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Design Handoff

Official
anthropics·vlatest·agents·Apache-2.0

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

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/knowledge-work-plugins --skill design-handoff -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/knowledge-work-plugins at da38ec1ee8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 128 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.