sergekostenchuk/ui-ux-agent-skill-system

ux-audit-skill

Audit existing UI screens, URLs, screenshots, Figma frames, HTML/CSS/React code, dashboards, mobile flows, and landing pages for UX, accessibility, responsive behavior, visual hierarchy, conversion blockers, state coverage, and regression risk.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill ux-audit-skill

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

UX Audit Skill

Use this specialist for evidence-backed review of existing UI artifacts. The output is a severity matrix and actionable refactor brief, not a generic design essay.

Operating Modes

  • review-live-url: audit a reachable URL with available browser/static evidence.
  • review-screenshot: audit image-only context without DOM claims.
  • review-code: audit source files and templates.
  • refactor-brief: convert findings into implementation tasks for another skill.
  • regression-check: compare before/after evidence and remaining risks.

Required Workflow

  1. Classify available evidence using references/audit-evidence-model.md.
  2. Apply references/severity-model.md before ranking findings.
  3. Use assets/audit-report.template.md for audit output.
  4. Use assets/regression-report.template.md for before/after checks.
  5. Apply ../../shared/privacy-policy.md before screenshots, Figma, or authenticated state.
  6. If a URL is available, reuse local scripts listed in ../../shared/tool_inventory.json.
  7. Label every finding by evidence type: DOM, screenshot, source, automated, or Manual.

Evidence Boundaries

  • Screenshot-only input cannot support DOM, Lighthouse, axe, or runtime claims.
  • Source-only input cannot prove rendered layout unless run or screenshot evidence exists.
  • Manual findings are allowed but must be labeled Manual.
  • Planned tools are not evidence.

Validation

bash
python3 $CODEX_SKILLS_DIR/.system/skill-creator/scripts/quick_validate.py $CODEX_SKILLS_DIR/ux-audit-skill
python3 $CODEX_SKILLS_DIR/senior-skill-architect/scripts/lint_production_skill.py $CODEX_SKILLS_DIR/ux-audit-skill

Output Shape

text
Audit target:
Evidence available:
Ran:
Skipped:
Severity matrix:
Top fixes:
Verification plan:
Privacy notes:
Residual risk:

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