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.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill ux-audit-skill

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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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aus demselben Repository

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