CtrlK
BlogDocsLog inGet started
Tessl Logo

ui

Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask in any language for UI, page, component, frontend, typography, screenshot-grounded visual polish, or complaints that a screen looks unclear, ugly, inconsistent, or visually wrong. Not for backend logic or data pipelines.

70

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

A mature, opinionated skill body that routes cleanly to real one-level-deep references and gives concrete, executable design rules with specific values. It is slightly long in its exception-handling prose and could make intermediate validation gates as explicit as the final aesthetic review.

Suggestions

Tighten the direction-lock clarification-round and exception prose (app-shell, native-app, data-dashboard) into terser rules to reclaim tokens.

Add an explicit mid-build validation checkpoint (not only the handoff aesthetic review) so drift is caught before the final pass.

Consolidate the two overlapping aesthetic-quality references into one canonical pointer to remove the compatibility-map caveat that currently consumes a line.

DimensionReasoningScore

Conciseness

Dense and opinionated, assuming Claude's competence without explaining basics, but the elaborate exception mechanics (clarification rounds, app-shell/native-app/data-dashboard carve-outs) could be tightened in places.

4 / 5

Actionability

Concrete and executable guidance throughout: named hard bans, specific direction dimensions, exact values to lift (hex codes, spacing scale, border radii) and a precise shadow/lightness minimum ("sidebar vs main >=4% lightness difference", "0 1px 3px rgba(0,0,0,0.10)").

4 / 5

Workflow Clarity

Clear sequence from preflight through mode pick, direction lock, thesis summary, build, and a handoff aesthetic-review checklist with fix-first feedback, though per-step validation gates are less explicit than the final review.

4 / 5

Progressive Disclosure

SKILL.md is a well-signaled overview with a mode-picker routing table pointing to one-level-deep reference files (design-reference, mode-quick-fix, mode-screenshot-iteration, mode-generated-asset, etc.), all of which exist under references/.

5 / 5

Total

17

/

20

Passed

Description

95%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.

A strong, third-person description that crisply states what the skill does and when to use it, with rich multilingual trigger terms and an explicit scope boundary. The only minor gap is verb diversity, relying largely on "Produces" across several objects.

DimensionReasoningScore

Specificity

Names the UI domain and several concrete capability areas ("pages, components, visual interfaces, typography, and screenshot-driven polish"), though it relies on one main verb ("Produces") plus "polish" rather than many distinct actions, so it stops just short of comprehensive.

4 / 5

Completeness

Explicitly answers both what ("Produces distinctive, production-grade UI...") and when ("Use when users ask..."), with concrete trigger phrases and a clear negative boundary ("Not for backend logic or data pipelines").

5 / 5

Trigger Term Quality

Comprehensive natural trigger coverage including synonyms and complaint phrasing ("UI, page, component, frontend, typography, screenshot-grounded visual polish" plus "unclear, ugly, inconsistent, or visually wrong"), explicitly spanning any language.

5 / 5

Distinctiveness Conflict Risk

Clear niche (UI/visual polish) with distinct triggers and an explicit out-of-scope clause ("Not for backend logic or data pipelines"), giving minimal conflict risk with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
tw93/Waza
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.