear, but common synonyms and tool/file cues users might say (e.g., 'mockups', 'Figma', 'design tokens') are missing.

4 / 5

Distinctiveness Conflict Risk

The UX/design-system niche is clearly distinguished, though 'design workflow' breadth leaves minor overlap risk with generic design or front-end skills.

4 / 5

Total

16

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
SynkraAI/aiox-core
Reviewed

Table of Contents

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