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visual-validation-skill

Eibon7
Updated 4 days ago
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Metatestingmcpdesign

About

This Claude Skill performs automated visual UI validation using Playwright MCP to capture multi-viewport screenshots and run accessibility tests. It helps developers verify frontend changes by simulating user interactions and generating visual evidence reports. Use it when testing UI components, frontend updates, or conducting visual regression testing.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/Eibon7/roastr-ai
Git CloneAlternative
git clone https://github.com/Eibon7/roastr-ai.git ~/.claude/skills/visual-validation-skill

Copy and paste this command in Claude Code to install this skill

Documentation

name: visual-validation-skill description: Ejecuta validación visual de UI con Playwright MCP y genera evidencias. triggers:

  • "UI change"
  • "frontend"
  • "visual"
  • "component"
  • "screenshot" used_by:
  • ui-designer
  • front-end-dev
  • test-engineer
  • whimsy-injector steps:
  • paso1: "Conectar a Playwright MCP server (ya configurado en settings.local.json)"
  • paso2: "Identificar componentes/rutas afectadas por cambios"
  • paso3: "Lanzar navegación a páginas relevantes con mcp.playwright.browse"
  • paso4: "Capturar screenshots en múltiples viewports (desktop, tablet, mobile)"
  • paso5: "Ejecutar tests de accesibilidad automáticos (a11y)"
  • paso6: "Simular interacciones de usuario (clicks, hovers, form submissions)"
  • paso7: "Revisar consola del navegador y network logs"
  • paso8: "Generar reporte visual con capturas y métricas" output: |
  • Screenshots multi-viewport: docs/test-evidence/issue-{id}/screenshots/
    • desktop-{page}.png
    • tablet-{page}.png
    • mobile-{page}.png
  • Reporte visual: docs/test-evidence/issue-{id}/ui-report.md
  • Logs de accesibilidad: docs/test-evidence/issue-{id}/a11y-logs.txt
  • Network logs: docs/test-evidence/issue-{id}/network-log.json examples:
  • contexto: "Se implementó nuevo componente UserProfile" accion: |
    1. Navegar a /profile
    2. Capturar en 1920x1080 (desktop), 768x1024 (tablet), 375x667 (mobile)
    3. Probar interacción: click en "Edit" button
    4. Verificar que modal aparece correctamente
    5. Capturar estado hover de botones output: "6 screenshots + ui-report.md con métricas a11y"
  • contexto: "Cambios en formulario de login" accion: |
    1. Navegar a /login
    2. Capturar estado inicial
    3. Simular focus en input de email
    4. Capturar estado de error al submit incorrecto
    5. Validar que contraste cumple WCAG AA output: "Capturas de estados + reporte de contraste" viewports: desktop: "1920x1080" tablet: "768x1024" mobile: "375x667" checks:
  • "Contraste de colores (WCAG AA mínimo)"
  • "Focus visible en elementos interactivos"
  • "Alt text en imágenes"
  • "Labels en formularios"
  • "Responsive sin roturas"
  • "Loading states visibles"
  • "Error states con mensajes claros" tools:
  • mcp.playwright.browse: "Navegar páginas"
  • mcp.playwright.screenshot: "Capturar estado visual"
  • mcp.playwright.inspect: "Inspeccionar elementos" rules:
  • SIEMPRE capturar en 3 viewports mínimo
  • Incluir estados: loading, error, empty, success
  • Verificar a11y en cada captura
  • Documentar cualquier inconsistencia visual
  • Comparar con specs en docs/ui.md si existen references:
  • "docs/ui-review.md"
  • "docs/test-evidence/ - Evidencias visuales"
  • "CLAUDE.md - Visual validation"

GitHub Repository

Eibon7/roastr-ai
Path: .claude/skills/visual-validation-skill.md

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