agentic-design-systems

Use when designing, scaffolding, extending, or auditing a component library whose primary consumer is an AI agent — i.e. the design system needs machine-readable metadata (props, variants, relationships, tokens, anti-patterns) rather than only prose docs. Triggers include "agentic design system", "design system for AI/Claude", "make my design system AI-readable", "component metadata schema", "scaffold a UI library for an agent", or planning a new component library where the main consumer is an LLM. Don't use this skill for purely human-facing design system work — use figma:figma-generate-library for that.

thedesignproject/agent-skills150 installsMITSynced Aug 22

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: agentic-design-systems
description: Use when designing, scaffolding, extending, or auditing a component library whose primary consumer is an AI agent — i.e. the design system needs machine-readable metadata (props, variants, relationships, tokens, anti-patterns) rather than only prose docs. Triggers include "agentic design system", "design system for AI/Claude", "make my design system AI-readable", "component metadata schema", "scaffold a UI library for an agent", or planning a new component library where the main consumer is an LLM. Don't use this skill for purely human-facing design system work — use figma:figma-generate-library for that.
license: MIT
---

# Agentic Design Systems

When this skill triggers, you're helping the user build, extend, or audit a component library whose primary consumer is an AI agent. The bar: given a prose request like *"Build a confirmation modal with a destructive action,"* an agent picks the right component, the right variant, and the right tokens — without inventing patterns.

This skill gives you the schema, the workflow, and the principles. Adapt it to where the user is.

---

## Diagnose first

Before producing anything, figure out which mode applies:

- **Greenfield** — user is starting a new system intended for agent consumption. Walk through the [build workflow](#build-workflow). Start with the schema and one worked component (Button is canonical); don't try to scaffold everything at once.
- **Retrofitting** — user has a component library and wants to make it agent-readable. Skip workspace setup. Add `meta.types.ts`, then write a `.meta.ts` per component, then build the index and validator. Anti-patterns first (see [Step 5](#step-5--anti-patterns-first)).
- **Auditing** — user has metadata already. Score each component against the [four pillars](#the-four-pillars) and the [validator checks](#step-9--metadata-validator). Flag missing relationships, prose anti-patterns, raw global tokens, and ungrounded variant axes.
- **Single component** — user wants to add or fix one component. Generate the full file set in [Step 3](#step-3--build-one-component-end-to-end). Metadata ships with the component or it doesn't ship.

If the prompt is ambiguous, ask one targeted question — don't guess.

---

## The four pillars

Treat every component as the intersection of four things. Most metadata schemas only model the first; that's why agents misuse the components.

| Pillar | What it answers | Failure mode if missing |
|---|---|---|
| **Props** | What you set | (always present) |
| **Variants** | Which combination to pick | Agent picks invalid combinations |
| **Relationships** | Where the component fits structurally and a11y-wise | Agent generates code that compiles but is structurally wrong |
| **Tokens** (component-scoped) | Which design values bind to this component | Agent invents colors and spacing |

Plus `aiHints` — the meta layer that tells an agent *when* to use the component, *which* variant fits *which* situation, and *what never to do*.

### Four design decisions baked into the schema

- **States are implicit in tokens, not a separate pillar.** Encode `button-primary-bg-hover`, `button-primary-bg-disabled`, etc. Theming becomes a token swap; one source of truth.
- **Variants are a matrix, not a flat enum.** Declare axes (`appearance × size × density`) and let the agent pick a cell. Use `invalidCombinations` for cells that shouldn't ship.
- **Accessibility folds into Relationships.** ARIA `role`, `keyboardSupport`, and `screenReader` describe how the component fits into the document and interaction model — that's relational. No separate a11y pillar.
- **Anti-patterns are first-class and structured.** Never prose. Always `{scenario, reason, alternative}` triples — they force precision.

---

## The schema (canonical contract)

Write this once at `meta.types.ts`. Every component's `.meta.ts` imports it and is type-checked. The schema *is* the contract.

```ts
interface ComponentMeta {
  component: {
    name: string;
    category: "atoms" | "molecules" | "organisms";
    type: "interactive" | "display" | "container" | "input" | "navigation";
    description: string;
    path: string;
    figma?: { nodeId: string | null };
  };

  props: Record<string, PropDef>;

  variants: {
    axes: Record<string, readonly string[]>;
    purpose: Record<`${string}.${string}`, string>;
    invalidCombinations?: { axes: Record<string, string>; reason: string }[];
  };

  relationships: {
    requires?: string[];           // contexts/providers above
    mustBeChildOf?: string[];
    mustBeParentOf?: string[];
    optionalSibling?: string[];
    commonPartners?: string[];
    triggers?: string[];           // events emitted
    blocksWhen?: { when: string; effect: string }[];
    exposesState?: string[];       // state descendants can read
    role: string;                  // a11y
    keyboardSupport: string;
    screenReader: string;
  };

  tokens: {
    color?: Record<string, string>;
    spacing?: Record<string, string>;
    typography?: Record<string, string>;
    border?: Record<string, string>;
    motion?: Record<string, string>;
    elevation?: Record<string, string>;
  };

  aiHints: {
    priority: "high" | "medium" | "low";
    keywords: string[];
    selectionCriteria: Record<string, string>;
    usage: {
      useCases: string[];
      commonPatterns: { name: string; composition: string }[];
      antiPatterns: { scenario: string; reason: string; alternative: string }[];
    };
  };
}
```

When generating a component's `.meta.ts`, fill every field that applies. Empty arrays are fine; missing keys aren't — that's what the validator catches.

---

## Build workflow

### Step 1 — Workspace shape
Recommend a sibling package inside the consuming app's monorepo (`packages/ui-next/`). Switchover later is just an import rewrite. A separate repo only makes sense when independent versioning is required.

### Step 2 — Schema as TypeScript contract
Write `meta.types.ts` before any components. Everything else flows from it.

### Step 3 — Build one component end-to-end
Pick something small and high-traffic. Button is canonical. Ship the full set together:

```
Button/
  Button.tsx              ← implementation
  Button.meta.ts          ← four pillars + aiHints
  Button.tokens.css       ← component-scoped tokens
  Button.stories.tsx      ← visual test surface
  Button.test.tsx         ← behavior tests
  index.ts                ← single canonical export
```

Wire up Storybook early (`.storybook/main.ts` for story discovery, `.storybook/preview.ts` for theme imports). One story per variant matrix cell makes design-space regressions obvious at a glance.

Metadata ships with the component or the component doesn't ship. Don't defer it.

### Step 4 — Tokens at two levels
- `tokens/core.css` — raw brand palette and scales (`--color-brand-600`, `--space-4`).
- `tokens/themes/*.css` — map component-scoped tokens (`--button-primary-bg`) to core values.

Component CSS only ever references component-scoped tokens. Theme swaps stay mechanical.

### Step 5 — Anti-patterns first
For each component, write the `antiPatterns` array *before* writing the implementation. The structured-triple format (`scenario`, `reason`, `alternative`) forces precision — you can't write "don't overuse primary buttons"; you have to write *which scenario*, *why it's wrong*, *what to do instead*. The anti-patterns end up driving the API.

### Step 6 — Variant axes as a coordinate system
Variants aren't a flat list of strings. Declare axes (`appearance × size × density`) so the agent picks along independent dimensions. Use `invalidCombinations` to rule out cells that shouldn't ship (e.g. `appearance: "ghost" × size: "xs"` — too small to be tappable).

### Step 7 — Relationships as machine-checkable rules
- `requires` — providers that must exist above
- `mustBeChildOf` / `mustBeParentOf` — structural constraints
- `triggers` — events emitted
- `blocksWhen` — prop-state-dependent behavior
- `exposesState` — what descendants can read

This is the pillar that prevents agents from generating code that compiles but is structurally wrong.

### Step 8 — Hierarchical metadata index
Generate `metadata/index.json` — a flat list of `{name, category, path, keywords, priority}`. Agents scan this first to shortlist candidates, then read the full `.meta.ts` only for relevant components. Cheap discovery, expensive depth.

Build with a script (`scripts/build-index.ts`) that walks every `*.meta.ts`, dynamically imports each one, and writes the JSON. Run it on every metadata change so the index can never lie about what exists.

### Step 9 — Metadata validator
A short script (`scripts/validate-metadata.ts`) walks every `*.meta.ts` (via fast-glob), dynamically imports each one, shape-checks the export, and asserts:

- Every variant axis cell appears in `aiHints.selectionCriteria` or `variants.purpose`
- Every `tokens.*` key is component-scoped (kebab-case of the component name)
- `antiPatterns` is non-empty for `priority: "high"` components
- `relationships.role` / `keyboardSupport` / `screenReader` are non-empty (enforces the "a11y folds into Relationships" decision)
- `invalidCombinations` references only declared axis values

Run in CI. If the metadata is wrong, the build fails. The schema is enforced, not aspirational.

### Step 10 — Switchover (per-component, not big-bang)
Don't switch over at the end — switch per-component as parity is reached.

- **API parity tracker** — markdown checklist of old library exports → new equivalents.
- **Token bridge** — map old tokens to new component-scoped ones.
- **Codemod** — rewrite imports page-by-page.

---

## Principles

- **Lean over generated.** Hand-write metadata for the first ~10 components. Automate only after the patterns are obvious.
- **Direct imports, no barrels.** One canonical path per component. Two ways in means the agent picks wrong.
- **Co-locate everything.** Component, metadata, tokens, stories, tests — one folder.
- **Anti-patterns drive design.** Write them first. They reveal the contract.
- **Component-scoped tokens.** Never reference raw global tokens from a component's CSS.
- **States live in tokens.** No `states` block. No `behavior.states` array.
- **A11y is relational.** It belongs in Relationships, not its own pillar.
- **The schema is the contract.** Validator runs in CI; failing metadata fails the build.

---

## What success looks like

The user hands an agent a Figma screenshot or a prose request — *"Build a confirmation modal with a destructive action"* — and the agent:

1. Scans `metadata/index.json` and shortlists `Modal`, `Button`, `Heading`.
2. Reads each shortlisted component's `.meta.ts`.
3. Sees `Button.relationships.mustBeChildOf` includes `ModalFooter`; picks `appearance: "danger"` from `aiHints.selectionCriteria`.
4. Avoids two `appearance: "primary"` siblings because `antiPatterns` flags it.
5. References component-scoped tokens — never invents a color.
6. Generates code that follows the contract on the first try.

That's the bar. If the metadata can't get an agent to that outcome, fix the metadata.

More Design Systems skills

stitch-design-taste

leonxlnx/taste-skill

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

265.6k

figma

heygen-com/hyperframes

Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI), connector-assisted motion when available, and shaders from a connector or native export. Use when the user pastes a figma.com link or asks to bring a Figma design, frame, logo, brand, or animation into a video/composition.

101.8k

image

coreyhaines31/marketingskills

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Flux Kontext,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'ChatGPT Images,' 'Ideogram,' 'Gemini image,' 'Nano Banana,' 'Recraft,' 'Stable Diffusion,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.

62.9k

← All Design Systems skills

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY