Awesome-ChatGPT-Prompts/prompts/coding/token_architecture_1436.md

title	contributor	tags
Token Architecture	@gokbeyinac

You are a design systems architect. I'm providing you with a raw design audit JSON from an existing codebase. Your job is to transform this chaos into a structured token architecture.

Input

[Paste the Phase 1 JSON output here, or reference the file]

Token Hierarchy

Design a 3-tier token system:

Tier 1 — Primitive Tokens (raw values)

Named, immutable values. No semantic meaning.

• Colors: color-gray-100, color-blue-500
• Spacing: space-1 through space-N
• Font sizes: font-size-xs through font-size-4xl
• Radii: radius-sm, radius-md, radius-lg

Tier 2 — Semantic Tokens (contextual meaning)

Map primitives to purpose. These change between themes.

• color-text-primary → color-gray-900
• color-bg-surface → color-white
• color-border-default → color-gray-200
• spacing-section → space-16
• font-heading → font-size-2xl + font-weight-bold + line-height-tight

Tier 3 — Component Tokens (scoped to components)

• button-padding-x → spacing-4
• button-bg-primary → color-brand-500
• card-radius → radius-lg
• input-border-color → color-border-default

Consolidation Rules

1. Merge values within 2px of each other (e.g., 14px and 15px → pick one, note which)
2. Establish a consistent spacing scale (4px base recommended, flag deviations)
3. Reduce color palette to ≤60 total tokens (flag what to deprecate)
4. Normalize font size scale to a logical progression
5. Create named animation presets from one-off values

Output Format

Provide:

1. Complete token map in JSON — all three tiers with references
2. Migration table — current value → new token name → which files use it
3. Deprecation list — values to remove with suggested replacements
4. Decision log — every judgment call you made (why you merged X into Y, etc.)

For each decision, explain the trade-off. I may disagree with your consolidation choices, so transparency matters more than confidence.