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/design-token-audit

Audit token usage across a product for coverage, drift, and hard-coded values. Use when tokens exist and you suspect they are being bypassed. For defining tokens in the first place, use `design-token` (design-systems).

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designer-skills
2.9k111 skills33 commands
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$ npx -y skills add Owl-Listener/designer-skills --skill design-token-audit --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/design-token-audit

Context preview

The summary Claude sees to decide when to auto-load this skill.

Audit token usage across a product for coverage, drift, and hard-coded values. Use when tokens exist and you suspect they are being bypassed. For defining tokens in the first place, use `design-token` (design-systems).

SKILL.md

design-token-audit.SKILL.md
name: design-token-audit
description: Audit token usage across a product for coverage, drift, and hard-coded values. Use when tokens exist and you suspect they are being bypassed. For defining tokens in the first place, use `design-token` (design-systems).

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

1. **Inventory** — Extract all visual values from code/design files 2. **Categorize** — Group by type (color, spacing, typography, etc.) 3. **Map** — Match values to existing tokens 4. **Flag** — Identify hard-coded values, mismatches, and gaps 5. **Prioritize** — Rank issues by frequency and impact 6. **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
Read more
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