---
model_tier: inherit
name: design-intelligence
description: "Grounded design brief from the adopted corpus — style, WCAG-checked color tokens, typography, layout pattern, anti-patterns. Use on ui-design-brief or any which-style/palette/font/chart decision."
domain: engineering
personas:
  - frontend-engineer
workspaces:
  - engineering
packs:
  - frontend-design
token_budget_class: rich
trust:
  level: professional
install:
  removable: true
execution:
  type: manual
---

# design-intelligence

> The grounded source for frontend design decisions (ADR-061; first
> consumer of [`corpus-grounding`](../corpus-grounding/SKILL.md)). When the
> UI directive set's `design` step emits `@agent-directive: ui-design-brief`,
> consult this corpus FIRST and pre-fill the brief candidates — then the
> human confirms (`design_confirmed`). Corpus output is a **constraint
> set**, never final microcopy; the placeholder lock in
> `directives/ui/design.ts` is unaffected.
>
> **Boundary (council-locked):** `design.ts` stays a pure orchestration
> gate and never imports the engine — the corpus call lives HERE, in the
> skill layer, keeping the engine an optional dependency.

Corpus: 11 tabular CSVs under [`data/`](data/) (161-row `ui-reasoning`
decision map, WCAG-adjusted color token sets, 84 styles, 73 font
pairings, 25 chart rules, UX/react/mobile guidelines) + 16 prose
design-language specs ([`references/design-languages.md`](references/design-languages.md))
+ the 10-category pre-delivery checklist
([`references/design-rules-checklist.md`](references/design-rules-checklist.md)).
Provenance + licenses: [`ATTRIBUTION.md`](ATTRIBUTION.md); manifest:
[`data/manifest.json`](data/manifest.json).

## When to use

- The UI directive set emits `@agent-directive: ui-design-brief` (the
  design step found `state.ui_design` empty).
- Any pre-build selection question: which style / palette / font pairing /
  layout pattern / chart type / icon system fits this product.
- Stack-idiom lookup before writing UI code (`--stack` axis).

## Cross-task design memory — read DESIGN.md / PRODUCT.md first

Before running the corpus grounding or producing any design brief, check
the project root for `DESIGN.md` and/or `PRODUCT.md` (written by
`design-system-capture`). If they exist:

1. Read `DESIGN.md` — apply its captured visual decisions (radius, shadows,
   motion, spacing) as **project constraints** that take precedence over
   corpus suggestions. The corpus fills gaps; DESIGN.md overrides.
2. Read `PRODUCT.md` — note interaction patterns that affect the design
   (e.g., destructive-action policy, empty-state approach) so the brief
   is consistent with existing product conventions.
3. After generating the design brief: if a decision was made that isn't yet
   in DESIGN.md (e.g., chose a specific shadow for a new elevated surface),
   flag it for capture: *"Suggest adding to DESIGN.md: elevated surface shadow = …"*

Boundary vs `brand-to-tokens`/`.tokens.json`:
- `.tokens.json` = primitive definitions (gray-700 = #374151)
- `DESIGN.md` = usage decisions (elevated surfaces use the gray-700 shadow, 8px radius)
Both are consumed; DESIGN.md takes precedence for usage questions.

## Register — brand vs product

Determine the design register before grounding (see
[`docs/guidelines/design-modes.md`](../../../docs/guidelines/design-modes.md)):
**brand mode** ("the impression IS the product" — marketing, landing, consumer
first-impression) prioritizes distinctive selection; **product mode** ("design
serves the task" — dashboard, admin, workflow) prioritizes earned familiarity
and accessibility. The register changes which corpus selections are appropriate
(distinctive palette/typography in brand mode; predictable, semantic in product
mode). State the register in the Design Read line below.

**Embedded vs standalone (a third discriminator).** UI **embedded inside a host
surface** — a widget in a slide, a card in a chat, a panel in someone else's
app — follows a **flatter charter** than a greenfield standalone page:
restrained weights, hairline borders, no atmospherics/gradients/shadows that
would fight the host. Select the register per surface (embedded → flat;
standalone → the brand/product register above) — it is a selector, not a fixed
token set (no values vendored; the host's tokens win).

## Design Read — articulate intent before generating

Before producing any design brief or making any style selection, emit one
line that declares the design read:

```
Reading this as: <page-kind> for <audience>, <vibe> language, leaning <design-system>.
```

Examples:
- `Reading this as: SaaS dashboard for internal ops teams, functional language, leaning Radix/shadcn.`
- `Reading this as: marketing landing for B2C consumer product, playful editorial, leaning custom tokens.`
- `Reading this as: admin panel for technical users, dense/utilitarian language, leaning data-grid primitives.`

**If context is incomplete:** state so and proceed exploratory — *"Design context incomplete: no audience defined; proposing exploratory direction, expect revision after audience is clarified."* Do NOT block on missing context; do NOT prompt the user with a gate; state the gap and continue.

### Taste Dials — quantify, infer, emit

If `DESIGN.md` declares `## Taste Dials`, use those values. Otherwise infer
three 1–10 dials from the brief and append them to the Design Read line
(`… · dials V/M/D = 6/3/4`) so the user can correct them; on confirmation,
suggest persisting to `DESIGN.md` (via `design-system-capture`). Dials are a
config, not a vibe — never re-infer when `DESIGN.md` already sets them
(no drift across sessions).

**Dial Inference Table** (brief signal → Variance / Motion / Density, 1–10):

| Brief signal | V | M | D |
|---|---|---|---|
| minimal / calm / editorial / clean | 3–5 | 2–4 | 2–4 |
| trust / regulated / public-sector / fintech | 3–4 | 2–3 | 4–6 |
| default / unstated | 5–6 | 3–4 | 4–5 |
| data-dense / dashboard / admin / cockpit | 4–6 | 2–3 | 7–9 |
| bold / playful / expressive / awards / Dribbble | 8–10 | 7–10 | 3–5 |

**Dial → downstream levers** (how a dial value changes generation):

| Dial | Low (1–3) | High (8–10) |
|---|---|---|
| Variance | symmetric grids, one layout family | asymmetry, varied layout families, off-grid accents |
| Motion | static / `prefers-reduced-motion`-first, opacity-only | choreographed scroll/stagger (still GPU-only, still reduced-motion alt) |
| Density | generous whitespace, large spacing scale, few items/viewport | tight spacing scale, more information per viewport |

Dials persist in `DESIGN.md`; the stack executors (`tailwind-engineer`,
`react-shadcn-ui`, `blade-ui`, `flux`) read `DESIGN.md` and honour them.

**Anti-Default Discipline — first-impulse check:** Before committing to any
design direction, cross-check your first impulse against the current-generation
tells in [`design-antipatterns.md`](../../../docs/guidelines/design-antipatterns.md)
(§ Current-generation tells — the warm-editorial C5+T2+T7 signature and the
previous-generation C1/C2 gradient) plus the L1/L2 layout defaults. If a tell
was your first reach, name a different direction or explicitly justify why this
brief genuinely calls for it. (The finalization cross-check against the full
catalog is under *Anti-slop discipline* below.)

## Honesty / real-system grounding

When the brief maps to an official design system (Material Design, Fluent,
Carbon, Polaris, GOV.UK, shadcn, Tailwind UI, Radix, etc.):

0. **Canon grounding first.** If the brief names a system OR
   `components.json`/deps signal one (`@mui/material`, `antd`, `@fluentui/*`,
   `@carbon/*`, `@atlaskit/*`), pull
   [`docs/guidelines/design-canon.md`](../../../docs/guidelines/design-canon.md),
   surface the matching one-line summary, and **offer to fetch the live spec**
   before committing to the system's conventions — rather than improvising.
   The canon index is thin + lazy: do not load it for a generic, unnamed brief.
1. **Install the real package** — do not hand-recreate its CSS or components.
   Surface the install command for the project's package manager (the
   system's official package, e.g. the shadcn CLI or the `@mui/material`
   distribution) and link the canonical documentation URL.
2. **Never label an approximation as the official system.** If generating
   approximate CSS for a system the project does not yet depend on, label it
   explicitly: *"Approximation of Material Design elevation — not the official
   `@mui/material` package; install the package for production use."*
3. **If no official system is relevant:** pick a deliberate creative direction
   (see Design Read above); never fall back to an unnamed generic aesthetic
   (per `source-discovery-gate`: real source before guessing).

**Grounding precedence** (consistent with `brand-source-of-truth`): consumer
brand tokens > confirmed session decisions > named canon
([`design-canon.md`](../../../docs/guidelines/design-canon.md)) > generated
corpus. Canon is a gap-filler, never an override of a registered brand value.

## Procedure: Produce a grounded design brief (`ui-design-brief` rebound)

1. **Ground** (one call — engine runs the manifest's plan
   product → style → color → landing → typography with decision rules):

   ```bash
   ./scripts-run <skills-root>/corpus-grounding/scripts/ground ground \
     --manifest <skills-root>/design-intelligence/data/manifest.json \
     "<product type + mood + platform>" --json
   ```

2. **Translate selections into the brief** for `state.ui_design`:
   - `layout` ← landing/pattern selection (`Section Order`, CTA placement)
     + the reasoning rule's `Recommended_Pattern`;
   - `components` ← audit reuse first (`existing-ui-audit` inventory wins
     over corpus suggestions — never propose a new component the audit
     already has);
   - `states` ← required five (`empty/loading/error/success/disabled`),
     styled per the selected design language;
   - `microcopy` ← **agent-written, final strings** — the corpus never
     supplies microcopy;
   - `a11y` ← color selection's contrast-adjusted token set + the
     checklist's CRITICAL rows + `accessibility-auditor` method;
   - style/typography/effects/anti-patterns ← the grounded selections
     verbatim, with alternatives listed.
3. **Always surface** the grounded output's `confidence` + `evidence_gap`
   lines in the brief summary — the user signs off on what the corpus
   could NOT support, not only on what it could.
4. On `design_confirmed: true` the directive engine advances; revisions
   loop back here.

### Font delivery columns — which one is the answer

`font-pairings-reference.csv` carries three delivery-adjacent columns and they
are **not** interchangeable. This is the arbitration between them, so the file
and its sibling `data/stacks/nextjs.csv` (row 22: a font-CDN `<link>` sits in
that row's **Don't** column) no longer read as opposite instructions:

| Column | What it answers | Status |
|---|---|---|
| `Google Fonts URL` | *where do I find / verify this font?* | discovery + availability check |
| `Self-Hosted Route` | *how does it get onto the page?* | **the default answer** — `@fontsource/*` package ids derived from the row's own Google-Fonts families; two rows name a foundry file instead (Fontshare pairs with a Google alternative) |
| `CSS Import` | the third-party CDN `@import` | **opt-in only** — emitting it transmits the visitor's IP to the third party; policy owner is [`design-fidelity-mechanics`](../../../docs/guidelines/design-fidelity-mechanics.md) § Asset & imagery discipline ([`ADR-205`](../../../docs/decisions/ADR-205-webfont-delivery-ownership.md)) |

Per-stack route resolution (Next / bundler / asset-pipeline / plain) lives in
[`typography-system`](../typography-system/SKILL.md) § Delivery — one table, not
two.

### Font fallback (no google-fonts index — by design)

The 745 KB Google-Fonts index was rejected (ADR-061 §8): it duplicates a
public API. When a requested font is outside `font-pairings-reference.csv`'s 73
pairings: query `https://fonts.google.com/specimen/<Family>` (or the
`webfonts` API) for metadata, OR propose the nearest curated pairing and
say why. Never invent pairing metadata.

## `MASTER.md` + page overrides ↔ `state.ui_design` (mapping)

The upstream cross-session memory pattern maps onto our delivery state:

| Upstream artifact | Our state | Notes |
|---|---|---|
| `design-system/<project>/MASTER.md` | `state.ui_design` (project-level brief: style, tokens, typography, anti-patterns) | The state is the source of truth during a run. |
| `design-system/<project>/pages/<page>.md` | per-page override entries inside `state.ui_design` (e.g. `pages.<page>` dict) | Page rules override project rules for that page only. |

File persistence stays **opt-in** (`ground … --persist <dir>`) and writes
under the consumer's project as a durable artifact for multi-session
consistency; on a fresh session, re-hydrate `state.ui_design` from
`MASTER.md` + the page file before re-running `design`.

## Grounding the review/polish a11y gate (charts + contrast)

The `review`/`polish` steps gate on `state.ui_review.a11y`. Ground two
finding classes instead of ad-hoc judgment:

- **Chart-type findings** — the grounding CLI (`ground` via
  ./scripts-run) — `…/ground search --manifest … --domain
  chart "<data shape>"` → `Accessibility Grade`, `A11y Fallback`,
  `Color Guidance` columns justify "wrong chart type / missing colorblind
  fallback" findings with a citable row.
- **Contrast findings** — `--domain color "<product>"` returns the
  WCAG-adjusted token set; a finding that a hex pair deviates from the
  adopted set cites the row instead of eyeballing ratios. Auditing
  *method* stays with [`accessibility-auditor`](../accessibility-auditor/SKILL.md).

## Stack guidance (`--stack` axis)

Per-framework Do/Don't corpora (16 stacks) ride the same manifest:

```bash
./scripts-run <skills-root>/corpus-grounding/scripts/ground search \
  --manifest <skills-root>/design-intelligence/data/manifest.json \
  --stack react "list rerender memo" [--filter "Severity=HIGH"]
```

Stack executors ([`blade-ui`](../blade-ui/SKILL.md),
[`livewire`](../livewire/SKILL.md), [`flux`](../flux/SKILL.md),
[`react-shadcn-ui`](../react-shadcn-ui/SKILL.md),
[`tailwind-engineer`](../tailwind-engineer/SKILL.md)) pull idiomatic
guidance + docs URLs from here instead of memory.

## Output format

1. Grounded brief candidates per `state.ui_design` slot (layout,
   components, states, microcopy placeholder-free, a11y) — selections
   cited per corpus row.
2. The grounded output's `confidence` label + every `evidence_gap` line,
   verbatim, in the brief summary.
3. Alternatives list per domain so the human can swap before
   `design_confirmed`.

## Do NOT

- Do NOT let the corpus write microcopy — it supplies constraint sets;
  final strings are agent-written (placeholder lock stays in force).
- Do NOT import the engine into `directives/ui/design.ts` — council
  boundary; the corpus call lives in this skill layer.
- Do NOT propose a new component the `existing-ui-audit` inventory
  already covers — audit findings outrank corpus suggestions.
- Do NOT hide low confidence — the user signs off on the gaps too.

## Diagram-type routing — route on the verb

Choose a visualization by the *intent verb*, not the noun. Count the nouns
before you draw (input-complexity triage): 1–2 → inline prose or a single
shape; 3–7 → one diagram; 8+ → split or summarize, never one dense picture.

| The user asks… | Intent | Draw |
|---|---|---|
| "how does X **work** / flow" | illustrative (intuition) | flowchart / sequence — illustrative default |
| "what is X's **architecture** / structure" | reference (structural) | structural diagram (boxes + typed edges) |
| a **cycle** / loop / lifecycle | — | a **stepper widget**, never a hand-drawn ring |
| a **DB schema / ERD** / entity relations | — | **mermaid**, never hand-placed SVG |

### Geometric pre-checks (run BEFORE finalizing an SVG/diagram)

Ranked by failure rate — procedures, not constants:

1. **viewBox safety** — compute the lowest + rightmost element (plus a buffer)
   and set the viewBox from that; never assume the default fits.
2. **arrow-through-box trace** — trace every arrow's path and confirm it does
   not cross through an unrelated box before drawing it.
3. **box-width-from-longest-label** — size each box from its longest label
   before placing it, so text never overflows.

(Reference-only: any color/easing/frame values come from the consumer's tokens
or a maintained upstream — this skill vendors no drawn-asset corpus.)

## Interplay (who owns what)

| Concern | Owner |
|---|---|
| What already exists (components, tokens) | [`existing-ui-audit`](../existing-ui-audit/SKILL.md) — mandatory pre-step; audit findings outrank corpus suggestions |
| What to build (grounded selection) | **this skill** |
| Stack-agnostic heuristics + flow | [`fe-design`](../fe-design/SKILL.md) — invokes this skill for grounding |
| Orchestration gates + locks | `directives/ui/{design,review,polish}.ts` — never import the engine |
| WCAG audit method | [`accessibility-auditor`](../accessibility-auditor/SKILL.md) |
| Token authoring | [`design-tokens`](../design-tokens/SKILL.md) |
| Lo-fi structure exploration (pre-selection) | [`wireframe`](../wireframe/SKILL.md) — disposable greyscale variants |
| Multiple hi-fi options (post-selection) | [`design-variations`](../design-variations/SKILL.md) — grounds each variation via this skill |
| Fixed-canvas slide decks | [`html-deck`](../html-deck/SKILL.md) — own medium, still corpus-grounded |

## Gotchas

- Corpus grounds **pre-action selection** — do not use it as mid-task
  reference (open `references/` instead) or as a validator (rules own that).
- Empty result ≠ error: surface the evidence gap and proceed on priors.
- Keep queries product-shaped ("fintech dashboard", "luxury e-commerce
  mobile") — the detect map routes generic words to `style`.

## Anti-slop discipline

Before finalizing any design brief, cross-check against
[`docs/guidelines/design-antipatterns.md`](../../../docs/guidelines/design-antipatterns.md)
— especially the Color (C1–C5), Typography (T7–T8), and Layout (L1–L2) sections.
If the grounded corpus selection lands on a pattern in the catalog, either invoke
the override condition or adjust the selection.
For typography this is **a field, not a memory test**: a
`font-pairings-reference.csv` row whose heading or body font is a T7 overused-AI
default carries it in its `AI-Default Flag` column (`T7:<font>`; 15 of 73 rows) —
read the field. An empty flag means the row carries no T7 font, so a pairing is
never "flagged by association" (Poppins + Open Sans, the example most often
cited as flagged, carries none). T8 (single typeface for everything) needs no
column: it is `Heading Font == Body Font` on the row. A flag is a visible
conflict to resolve, never a ban — the catalog's override condition still
applies. Run the AI-slop originality
self-test (catalog § "The AI-slop originality self-test") on the chosen aesthetic
direction before emitting `design_confirmed`.

## Why this skill is rich

This skill carries 11 tabular CSVs (161-row UI-reasoning decision map,
WCAG-adjusted color token sets, 84 styles, 73 font pairings, 25 chart rules, UX/
react/mobile guidelines) plus 16 prose design-language specs and a 10-category
pre-delivery checklist. Agents need to see the full corpus to make grounded
selections — condensing to a summary destroys the evidence trail ("corpus
row 47 justifies the palette choice") that the skill's output contract requires.
Compressing the 16 design-language specs into fragments makes the style
selection unreproducible and audit-unfriendly.

## Policies

- Upstream MIT + Apache-2.0 obligations: [`ATTRIBUTION.md`](ATTRIBUTION.md).
- Refresh: quarterly per the manifest; bump `upstream.last_checked` on
  every refresh (ADR-061 §6).
