AI Agent Prompts for DESIGN.md Files: A Complete Guide for the VoltAgent Repository

To generate pixel-perfect UI with AI agents using DESIGN.md files, include the core color palette, declare the specific component type, supply exact visual tokens (hex values, radii, typography), add behavioural hints for interactions, and phrase everything in natural language that mirrors the "9. Agent Prompt Guide" section.

The VoltAgent/awesome-design-md repository maintains plain-text design system specifications that AI coding assistants, design bots, and Google Stitch agents consume to produce brand-consistent interfaces. Each DESIGN.md file in the collection concludes with a dedicated "9. Agent Prompt Guide" section containing the exact phrasing patterns these models expect when translating natural language into production-ready code.

The 6-Step Architecture for AI Agent Prompts

Every effective prompt that references a DESIGN.md file follows a specific architectural pattern. This structure ensures the AI model maps your request to pre-defined component schemas and token libraries within the document.

1. Pull the Quick Color Reference

Begin by listing the core palette exactly as documented. In design-md/spotify/DESIGN.md (lines 24-30), the quick color reference provides background, surface, text, accent, and error values. Supplying these first gives the model the color context it needs before processing any component description.

2. Declare the Component Type

State the UI element explicitly—card, button, input, navigation bar, or hero section. The Spotify DESIGN.md (lines 33-38) maps these declarations to pre-defined component schemas. Without this declaration, the model cannot anchor the visual tokens to a specific layout structure.

3. Supply Concrete Visual Tokens

Use exact hex values, border-radius measurements, padding specifications, and typography token names from the file. The OpenCode specification in design-md/opencode.ai/DESIGN.md (lines 3-8) defines button tokens like {colors.interactive-primary} and {rounded.sm}. concrete values guarantee the generated markup matches the design system down to the pixel.

4. Add Behavioural Hints

Include interaction details such as hover states, shadows, disabled appearances, and responsive breakpoints. The Spotify iteration guide (lines 40-46) demonstrates how referencing elevation rules and depth values allows the model to emit CSS that respects the system’s layering logic.

5. Use Natural-Language Description

Phrase the prompt in plain English rather than raw CSS. The Tesla DESIGN.md (lines 80-87) explicitly recommends natural language—such as "Create a dark card" instead of .card { background: #181818; }—because LLMs trained on these guides comprehend semantic descriptions better, yielding cleaner, more maintainable code.

6. Reference Section Numbers (Optional)

When you need deterministic lookup behavior, cite "Section 9 – Agent Prompt Guide". The main README.md (line 208) documents this as an anchor point that helps the agent locate the exact prompt specification within the document structure.

Complete Prompt Examples from the Repository

The following markdown blocks replicate the exact phrasing found in the VoltAgent source files. You can paste these directly into Claude, OpenAI, Gemini, or Google Stitch after placing the corresponding DESIGN.md in your project root.

# Prompt for Spotify

Create a dark card: #181818 background, 8px radius.  
Title at 16px SpotifyMixUI weight 700, white text.  
Subtitle at 14px weight 400, #b3b3b3.  
Shadow rgba(0,0,0,0.3) 0 8 8 on hover.

# Prompt for Tesla

Create a hero section with a full-viewport background image, centered "Model Y" title in Universal Sans Display at 40px weight 500 in white, a subtitle line below, and two buttons side-by-side: a primary Electric Blue (#3E6AE1) "Order Now" button and a secondary white "View Inventory" button, both with 4px border-radius and 40px height.

# Prompt for OpenCode

Design a terminal-style prompt row with background `{colors.surface-dark-elevated}`, text `{colors.on-dark}`, typography `{typography.body-md}`, 4px radius, and 8px 12px padding.

Key Source Files in awesome-design-md

Reference these specific files when constructing your prompts:

• design-md/spotify/DESIGN.md (lines 22-47): Complete Agent Prompt Guide for dark-theme music interfaces, including color references and component schemas.
• design-md/spotify/DESIGN.md (lines 33-38): Example component prompts showing card and button declarations.
• design-md/tesla/DESIGN.md (lines 61-78): Minimalist automotive UI prompt examples and the natural-language iteration guide.
• design-md/tesla/DESIGN.md (lines 80-87): Specific recommendations for phrasing prompts in plain English.
• design-md/opencode.ai/DESIGN.md (lines 3-8): Terminal-native marketing system demonstrating token placeholder syntax like {colors.surface-dark-elevated}.
• README.md (line 208): Overview of the collection and the "Agent Prompt Guide" table of contents structure.

Summary

• VoltAgent/awesome-design-md provides plain-text DESIGN.md specifications that end with a "9. Agent Prompt Guide" section containing exact phrasing for AI agents.
• Effective prompts follow a 6-step architecture: color reference, component declaration, visual tokens, behavioural hints, natural language phrasing, and optional section citation.
• Always use exact token values (hex codes, typography names, spacing values) from the source file rather than approximations.
• Natural language outperforms raw CSS in these prompts because the models are trained on semantic descriptions found in the iteration guides.
• Reference specific line numbers (e.g., lines 24-30 for Spotify colors) when you need deterministic, reproducible outputs from your AI agent.

Frequently Asked Questions

What is the "Agent Prompt Guide" section in a DESIGN.md file?

The "9. Agent Prompt Guide" is a standardized section at the end of every DESIGN.md in the VoltAgent repository. According to the source code in design-md/spotify/DESIGN.md (lines 22-47), this section supplies the exact phrasing, token placeholders, and component schemas that AI agents expect when generating UI code from natural language descriptions.

How do I reference color tokens when prompting AI agents?

Include the core palette at the start of your prompt using the exact hex values and token names listed in the file's quick reference section. For example, design-md/spotify/DESIGN.md (lines 24-30) documents background (#181818), text (#b3b3b3), and accent values that the model substitutes for token placeholders like {colors.surface-card} during code generation.

Can I use raw CSS instead of natural language in prompts?

No. The Tesla DESIGN.md (lines 80-87) explicitly recommends against raw CSS, stating that natural language—such as "Create a dark card with 8px radius"—produces cleaner, more maintainable output. LLMs trained on these guides parse semantic descriptions more effectively than they parse CSS rule blocks.

Which AI agents support DESIGN.md prompt guides?

Any LLM-powered coding assistant can consume these prompts, including Claude, OpenAI GPT-4, Google Gemini, and Google Stitch. The repository structures the DESIGN.md files as plain-text specifications, making them agent-agnostic. Simply place the file in your project root and reference the Section 9 guidelines in your chat interface.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}