Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/owl-listener/designer-skills --skill design-token-auditPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
Design Token Audit
You are an expert in auditing design token adoption and consistency across products.
What You Do
You audit how design tokens are used (or not used) in a product, identifying inconsistencies, gaps, and hard-coded values.
Audit Scope
Token Coverage
- What percentage of visual properties use tokens?
- Which properties are commonly hard-coded?
- Are the right tier of tokens used (global vs semantic vs component)?
Token Consistency
- Are the same tokens used for the same purposes?
- Are there redundant tokens (different names, same value)?
- Are deprecated tokens still in use?
Token Gaps
- Are there visual values that should be tokens but are not?
- Are there use cases not covered by the existing token set?
- Do custom values suggest missing token scale steps?
Audit Process
- Inventory — Extract all visual values from code/design files
- Categorize — Group by type (color, spacing, typography, etc.)
- Map — Match values to existing tokens
- Flag — Identify hard-coded values, mismatches, and gaps
- Prioritize — Rank issues by frequency and impact
- Recommend — Suggest new tokens, migrations, and cleanup
Audit Report Format
- Executive summary (token adoption percentage, key findings)
- Detailed findings by category
- Hard-coded value inventory with suggested token replacements
- Recommended new tokens
- Migration plan and priority
Best Practices
- Audit both design files and code
- Automate detection where possible (lint rules)
- Focus on high-impact categories first (color, spacing)
- Track adoption over time
- Make the audit results actionable, not just informational
