skills/ Yeachan-Heo/oh-my-claudecode

visual-verdict

Structured visual QA verdict for screenshot-to-reference comparisons

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SKILL.md

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<Use_When>

  • The task includes visual fidelity requirements (layout, spacing, typography, component styling)
  • You have a generated screenshot and at least one reference image
  • You need deterministic pass/fail guidance before continuing edits </Use_When>

<Output_Contract> Return JSON only with this exact shape:

{
  "score": 0,
  "verdict": "revise",
  "category_match": false,
  "differences": ["..."],
  "suggestions": ["..."],
  "reasoning": "short explanation"
}

Rules:

  • score: integer 0-100
  • verdict: short status (pass, revise, or fail)
  • category_match: true when the generated screenshot matches the intended UI category/style
  • differences[]: concrete visual mismatches (layout, spacing, typography, colors, hierarchy)
  • suggestions[]: actionable next edits tied to the differences
  • reasoning: 1-2 sentence summary

<Threshold_And_Loop>

  • Target pass threshold is 90+.
  • If score < 90, continue editing and rerun /oh-my-claudecode:visual-verdict before any further visual review pass.
  • Do not treat the visual task as complete until the next screenshot clears the threshold. </Threshold_And_Loop>

<Debug_Visualization> When mismatch diagnosis is hard:

  1. Keep $visual-verdict as the authoritative decision.
  2. Use pixel-level diff tooling (pixel diff / pixelmatch overlay) as a secondary debug aid to localize hotspots.
  3. Convert pixel diff hotspots into concrete differences[] and suggestions[] updates. </Debug_Visualization>

Task: {{ARGUMENTS}}

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