Design Handoff

🏢Official
by anthropics · vlatest · Repository

Seamlessly transfers complex design concepts from AI generation to human designers for refinement and finalization.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add anthropics-design-handoff npx -- -y @trustedskills/anthropics-design-handoff
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "anthropics-design-handoff": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/anthropics-design-handoff"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The design-handoff skill enables AI agents to extract structured design specifications from unstructured text, images, or code comments. It transforms vague creative descriptions into actionable technical requirements for developers.

When to use it

  • Translating client briefs or mood boards into precise UI component definitions.
  • Converting legacy documentation or handover notes into modern design system standards.
  • Generating accessibility compliance checklists from visual mockups.
  • Extracting color palettes, typography scales, and spacing rules from raw image files.

Key capabilities

  • Parses unstructured input (text, images, code) to identify design elements.
  • Outputs structured data formats like JSON or YAML for direct integration.
  • Identifies specific attributes including colors, fonts, sizes, and layout constraints.
  • Bridges the gap between creative vision and engineering implementation.

Example prompts

"Analyze this image of a dashboard and output the color palette and typography settings as JSON." "Convert these client notes about mobile responsiveness into a structured design specification." "Extract all spacing rules and border radius values from this React component description."

Tips & gotchas

Ensure input images have sufficient resolution for accurate element detection. Complex layouts with overlapping elements may require manual verification of the generated specifications.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
anthropics
Installs
55

🏢 Official

Published by the company or team that built the technology.