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rschuftrschuft/ai-frontend-skill-packs/skills/design-validate/SKILL.md

design-validate

Skill4 starsChanged 5 days agoMITView on GitHub

Validate visual design changes across screen sizes, themes, content variants, readability, and brand coherence. Use for visual regression and design acceptance checks.

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Verify rendered visual outcomes and regressions.

    line 10
  2. Very specific:

    Test relevant variants: mobile/desktop widths, available themes, light/dark, zoom/text-spacing overrides, localization, long/error/empty …

    line 15
  3. Very specific:

    Check cross-lens issues with wcag-validate (actual WCAG criteria, keyboard and AT) and ux-validate (task outcome and behavior).

    line 17

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Validate visual design changes and screenshot outcomes

Scope

Verify rendered visual outcomes and regressions; treat aesthetic judgment separately from accessibility and usability evidence.

Procedure

  1. Translate each design finding to a concrete acceptance condition: intended focal element, consistent semantic role, improved grouping, correct image crop, token reuse, robust text wrapping, or matching brand brief. Record the baseline and the change under test.
  2. Test relevant variants: mobile/desktop widths, available themes, light/dark, zoom/text-spacing overrides, localization, long/error/empty data, component interaction states and image-load failures. Do not claim coverage for variants not actually rendered.
  3. Use automated visual diff where available, but inspect important differences manually to separate intentional improvements from regressions. Check layout overflow and token usage via code; use grayscale or a short exposure to test hierarchy. Inspect at least one responsive transition rather than merely checking fixed endpoints.
  4. Check cross-lens issues with wcag-validate (actual WCAG criteria, keyboard and AT) and ux-validate (task outcome and behavior). Visual checks cannot replace either.
  5. Compare against references/visual-test-matrix.md, record passed, failed, or not-tested, link evidence, and report remaining brand/product judgment separately. Do not invent numeric aesthetic scores.

Output

A concise per-finding table: hypothesis → variant(s) tested → method/evidence → observed result → regression notes → status/untested gaps. A report with no screenshots or browser rendering must explicitly describe its limitation.

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