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Agentic Design Systems

Designs, scaffolds, extends, or audits a component library whose primary consumer is an AI agent, not just humans.

Design / Frontenddesignfrontend
by AgentVoltv1.0.0Published 1y ago1 install
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Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Audit our component library so Claude can use it correctly without trial and error.”
Beforegeneric AI agent
Component libraries are important for consistency across a product. You might document what props each component accepts and what they do. There are tools for generating documentation automatically from code. You could also think about creating guidelines for when to use each component and how variants differ. Some teams write storybooks or live component explorers. Keeping documentation up to date is often a challenge though, and it can get out of sync with actual code pretty quickly.
Afterwith Agentic Design Systems
AGENTIC COMPONENT AUDIT OUTPUT:

METADATA GENERATION
   For each component, produce machine-readable spec:
   
   Component: ButtonPrimary
   Purpose: "High-emphasis actions (submit, save, critical workflows)"
   Anti-patterns: [
     "Do not use for navigation (use Link component)",
     "Do not stack more than 2 ButtonPrimary per section",
     "Avoid in modals with destructive actions (use ButtonDanger)"
   ]
   Props: {
     size: enum"sm|md|lg" (required),
     disabled: boolean (optional),
     loading: boolean (optional, shows spinner)
   }
   Slot: label (text only, no nested elements)
   
   Component: DataTable
   Limitations: "Max 5 columns visible; use column selector for 6+"
   Required props: ["rows", "columns", "onSort"]
   Gotchas: "Column.accessor must match row key exactly"

AI-READINESS CHECKLIST
   • Slot naming is explicit and unambiguous
   • Boolean props never default to confusing values
   • Error states documented (e.g., TextInput with error-message prop)
   • Nesting rules clear (modals must be portaled, never nested in overflow:hidden)
   • CSS class naming avoids AI confusion (use bem.is-active not .active)

AUDIT REPORT
   Components ready for agent use: 24 of 31
   Components needing revision: TabBar (no ARIA), Dialog (missing onClose)
   Metadata coverage: 94percent

About this skill

name: agentic-design-systems description: Use when Designs, scaffolds, extends, or audits a component library whose primary consumer is an AI agent, not just humans.

Agentic Design Systems

Generates machine-readable metadata for components, variants, and tokens so an AI coding agent knows how to use a design system correctly, including flagging anti-patterns.

What you get

  • A component library scaffold or audit with AI-readable metadata.

Customize your output

  • Which components to cover
  • metadata schema depth.

Example output

A design system audit flagging AI-unfriendly component patterns.

Best for

Design engineers building component libraries AI agents will consume.

SKILL.md preview

SKILL.md
---
name: agentic-design-systems
description: Use this skill to design, scaffold, extend, or audit a component library whose primary consumer is an AI coding agent rather than a human developer.
version: 1.0.0
category: Design / Frontend
author: AgentVolt
license: proprietary
tags:
  - design
  - frontend
  - standard
---

# Agentic Design Systems

Designs, scaffolds, extends, or audits a component library whose primary consumer is an AI coding agent rather than a human developer.

## When to use

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