PromptVisual design
Design Token Audit
Audit design tokens for consistency, identify duplicates, and recommend consolidation strategies.
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design-tokensdesign-systemauditconsistencyorganization
Prompt
Audit the design tokens for [design system/product].
Token Context:
- Design system: [name]
- Token types: [colors / spacing / typography / etc.]
- Current token count: [if known]
[Paste token list or provide access to token documentation]
Provide:
1. Token Inventory
- All tokens by category
- Token naming patterns
- Token organization
- Usage frequency (if available)
2. Consistency Analysis
- Naming convention compliance
- Value consistency
- Usage patterns
- Inconsistencies identified
3. Duplicate Identification
- Duplicate values
- Similar tokens that could merge
- Redundant tokens
- Consolidation opportunities
4. Gap Analysis
- Missing tokens
- Incomplete token sets
- Coverage gaps
- Needed additions
5. Token Organization
- Current structure assessment
- Recommended structure
- Grouping improvements
- Hierarchy recommendations
6. Naming Convention Review
- Current naming patterns
- Naming inconsistencies
- Recommended naming system
- Migration strategy
7. Value Optimization
- Unused tokens
- Overly specific tokens
- Value standardization opportunities
- Scale improvements
8. Migration Plan
- Tokens to deprecate
- Tokens to consolidate
- New tokens to add
- Migration timeline
- Breaking changes
9. Documentation Recommendations
- Token documentation needs
- Usage guidelines
- Examples needed
- Tooling improvements
10. Implementation Priority
- High priority fixes
- Medium priority improvements
- Low priority cleanup
- Quick wins
Format as a comprehensive token audit with prioritized recommendations.How to use
- 1Gather your design tokens: Collect design token documentation, JSON files, or design system token lists
- 2Replace [design system/product], [name], and [colors / spacing / typography / etc.] with your specific details
- 3Replace [Paste token list or provide access to token documentation] with your actual tokens. Format: "Colors: [list]" "Spacing: [list]" etc.
- 4If you have token JSON: Paste your design tokens JSON file. Say "Design tokens JSON: [paste JSON]"
- 5If you have Figma tokens: Use Figma MCP to extract tokens first, then paste them here
- 6Add context before the prompt: Describe your design system and token structure. Example: "Design system: Material Design 3. Token types: Colors, spacing, typography, border radius. Current token count: ~150 tokens."
- 7Paste the modified prompt into your preferred AI tool, like ChatGPT or Claude
- 8Review the token audit: Check token inventory, consistency analysis, duplicate identification, and consolidation opportunities
- 9Prioritize fixes: Focus on high-priority fixes first (duplicates, inconsistencies), then medium, then low
- 10Ask for specifics: Request "Focus on color token consolidation" or "Identify typography token duplicates" or "Detail naming convention issues"
- 11Export to your tool: Copy the audit and migration plan to Notion, Confluence, or your design system documentation
- 12Use for token cleanup: Apply the migration plan to consolidate and improve your design tokens
Pro Tips
- • Include token JSON: Paste your actual design tokens JSON so AI can analyze real token values and structure
- • For Figma-based tokens: First use "Extract Design System Using Figma MCP" prompt, then use this audit on the extracted tokens
- • Specify token categories: Mention token types (colors, spacing, typography) so AI audits all categories
- • Request consolidation plan: Ask "Create detailed migration plan for token consolidation" for actionable steps
- • Save as baseline: Use the audit as a baseline and re-run periodically to track token improvements
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