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Design System Architect

Checked
daffy0208·vlatest·frontend·MIT

Creates scalable, maintainable design system components and documentation based on provided brand guidelines and user needs.

Install on your platform

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

Installs under a different name. Its SKILL.md names it Design System Architect, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add daffy0208/ai-dev-standards --skill "Design System Architect" -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

daffy0208

Taken from the source listing. We haven't verified who controls this account.

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 daffy0208/ai-dev-standards at 32c3241e48.

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

Scanned
3 files, 1,772 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

Design System Architect

What it does

This skill empowers AI agents to analyze existing design systems and generate comprehensive documentation, ensuring consistency across frontend projects. It bridges the gap between visual assets and code by mapping components to their underlying implementation details.

When to use it

  • Onboarding new team members by automatically generating up-to-date component libraries and usage guidelines.
  • Auditing legacy codebases to identify inconsistencies in spacing, typography, or color usage without manual inspection.
  • Creating standardized documentation for design tokens (colors, fonts, shadows) to enforce brand compliance.
  • Streamlining the handoff process between designers and developers by extracting structured data from Figma or Sketch files.

Key capabilities

  • Analyzes complex design system structures to extract component hierarchies.
  • Generates detailed markdown documentation including props, usage examples, and visual states.
  • Maps design tokens (colors, typography scales) to actual CSS variables or styled-components.
  • Identifies gaps between current implementation and best practices for scalability.

Example prompts

  • "Analyze the attached Figma file and generate a comprehensive design system documentation page in markdown."
  • "Extract all color tokens and typography settings from this project's style guide and list them as CSS variables."
  • "Review the provided component library code and create a usage guide with examples for the Button and Card components."

Tips & gotchas

Ensure your AI agent has access to both the visual design files (like Figma) and the corresponding codebase to accurately map tokens. This skill works best when used early in the project lifecycle to establish standards before significant development begins.