Prompt to Turn ChatGPT into an Token Architecture
Prompt to Turn ChatGPT into an Token Architecture is a verified PROMPT blueprint on Promptally in Personas, Teachers & Roleplay optimized for leading AI models. High-performance Prompt to Turn ChatGPT into an Token Architecture prompt blueprint. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (Personas, Teachers & Roleplay) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 490 |
| Source file | prompt-prompt-to-turn-chatgpt-into-an-token-architecture.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
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.
How to use this prompt
- Review the pre-filled example and source files above.
- Copy the template or download
prompt-prompt-to-turn-chatgpt-into-an-token-architecture.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to Turn ChatGPT into an Token Architecture?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-prompt-to-turn-chatgpt-into-an-token-architecture.md and paste it into your model, IDE or workflow tool. Prompt to Turn ChatGPT into an Token Architecture is a static blueprint with no dynamic variables. Copy it and use it as-is.
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What variables does Prompt to Turn ChatGPT into an Token Architecture need?
Prompt to Turn ChatGPT into an Token Architecture is a static blueprint with no dynamic variables. Copy it and use it as-is.