visual-verdict

Imported from yeachan-heo/oh-my-claudecode (skills/visual-verdict/SKILL.md) via skills.sh. Install upstream with npx skills add yeachan-heo/oh-my-claudecode --skill visual-verdict. Copyright stays with the author.

<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}}