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design language·aya-washi-proof

AYA Washi Proof

A portable design language for agents: download the markdown first, then inspect the preview, tokens, and rules as needed.

Download DESIGN.md

Portable DESIGN.md source of truth for most agents and apps.

the spec

specification

philosophy
summary
AYA Washi Proof is a text-first evidence workspace where Kyoto paper craft, woven context, and modern AI transparency meet. It treats research synthesis as a quiet stack of tactile paper surfaces: restrained, legible, provenance-aware, and precise enough for high-trust decisions.
values
Evidence before decoration: every visual accent signals confidence, provenance, status, or reading order.Paper tactility without nostalgia: washi grain, deckled separators, and fiber-like underlays remain quiet and functional.Woven context synthesis: related claims, sources, and AI reasoning are interlaced in visible threads rather than hidden behind generic summaries.Wabi-sabi restraint: slight asymmetry and soft mineral tones create humanity without compromising rigor.
anti-values
×Glossy AI dashboard chrome, neon gradients, glassmorphism, or saturated status confetti.×Generic card grids where provenance, confidence, and reasoning are visually indistinguishable.×Decorative Japanese motifs used as surface ornament without structural purpose.
tokens
borders4 items
accent width
3px
character
Low-contrast mineral hairlines that become 2px on focus and active evidence states.
default width
1px
style
solid with occasional dotted deckle separators
colors12 items
accent
#6E8791
background
#F4F1EA
border
#D8D0C2
error
#9A5149
info
#5F7882
muted
#767166
primary
#4F5D50
secondary
#8B7C61
success
#5E745A
surface
#FBFAF6
text
#24231F
warning
#A78347
motion3 items
duration
150ms
easing
cubic-bezier(0.2, 0, 0.1, 1)
philosophy
Small tactile settling: underline weave darkens, cards press inward by 1px, and disclosure panels fade without bounce.
radii5 items
full
9999px
lg
10px
md
5px
none
0
sm
2px
shadows3 items
lg
inset 0 0 0 1px rgba(216,208,194,0.9), 0 20px 42px rgba(66,58,44,0.10)
md
inset 0 0 0 1px rgba(216,208,194,0.82), 0 8px 18px rgba(66,58,44,0.07)
sm
inset 0 0 0 1px rgba(216,208,194,0.72), 0 1px 0 rgba(36,35,31,0.04)
spacing2 items
base
8px
scale
4, 8, 12, 16, 24, 32, 48, 64
surfaces3 items
bg pattern
Very quiet cross-fiber radial/linear gradient on the page background plus denser paper grain only inside raised surfaces.
card style
Flat evidence slips with 5px corners, mineral left rails, deckled dotted separators, and compact provenance chips.
treatment
Paper-white and warm grey planes with low-opacity washi fiber gradients, inset hairlines, and no glossy highlights.
typography8 items
base size
16px
body font
Noto Sans JP
google fonts url
https://fonts.googleapis.com/css2?family=BIZ+UDPMincho:wght@400;700&family=Noto+Sans+JP:wght@400;500;700&family=IBM+Plex+Mono:wght@400;500&display=swap
heading font
BIZ UDPMincho
letter spacing
-0.012em
line height
1.58
mono font
IBM Plex Mono
scale ratio
1.2
rules
composition
Use a reading-first workspace: a slim navigation ledger, a central woven synthesis column, and a right evidence margin. Summaries are compact bands, not dominant hero cards.
density

Moderately dense for expert review: many evidence artifacts are visible, but each claim keeps a readable line length and clear source metadata.

hierarchy
Hierarchy comes from typographic contrast, rule placement, source rails, and whitespace. Color is sparse and semantic: status, confidence, provenance, and attention only.
signature patterns
Woven provenance rails combine two or three repeating-linear-gradient stripes on the left edge of evidence cards to show source mixture and confidence.Deckled separators use dotted borders over a faint torn-paper gradient mask between summary, reasoning, and citation blocks.AI transparency callouts are narrow paper bookmarks that overlap card edges with mono labels for model step, uncertainty, and last-source timestamp.Dashboard summaries appear as quiet mineral tally strips with one emphasized number, a tiny confidence ruler, and no large filled chart blocks.Focus and selected states add an offset underline weave plus a two-pixel mineral border instead of bright backgrounds.
layout
breakpoints
Desktop >= 1180px three columns; tablet 720-1179px collapses evidence margin below the synthesis thread; mobile < 720px becomes a single paper stack with horizontal provenance chips.
grid

Desktop uses a 72px ledger rail, minmax(520px, 1fr) synthesis column, and 340px evidence margin with 24px gutters; cards align to an 8px baseline.

whitespace

Ma is explicit around reading zones: broad outer margins, tight metadata clusters, and calm 24-32px breathing room between synthesis sections.

guidance
do
  • Use off-white surfaces, mineral semantic accents, and black-brown text with WCAG-conscious contrast.
  • Make confidence, evidence status, and source provenance visible in rails, chips, and compact rulers.
  • Keep AI reasoning inspectable with short mono bookmarks and woven context links between claims.
  • Let paper texture be structural and subtle: clipped to panels, below text, and low opacity.
avoid
  • Do not use saturated rainbow status palettes, neon AI motifs, glassy panels, or generic purple gradients.
  • Do not hide sources behind unstyled footnotes or make every card visually identical regardless of evidence quality.
  • Do not over-round controls; this language prefers paper slips, small radii, and crisp hairlines.
  • Do not add decorative Japanese patterns unless they encode layout, provenance, or state.
katagami spec
# AYA Washi Proof

## Philosophy

AYA Washi Proof is a text-first evidence workspace where Kyoto paper craft, woven context, and modern AI transparency meet. It treats research synthesis as a quiet stack of tactile paper surfaces: restrained, legible, provenance-aware, and precise enough for high-trust decisions.

### Values

- Evidence before decoration: every visual accent signals confidence, provenance, status, or reading order.
- Paper tactility without nostalgia: washi grain, deckled separators, and fiber-like underlays remain quiet and functional.
- Woven context synthesis: related claims, sources, and AI reasoning are interlaced in visible threads rather than hidden behind generic summaries.
- Wabi-sabi restraint: slight asymmetry and soft mineral tones create humanity without compromising rigor.

### Anti-Values

- Glossy AI dashboard chrome, neon gradients, glassmorphism, or saturated status confetti.
- Generic card grids where provenance, confidence, and reasoning are visually indistinguishable.
- Decorative Japanese motifs used as surface ornament without structural purpose.

### Visual Character

- Layered paper panels use off-white background, warmer surface cards, one-pixel mineral borders, and inset hairline shadows instead of floating SaaS drop shadows.
- Evidence cards include a narrow woven left rail made from repeating linear gradients that encode source provenance and confidence density.
- Large text blocks sit in an editorial two-column grid with generous ma gutters, short measure, and sticky marginal metadata for source, confidence, and AI rationale.
- Subtle washi grain is rendered with low-opacity radial and linear gradients clipped to surfaces, never full-screen texture that reduces contrast.
- Interaction states shift by border weight, underline weave, and small mineral chips rather than large color fills or animated spectacle.

## Tokens

### Borders

- **Accent Width**: 3px
- **Character**: Low-contrast mineral hairlines that become 2px on focus and active evidence states.
- **Default Width**: 1px
- **Style**: solid with occasional dotted deckle separators

### Colors

| Name | Value |
|------|-------|
| accent | `#6E8791` |
| background | `#F4F1EA` |
| border | `#D8D0C2` |
| error | `#9A5149` |
| info | `#5F7882` |
| muted | `#767166` |
| primary | `#4F5D50` |
| secondary | `#8B7C61` |
| success | `#5E745A` |
| surface | `#FBFAF6` |
| text | `#24231F` |
| warning | `#A78347` |

### Motion

- **Duration**: 150ms
- **Easing**: cubic-bezier(0.2, 0, 0.1, 1)
- **Philosophy**: Small tactile settling: underline weave darkens, cards press inward by 1px, and disclosure panels fade without bounce.

### Radii

- **Full**: 9999px
- **Lg**: 10px
- **Md**: 5px
- **None**: 0
- **Sm**: 2px

### Shadows

- **Lg**: inset 0 0 0 1px rgba(216,208,194,0.9), 0 20px 42px rgba(66,58,44,0.10)
- **Md**: inset 0 0 0 1px rgba(216,208,194,0.82), 0 8px 18px rgba(66,58,44,0.07)
- **Sm**: inset 0 0 0 1px rgba(216,208,194,0.72), 0 1px 0 rgba(36,35,31,0.04)

### Spacing

- **Base**: 8px
- **Scale**: [4,8,12,16,24,32,48,64]

### Surfaces

- **Bg Pattern**: Very quiet cross-fiber radial/linear gradient on the page background plus denser paper grain only inside raised surfaces.
- **Card Style**: Flat evidence slips with 5px corners, mineral left rails, deckled dotted separators, and compact provenance chips.
- **Treatment**: Paper-white and warm grey planes with low-opacity washi fiber gradients, inset hairlines, and no glossy highlights.

### Typography

- **Base Size**: 16px
- **Body Font**: Noto Sans JP
- **Google Fonts Url**: https://fonts.googleapis.com/css2?family=BIZ+UDPMincho:wght@400;700&family=Noto+Sans+JP:wght@400;500;700&family=IBM+Plex+Mono:wght@400;500&display=swap
- **Heading Font**: BIZ UDPMincho
- **Letter Spacing**: -0.012em
- **Line Height**: 1.58
- **Mono Font**: IBM Plex Mono
- **Scale Ratio**: 1.2

## Rules

### Composition

Use a reading-first workspace: a slim navigation ledger, a central woven synthesis column, and a right evidence margin. Summaries are compact bands, not dominant hero cards.

### Density

Moderately dense for expert review: many evidence artifacts are visible, but each claim keeps a readable line length and clear source metadata.

### Hierarchy

Hierarchy comes from typographic contrast, rule placement, source rails, and whitespace. Color is sparse and semantic: status, confidence, provenance, and attention only.

### Signature Patterns

- Woven provenance rails combine two or three repeating-linear-gradient stripes on the left edge of evidence cards to show source mixture and confidence.
- Deckled separators use dotted borders over a faint torn-paper gradient mask between summary, reasoning, and citation blocks.
- AI transparency callouts are narrow paper bookmarks that overlap card edges with mono labels for model step, uncertainty, and last-source timestamp.
- Dashboard summaries appear as quiet mineral tally strips with one emphasized number, a tiny confidence ruler, and no large filled chart blocks.
- Focus and selected states add an offset underline weave plus a two-pixel mineral border instead of bright backgrounds.

## Layout

### Breakpoints

Desktop >= 1180px three columns; tablet 720-1179px collapses evidence margin below the synthesis thread; mobile < 720px becomes a single paper stack with horizontal provenance chips.

### Grid

Desktop uses a 72px ledger rail, minmax(520px, 1fr) synthesis column, and 340px evidence margin with 24px gutters; cards align to an 8px baseline.

### Whitespace

Ma is explicit around reading zones: broad outer margins, tight metadata clusters, and calm 24-32px breathing room between synthesis sections.

## Guidance

### Do

- Use off-white surfaces, mineral semantic accents, and black-brown text with WCAG-conscious contrast.
- Make confidence, evidence status, and source provenance visible in rails, chips, and compact rulers.
- Keep AI reasoning inspectable with short mono bookmarks and woven context links between claims.
- Let paper texture be structural and subtle: clipped to panels, below text, and low opacity.

### Don't

- Do not use saturated rainbow status palettes, neon AI motifs, glassy panels, or generic purple gradients.
- Do not hide sources behind unstyled footnotes or make every card visually identical regardless of evidence quality.
- Do not over-round controls; this language prefers paper slips, small radii, and crisp hairlines.
- Do not add decorative Japanese patterns unless they encode layout, provenance, or state.
DESIGN.md
---
version: "alpha"
name: "AYA Washi Proof"
description: "Agent-curated design language exported from Katagami as DESIGN.md."
colors:
  accent: "#6E8791"
  background: "#F4F1EA"
  border: "#D8D0C2"
  error: "#9A5149"
  info: "#5F7882"
  muted: "#767166"
  primary: "#4F5D50"
  secondary: "#8B7C61"
  success: "#5E745A"
  surface: "#FBFAF6"
  text: "#24231F"
  warning: "#A78347"
typography:
  headline-lg:
    fontFamily: "BIZ UDPMincho"
    fontSize: "1.728rem"
    fontWeight: 700
    lineHeight: 1.1
    letterSpacing: "-0.012em"
  headline-md:
    fontFamily: "BIZ UDPMincho"
    fontSize: "1.44rem"
    fontWeight: 600
    lineHeight: 1.15
    letterSpacing: "-0.012em"
  body-md:
    fontFamily: "Noto Sans JP"
    fontSize: "16px"
    fontWeight: 400
    lineHeight: 1.58
    letterSpacing: "-0.012em"
  label-md:
    fontFamily: "IBM Plex Mono"
    fontSize: "0.75rem"
    fontWeight: 600
    lineHeight: 1
    letterSpacing: "0.08em"
rounded:
  full: "9999px"
  lg: "10px"
  md: "5px"
  none: "0px"
  sm: "2px"
spacing:
  base: "8px"
  xs: "4px"
  sm: "8px"
  md: "12px"
  lg: "16px"
  xl: "24px"
  2xl: "32px"
  3xl: "48px"
  4xl: "64px"
components:
  color-reference-accent:
    backgroundColor: "{colors.accent}"
  color-reference-background:
    backgroundColor: "{colors.background}"
  color-reference-border:
    backgroundColor: "{colors.border}"
  color-reference-error:
    backgroundColor: "{colors.error}"
  color-reference-info:
    backgroundColor: "{colors.info}"
  color-reference-muted:
    backgroundColor: "{colors.muted}"
  color-reference-primary:
    backgroundColor: "{colors.primary}"
  color-reference-secondary:
    backgroundColor: "{colors.secondary}"
  color-reference-success:
    backgroundColor: "{colors.success}"
  color-reference-surface:
    backgroundColor: "{colors.surface}"
  color-reference-text:
    backgroundColor: "{colors.text}"
  color-reference-warning:
    backgroundColor: "{colors.warning}"
  button-primary:
    backgroundColor: "{colors.primary}"
    textColor: "#ffffff"
    typography: "{typography.label-md}"
    rounded: "{rounded.md}"
    padding: "{spacing.md}"
  card-surface:
    backgroundColor: "{colors.surface}"
    textColor: "{colors.text}"
    rounded: "{rounded.md}"
    padding: "{spacing.md}"
  input-default:
    backgroundColor: "{colors.surface}"
    textColor: "{colors.text}"
    rounded: "{rounded.md}"
    height: "44px"
---

# AYA Washi Proof

## Overview

AYA Washi Proof is a text-first evidence workspace where Kyoto paper craft, woven context, and modern AI transparency meet. It treats research synthesis as a quiet stack of tactile paper surfaces: restrained, legible, provenance-aware, and precise enough for high-trust decisions.

### Values

- Evidence before decoration: every visual accent signals confidence, provenance, status, or reading order.
- Paper tactility without nostalgia: washi grain, deckled separators, and fiber-like underlays remain quiet and functional.
- Woven context synthesis: related claims, sources, and AI reasoning are interlaced in visible threads rather than hidden behind generic summaries.
- Wabi-sabi restraint: slight asymmetry and soft mineral tones create humanity without compromising rigor.

### Anti-Values

- Glossy AI dashboard chrome, neon gradients, glassmorphism, or saturated status confetti.
- Generic card grids where provenance, confidence, and reasoning are visually indistinguishable.
- Decorative Japanese motifs used as surface ornament without structural purpose.

### Visual Character

- Layered paper panels use off-white background, warmer surface cards, one-pixel mineral borders, and inset hairline shadows instead of floating SaaS drop shadows.
- Evidence cards include a narrow woven left rail made from repeating linear gradients that encode source provenance and confidence density.
- Large text blocks sit in an editorial two-column grid with generous ma gutters, short measure, and sticky marginal metadata for source, confidence, and AI rationale.
- Subtle washi grain is rendered with low-opacity radial and linear gradients clipped to surfaces, never full-screen texture that reduces contrast.
- Interaction states shift by border weight, underline weave, and small mineral chips rather than large color fills or animated spectacle.

## Colors

Use the YAML color tokens as the normative palette. The prose below names the roles agents should preserve when generating UI.

| Token | Value |
|-------|-------|
| accent | `#6E8791` |
| background | `#F4F1EA` |
| border | `#D8D0C2` |
| error | `#9A5149` |
| info | `#5F7882` |
| muted | `#767166` |
| primary | `#4F5D50` |
| secondary | `#8B7C61` |
| success | `#5E745A` |
| surface | `#FBFAF6` |
| text | `#24231F` |
| warning | `#A78347` |

## Typography

- **Headline-Lg**: BIZ UDPMincho, 1.728rem, weight 700, line-height 1.1.
- **Headline-Md**: BIZ UDPMincho, 1.44rem, weight 600, line-height 1.15.
- **Body-Md**: Noto Sans JP, 16px, weight 400, line-height 1.58.
- **Label-Md**: IBM Plex Mono, 0.75rem, weight 600, line-height 1.

## Layout

### Spacing Tokens

- **Base**: `8px`
- **Xs**: `4px`
- **Sm**: `8px`
- **Md**: `12px`
- **Lg**: `16px`
- **Xl**: `24px`
- **2xl**: `32px`
- **3xl**: `48px`
- **4xl**: `64px`

### Breakpoints

Desktop >= 1180px three columns; tablet 720-1179px collapses evidence margin below the synthesis thread; mobile < 720px becomes a single paper stack with horizontal provenance chips.

### Grid

Desktop uses a 72px ledger rail, minmax(520px, 1fr) synthesis column, and 340px evidence margin with 24px gutters; cards align to an 8px baseline.

### Whitespace

Ma is explicit around reading zones: broad outer margins, tight metadata clusters, and calm 24-32px breathing room between synthesis sections.

## Elevation & Depth

### Shadows

- **Lg**: inset 0 0 0 1px rgba(216,208,194,0.9), 0 20px 42px rgba(66,58,44,0.10)
- **Md**: inset 0 0 0 1px rgba(216,208,194,0.82), 0 8px 18px rgba(66,58,44,0.07)
- **Sm**: inset 0 0 0 1px rgba(216,208,194,0.72), 0 1px 0 rgba(36,35,31,0.04)

## Shapes

### Rounded

- **Full**: `9999px`
- **Lg**: `10px`
- **Md**: `5px`
- **None**: `0px`
- **Sm**: `2px`

### Surfaces

- **Bg Pattern**: Very quiet cross-fiber radial/linear gradient on the page background plus denser paper grain only inside raised surfaces.
- **Card Style**: Flat evidence slips with 5px corners, mineral left rails, deckled dotted separators, and compact provenance chips.
- **Treatment**: Paper-white and warm grey planes with low-opacity washi fiber gradients, inset hairlines, and no glossy highlights.

### Borders

- **Accent Width**: 3px
- **Character**: Low-contrast mineral hairlines that become 2px on focus and active evidence states.
- **Default Width**: 1px
- **Style**: solid with occasional dotted deckle separators

## Components

### Composition

Use a reading-first workspace: a slim navigation ledger, a central woven synthesis column, and a right evidence margin. Summaries are compact bands, not dominant hero cards.

### Density

Moderately dense for expert review: many evidence artifacts are visible, but each claim keeps a readable line length and clear source metadata.

### Hierarchy

Hierarchy comes from typographic contrast, rule placement, source rails, and whitespace. Color is sparse and semantic: status, confidence, provenance, and attention only.

### Signature Patterns

- Woven provenance rails combine two or three repeating-linear-gradient stripes on the left edge of evidence cards to show source mixture and confidence.
- Deckled separators use dotted borders over a faint torn-paper gradient mask between summary, reasoning, and citation blocks.
- AI transparency callouts are narrow paper bookmarks that overlap card edges with mono labels for model step, uncertainty, and last-source timestamp.
- Dashboard summaries appear as quiet mineral tally strips with one emphasized number, a tiny confidence ruler, and no large filled chart blocks.
- Focus and selected states add an offset underline weave plus a two-pixel mineral border instead of bright backgrounds.

## shadcn/ui Usage

When the target app uses shadcn/ui, copy DESIGN.md with shadcn instead of the plain DESIGN.md. It contains the same Katagami design-language source plus the shadcn/ui primitives, imports, theme variables, component recipes, and preview-shot guidance.

DESIGN.md with shadcn: `/language/en-019ed833-c530-7622-a612-cc5ec5fe8222/DESIGN.with-shadcn.md`.

The shadcn page also exposes optional machine-readable files for automation, but the human-facing handoff is DESIGN.md with shadcn.

Install recommended primitives with `npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table`.

Use these primitives in shadcn apps:
- button
- card
- input
- textarea
- select
- dialog
- sheet
- tabs
- badge
- separator
- checkbox
- switch
- slider
- tooltip
- dropdown-menu
- table

Implementation rule for agents: import shadcn primitives from `@/components/ui/*`, apply the generated CSS variables first, then compose the language-specific recipes from the companion MD. Katagami remains the source of truth; shadcn names are the implementation surface.

## Do's and Don'ts

- Do Use off-white surfaces, mineral semantic accents, and black-brown text with WCAG-conscious contrast.
- Do Make confidence, evidence status, and source provenance visible in rails, chips, and compact rulers.
- Do Keep AI reasoning inspectable with short mono bookmarks and woven context links between claims.
- Do Let paper texture be structural and subtle: clipped to panels, below text, and low opacity.
- Don't Do not use saturated rainbow status palettes, neon AI motifs, glassy panels, or generic purple gradients.
- Don't Do not hide sources behind unstyled footnotes or make every card visually identical regardless of evidence quality.
- Don't Do not over-round controls; this language prefers paper slips, small radii, and crisp hairlines.
- Don't Do not add decorative Japanese patterns unless they encode layout, provenance, or state.
shadcn/ui theme
```json
{
  "$schema": "https://ui.shadcn.com/schema/registry-item.json",
  "name": "aya-washi-proof",
  "type": "registry:theme",
  "title": "AYA Washi Proof shadcn Theme",
  "cssVars": {
    "theme": {},
    "light": {
      "background": "#F4F1EA",
      "foreground": "#24231F",
      "card": "#FBFAF6",
      "card-foreground": "#24231F",
      "popover": "#FBFAF6",
      "popover-foreground": "#24231F",
      "primary": "#4F5D50",
      "primary-foreground": "#ffffff",
      "secondary": "#8B7C61",
      "secondary-foreground": "#ffffff",
      "muted": "#767166",
      "muted-foreground": "#24231F",
      "accent": "#6E8791",
      "accent-foreground": "#ffffff",
      "destructive": "#9A5149",
      "border": "#D8D0C2",
      "input": "#D8D0C2",
      "ring": "#6E8791",
      "chart-1": "#4F5D50",
      "chart-2": "#8B7C61",
      "chart-3": "#6E8791",
      "chart-4": "#5E745A",
      "chart-5": "#A78347",
      "sidebar": "#FBFAF6",
      "sidebar-foreground": "#24231F",
      "sidebar-primary": "#4F5D50",
      "sidebar-primary-foreground": "#ffffff",
      "sidebar-accent": "#5F7882",
      "sidebar-accent-foreground": "#ffffff",
      "sidebar-border": "#D8D0C2",
      "sidebar-ring": "#6E8791",
      "radius": "5px"
    },
    "dark": {
      "background": "#0f1115",
      "foreground": "#f8fafc",
      "card": "#181b22",
      "card-foreground": "#f8fafc",
      "popover": "#181b22",
      "popover-foreground": "#f8fafc",
      "primary": "#4F5D50",
      "primary-foreground": "#ffffff",
      "secondary": "#252a33",
      "secondary-foreground": "#f8fafc",
      "muted": "#252a33",
      "muted-foreground": "#a1a1aa",
      "accent": "#6E8791",
      "accent-foreground": "#ffffff",
      "destructive": "#9A5149",
      "border": "#303642",
      "input": "#303642",
      "ring": "#6E8791",
      "chart-1": "#4F5D50",
      "chart-2": "#8B7C61",
      "chart-3": "#6E8791",
      "chart-4": "#5E745A",
      "chart-5": "#A78347",
      "sidebar": "#181b22",
      "sidebar-foreground": "#f8fafc",
      "sidebar-primary": "#4F5D50",
      "sidebar-primary-foreground": "#ffffff",
      "sidebar-accent": "#6E8791",
      "sidebar-accent-foreground": "#ffffff",
      "sidebar-border": "#303642",
      "sidebar-ring": "#6E8791",
      "radius": "5px"
    }
  },
  "meta": {
    "source": "katagami",
    "languageId": "en-019ed833-c530-7622-a612-cc5ec5fe8222",
    "slug": "aya-washi-proof",
    "componentManifest": [
      "button",
      "card",
      "input",
      "textarea",
      "select",
      "dialog",
      "sheet",
      "tabs",
      "badge",
      "separator",
      "checkbox",
      "switch",
      "slider",
      "tooltip",
      "dropdown-menu",
      "table"
    ],
    "installCommand": "npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table",
    "nativeTokenNames": {
      "borders": [
        "accent_width",
        "character",
        "default_width",
        "style"
      ],
      "colors": [
        "accent",
        "background",
        "border",
        "error",
        "info",
        "muted",
        "primary",
        "secondary",
        "success",
        "surface",
        "text",
        "warning"
      ],
      "motion": [
        "duration",
        "easing",
        "philosophy"
      ],
      "radii": [
        "full",
        "lg",
        "md",
        "none",
        "sm"
      ],
      "shadows": [
        "lg",
        "md",
        "sm"
      ],
      "spacing": [
        "base",
        "scale"
      ],
      "surfaces": [
        "bg_pattern",
        "card_style",
        "treatment"
      ],
      "typography": [
        "base_size",
        "body_font",
        "google_fonts_url",
        "heading_font",
        "letter_spacing",
        "line_height",
        "mono_font",
        "scale_ratio"
      ]
    }
  }
}
```
in the wild

embodiments

Design Language Preview

AYA Washi Proof

Color Palette

primary
secondary
accent
background
surface
text
muted
border
error
success
warning
info

Typography

h1

Heading One

h2

Heading Two

h3

Heading Three

h4

Heading Four

body

Body text demonstrates the reading experience. Good typography is invisible — it lets the content speak without drawing attention to the letterforms themselves.

caption

Caption text for supplementary information and metadata.

code
const theme = applyTokens(designLanguage);
render(<App theme={theme} />);

Buttons

Form Controls

Navigation

tabs
Overview content area with contextual information about the design language.
segmented control
dropdown menu

Feedback & Status

badges
NewDefaultActivePendingErrorOutline
alerts
Info: A new version is available.
Success: Changes saved successfully.
Warning: Storage is almost full.
Error: Failed to process request.
progress
66% complete
tooltip
avatar
AKJDML

Containers & Overlays

card

Card Title

Cards group related content and actions. This example shows a basic content card with a title and description.

accordion

Design tokens are the atomic values of a design system — colors, spacing, typography, and other values stored as key-value pairs.

dialog
separator

Data Display

table
NameStatusCategoryScore
Neo BrutalismPublishedMaximalist94
Aero GlassDraftSpatial87
Signal UIReviewEnterprise91
stat cards
Languages
42
+12%
Elements
3,150
+8%
Usage
18.4k
+23%
DESIGN.md

at a glance

Palette

Typography

headline-lgBIZ UDPMincho · 28px · 700

The quick brown fox jumps

headline-mdBIZ UDPMincho · 23px · 600

The quick brown fox jumps

body-mdNoto Sans JP · 16px · 400

The quick brown fox jumps

label-mdIBM Plex Mono · 12px · 600

The quick brown fox jumps

Components

New
Card title

Components rendered with this language’s tokens — colors, type, and rounded corners as specified.

Spacing

  • base8px
  • xs4px
  • sm8px
  • md12px
  • lg16px
  • xl24px
  • 2xl32px
  • 3xl48px
  • 4xl64px

Shape

full9999px
lg10px
md5px
none0px
sm2px
shadcn/ui

implementation kit

needs agent-authored kitcompatibility fallback
shadcn compatibility only
The generated theme variables are available, but the polished shadcn component recipes and shots have not been authored by the Katagami agent yet.
fallbackprimitives render
Compatibility proof
Local shadcn-style primitives accept the generated theme variables.
primaryaccentsurfacemutedwarningerror
table rhythm
buttonok
cardok
inputok
recommendedcompatibility fallback

DESIGN.md with shadcn

Copy this when the target app uses shadcn/ui. It packages the Katagami DESIGN.md context with the install list, theme variables, component recipes, preview-shot contract, and starter TSX in one Markdown companion.

advanced implementation filesoptional machine-readable theme, CSS, TSX starter, recipes, and preview contract
shadcn add
npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table
theme css
:root {
  --background: #F4F1EA;
  --foreground: #24231F;
  --card: #FBFAF6;
  --card-foreground: #24231F;
  --popover: #FBFAF6;
  --popover-foreground: #24231F;
  --primary: #4F5D50;
  --primary-foreground: #ffffff;
  --secondary: #8B7C61;
  --secondary-foreground: #ffffff;
  --muted: #767166;
  --muted-foreground: #24231F;
  --accent: #6E8791;
  --accent-foreground: #ffffff;
  --destructive: #9A5149;
  --border: #D8D0C2;
  --input: #D8D0C2;
  --ring: #6E8791;
  --chart-1: #4F5D50;
  --chart-2: #8B7C61;
  --chart-3: #6E8791;
  --chart-4: #5E745A;
  --chart-5: #A78347;
  --sidebar: #FBFAF6;
  --sidebar-foreground: #24231F;
  --sidebar-primary: #4F5D50;
  --sidebar-primary-foreground: #ffffff;
  --sidebar-accent: #5F7882;
  --sidebar-accent-foreground: #ffffff;
  --sidebar-border: #D8D0C2;
  --sidebar-ring: #6E8791;
  --radius: 5px;
}

.dark {
  --background: #0f1115;
  --foreground: #f8fafc;
  --card: #181b22;
  --card-foreground: #f8fafc;
  --popover: #181b22;
  --popover-foreground: #f8fafc;
  --primary: #4F5D50;
  --primary-foreground: #ffffff;
  --secondary: #252a33;
  --secondary-foreground: #f8fafc;
  --muted: #252a33;
  --muted-foreground: #a1a1aa;
  --accent: #6E8791;
  --accent-foreground: #ffffff;
  --destructive: #9A5149;
  --border: #303642;
  --input: #303642;
  --ring: #6E8791;
  --chart-1: #4F5D50;
  --chart-2: #8B7C61;
  --chart-3: #6E8791;
  --chart-4: #5E745A;
  --chart-5: #A78347;
  --sidebar: #181b22;
  --sidebar-foreground: #f8fafc;
  --sidebar-primary: #4F5D50;
  --sidebar-primary-foreground: #ffffff;
  --sidebar-accent: #6E8791;
  --sidebar-accent-foreground: #ffffff;
  --sidebar-border: #303642;
  --sidebar-ring: #6E8791;
  --radius: 5px;
}
tsx starter
import { Badge } from "@/components/ui/badge";
import { Button } from "@/components/ui/button";
import {
  Card,
  CardContent,
  CardDescription,
  CardFooter,
  CardHeader,
  CardTitle,
} from "@/components/ui/card";
import { Input } from "@/components/ui/input";
import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";

export function AyaWashiProofShadcnKit() {
  return (
    <section className="grid gap-4 rounded-[var(--radius)] border bg-background p-4 text-foreground">
      <div className="flex items-start justify-between gap-4">
        <div>
          <Badge variant="outline">shadcn/ui</Badge>
          <h2 className="mt-3 text-2xl font-semibold tracking-tight">AYA Washi Proof</h2>
          <p className="mt-1 max-w-xl text-sm text-muted-foreground">
            Use the Katagami registry theme, then compose these shadcn primitives
            with the language-specific component recipes.
          </p>
        </div>
        <Button>Apply theme</Button>
      </div>

      <Tabs defaultValue="components">
        <TabsList>
          <TabsTrigger value="components">Components</TabsTrigger>
          <TabsTrigger value="states">States</TabsTrigger>
          <TabsTrigger value="export">Export</TabsTrigger>
        </TabsList>
      </Tabs>

      <Card>
        <CardHeader>
          <CardTitle>Component recipe</CardTitle>
          <CardDescription>
            Replace this starter content with the agent-authored product scene
            from components.md and preview-shots.json.
          </CardDescription>
        </CardHeader>
        <CardContent className="grid gap-3 sm:grid-cols-[1fr_auto]">
          <Input defaultValue="Tokenized shadcn surface" aria-label="Recipe name" />
          <Button variant="secondary">Preview state</Button>
        </CardContent>
        <CardFooter className="justify-between">
          <Badge>Ready</Badge>
          <Button variant="outline">Copy recipe</Button>
        </CardFooter>
      </Card>
    </section>
  );
}
theme JSONcompatibility fallback
{
  "$schema": "https://ui.shadcn.com/schema/registry-item.json",
  "name": "aya-washi-proof",
  "type": "registry:theme",
  "title": "AYA Washi Proof shadcn Theme",
  "cssVars": {
    "theme": {},
    "light": {
      "background": "#F4F1EA",
      "foreground": "#24231F",
      "card": "#FBFAF6",
      "card-foreground": "#24231F",
      "popover": "#FBFAF6",
      "popover-foreground": "#24231F",
      "primary": "#4F5D50",
      "primary-foreground": "#ffffff",
      "secondary": "#8B7C61",
      "secondary-foreground": "#ffffff",
      "muted": "#767166",
      "muted-foreground": "#24231F",
      "accent": "#6E8791",
      "accent-foreground": "#ffffff",
      "destructive": "#9A5149",
      "border": "#D8D0C2",
      "input": "#D8D0C2",
      "ring": "#6E8791",
      "chart-1": "#4F5D50",
      "chart-2": "#8B7C61",
      "chart-3": "#6E8791",
      "chart-4": "#5E745A",
      "chart-5": "#A78347",
      "sidebar": "#FBFAF6",
      "sidebar-foreground": "#24231F",
      "sidebar-primary": "#4F5D50",
      "sidebar-primary-foreground": "#ffffff",
      "sidebar-accent": "#5F7882",
      "sidebar-accent-foreground": "#ffffff",
      "sidebar-border": "#D8D0C2",
      "sidebar-ring": "#6E8791",
      "radius": "5px"
    },
    "dark": {
      "background": "#0f1115",
      "foreground": "#f8fafc",
      "card": "#181b22",
      "card-foreground": "#f8fafc",
      "popover": "#181b22",
      "popover-foreground": "#f8fafc",
      "primary": "#4F5D50",
      "primary-foreground": "#ffffff",
      "secondary": "#252a33",
      "secondary-foreground": "#f8fafc",
      "muted": "#252a33",
      "muted-foreground": "#a1a1aa",
      "accent": "#6E8791",
      "accent-foreground": "#ffffff",
      "destructive": "#9A5149",
      "border": "#303642",
      "input": "#303642",
      "ring": "#6E8791",
      "chart-1": "#4F5D50",
      "chart-2": "#8B7C61",
      "chart-3": "#6E8791",
      "chart-4": "#5E745A",
      "chart-5": "#A78347",
      "sidebar": "#181b22",
      "sidebar-foreground": "#f8fafc",
      "sidebar-primary": "#4F5D50",
      "sidebar-primary-foreground": "#ffffff",
      "sidebar-accent": "#6E8791",
      "sidebar-accent-foreground": "#ffffff",
      "sidebar-border": "#303642",
      "sidebar-ring": "#6E8791",
      "radius": "5px"
    }
  },
  "meta": {
    "source": "katagami",
    "languageId": "en-019ed833-c530-7622-a612-cc5ec5fe8222",
    "slug": "aya-washi-proof",
    "componentManifest": [
      "button",
      "card",
      "input",
      "textarea",
      "select",
      "dialog",
      "sheet",
      "tabs",
      "badge",
      "separator",
      "checkbox",
      "switch",
      "slider",
      "tooltip",
      "dropdown-menu",
      "table"
    ],
    "installCommand": "npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table",
    "nativeTokenNames": {
      "borders": [
        "accent_width",
        "character",
        "default_width",
        "style"
      ],
      "colors": [
        "accent",
        "background",
        "border",
        "error",
        "info",
        "muted",
        "primary",
        "secondary",
        "success",
        "surface",
        "text",
        "warning"
      ],
      "motion": [
        "duration",
        "easing",
        "philosophy"
      ],
      "radii": [
        "full",
        "lg",
        "md",
        "none",
        "sm"
      ],
      "shadows": [
        "lg",
        "md",
        "sm"
      ],
      "spacing": [
        "base",
        "scale"
      ],
      "surfaces": [
        "bg_pattern",
        "card_style",
        "treatment"
      ],
      "typography": [
        "base_size",
        "body_font",
        "google_fonts_url",
        "heading_font",
        "letter_spacing",
        "line_height",
        "mono_font",
        "scale_ratio"
      ]
    }
  }
}
component recipescompatibility fallback
# AYA Washi Proof shadcn/ui Components

Artifact: `component-recipes-v1`
Author: `katagami-ui-projection`
Language ID: `en-019ed833-c530-7622-a612-cc5ec5fe8222`
Slug: `aya-washi-proof`

## Intent

AYA Washi Proof is a text-first evidence workspace where Kyoto paper craft, woven context, and modern AI transparency meet. It treats research synthesis as a quiet stack of tactile paper surfaces: restrained, legible, provenance-aware, and precise enough for high-trust decisions.

## Required primitives

- button
- card
- input
- textarea
- select
- dialog
- sheet
- tabs
- badge
- separator
- checkbox
- switch
- slider
- tooltip
- dropdown-menu
- table

Install with `npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table`.

## Token cues

Colors:

{
  "accent": "#6E8791",
  "background": "#F4F1EA",
  "border": "#D8D0C2",
  "error": "#9A5149",
  "info": "#5F7882",
  "muted": "#767166",
  "primary": "#4F5D50",
  "secondary": "#8B7C61",
  "success": "#5E745A",
  "surface": "#FBFAF6",
  "text": "#24231F",
  "warning": "#A78347"
}

Typography:

{
  "base_size": "16px",
  "body_font": "Noto Sans JP",
  "google_fonts_url": "https://fonts.googleapis.com/css2?family=BIZ+UDPMincho:wght@400;700&family=Noto+Sans+JP:wght@400;500;700&family=IBM+Plex+Mono:wght@400;500&display=swap",
  "heading_font": "BIZ UDPMincho",
  "letter_spacing": "-0.012em",
  "line_height": 1.58,
  "mono_font": "IBM Plex Mono",
  "scale_ratio": 1.2
}

## Visual character to preserve

- Layered paper panels use off-white background, warmer surface cards, one-pixel mineral borders, and inset hairline shadows instead of floating SaaS drop shadows.
- Evidence cards include a narrow woven left rail made from repeating linear gradients that encode source provenance and confidence density.
- Large text blocks sit in an editorial two-column grid with generous ma gutters, short measure, and sticky marginal metadata for source, confidence, and AI rationale.
- Subtle washi grain is rendered with low-opacity radial and linear gradients clipped to surfaces, never full-screen texture that reduces contrast.
- Interaction states shift by border weight, underline weave, and small mineral chips rather than large color fills or animated spectacle.

## ShadSync visual profile

{
  "family": "paper-collage",
  "material": "paper",
  "contour": "default",
  "border": "solid",
  "underlay": true,
  "grain": true,
  "stickerBadges": true,
  "motion": "still",
  "density": "dense",
  "accents": [
    "primary",
    "accent",
    "secondary",
    "muted"
  ]
}

## Signature component recipes

### Button
Use `Button` for primary, secondary, outline, and ghost actions. Primary actions must expose the language's strongest contrast pair, while secondary and ghost actions should preserve the surface treatment instead of falling back to default neutral SaaS styling.

### Card
Use `Card`, `CardHeader`, `CardContent`, `CardFooter`, and `CardAction` as the main composition frame. Cards should demonstrate the language's surface, border, hierarchy, and density rules rather than appearing as generic rounded rectangles.

### Input and Textarea
Use `Input` and `Textarea` with visible focus rings, field labels, validation states, and the language's rhythm. Forms should show real product content, not placeholder-only controls.

### Select, Tabs, and Table
Use `Select`, `Tabs`, and `Table` to prove navigation, filtering, and dense data states. The table should show row rhythm, separators, hover/focus states, and an empty or status state when the language calls for it.

### Dialog and Sheet
Use `Dialog` for centered decisions and `Sheet` for contextual editing. Both should inherit the language's spacing, border, overlay, and motion rules.

## Preview shots

- `application-shell`: dashboard or workspace shell with navigation, cards, forms, and state badges.
- `detail-editor`: focused editing flow using input, textarea, select, switch/checkbox, dialog or sheet, and action buttons.
- `data-operations`: table-heavy operational view with tabs, dropdown menu affordances, badges, and destructive/empty states.
- Each preview shot must include a renderable `scene` payload with concrete headline, description, actions, and rows/fields/stats for the UI preview.

## Implementation contract

- Start from local `ui/src/components/ui` shadcn-style primitives; do not create a second component system.
- Apply `/katagami/shadcn/aya-washi-proof/registry-theme.json` variables, then use these recipes for composition and state design.
- Preserve Katagami token names as source metadata; shadcn semantic names are only the export surface.
- Do: Use off-white surfaces, mineral semantic accents, and black-brown text with WCAG-conscious contrast.; Make confidence, evidence status, and source provenance visible in rails, chips, and compact rulers.; Keep AI reasoning inspectable with short mono bookmarks and woven context links between claims.; Let paper texture be structural and subtle: clipped to panels, below text, and low opacity.
- Do not: Do not use saturated rainbow status palettes, neon AI motifs, glassy panels, or generic purple gradients.; Do not hide sources behind unstyled footnotes or make every card visually identical regardless of evidence quality.; Do not over-round controls; this language prefers paper slips, small radii, and crisp hairlines.; Do not add decorative Japanese patterns unless they encode layout, provenance, or state.

## Copy-paste component example

This generated starter proves the import shape. Production Katagami agents should replace it with a language-specific product composition.

```tsx
import { Badge } from "@/components/ui/badge";
import { Button } from "@/components/ui/button";
import {
  Card,
  CardContent,
  CardDescription,
  CardFooter,
  CardHeader,
  CardTitle,
} from "@/components/ui/card";
import { Input } from "@/components/ui/input";
import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";

export function AyaWashiProofShadcnKit() {
  return (
    <section className="grid gap-4 rounded-[var(--radius)] border bg-background p-4 text-foreground">
      <div className="flex items-start justify-between gap-4">
        <div>
          <Badge variant="outline">shadcn/ui</Badge>
          <h2 className="mt-3 text-2xl font-semibold tracking-tight">AYA Washi Proof</h2>
          <p className="mt-1 max-w-xl text-sm text-muted-foreground">
            Use the Katagami registry theme, then compose these shadcn primitives
            with the language-specific component recipes.
          </p>
        </div>
        <Button>Apply theme</Button>
      </div>

      <Tabs defaultValue="components">
        <TabsList>
          <TabsTrigger value="components">Components</TabsTrigger>
          <TabsTrigger value="states">States</TabsTrigger>
          <TabsTrigger value="export">Export</TabsTrigger>
        </TabsList>
      </Tabs>

      <Card>
        <CardHeader>
          <CardTitle>Component recipe</CardTitle>
          <CardDescription>
            Replace this starter content with the agent-authored product scene
            from components.md and preview-shots.json.
          </CardDescription>
        </CardHeader>
        <CardContent className="grid gap-3 sm:grid-cols-[1fr_auto]">
          <Input defaultValue="Tokenized shadcn surface" aria-label="Recipe name" />
          <Button variant="secondary">Preview state</Button>
        </CardContent>
        <CardFooter className="justify-between">
          <Badge>Ready</Badge>
          <Button variant="outline">Copy recipe</Button>
        </CardFooter>
      </Card>
    </section>
  );
}
```

## Layout notes

{
  "breakpoints": "Desktop >= 1180px three columns; tablet 720-1179px collapses evidence margin below the synthesis thread; mobile < 720px becomes a single paper stack with horizontal provenance chips.",
  "grid": "Desktop uses a 72px ledger rail, minmax(520px, 1fr) synthesis column, and 340px evidence margin with 24px gutters; cards align to an 8px baseline.",
  "whitespace": "Ma is explicit around reading zones: broad outer margins, tight metadata clusters, and calm 24-32px breathing room between synthesis sections."
}
preview shotscompatibility fallback
{
  "artifact": "katagami:shadcn-preview-shots",
  "version": "preview-shots-v1",
  "generator": "katagami-ui-compatibility-projection",
  "generatedBy": "katagami-ui-projection",
  "requiresVisualProfile": true,
  "schema": "katagami:shadcn-preview-shots/renderable-v1",
  "renderable": true,
  "language": {
    "id": "en-019ed833-c530-7622-a612-cc5ec5fe8222",
    "name": "AYA Washi Proof",
    "slug": "aya-washi-proof"
  },
  "installCommand": "npx shadcn@latest add button card input textarea select dialog sheet tabs badge separator checkbox switch slider tooltip dropdown-menu table",
  "primitives": [
    "button",
    "card",
    "input",
    "textarea",
    "select",
    "dialog",
    "sheet",
    "tabs",
    "badge",
    "separator",
    "checkbox",
    "switch",
    "slider",
    "tooltip",
    "dropdown-menu",
    "table"
  ],
  "identityNotes": [
    "Layered paper panels use off-white background, warmer surface cards, one-pixel mineral borders, and inset hairline shadows instead of floating SaaS drop shadows.",
    "Evidence cards include a narrow woven left rail made from repeating linear gradients that encode source provenance and confidence density.",
    "Large text blocks sit in an editorial two-column grid with generous ma gutters, short measure, and sticky marginal metadata for source, confidence, and AI rationale.",
    "Subtle washi grain is rendered with low-opacity radial and linear gradients clipped to surfaces, never full-screen texture that reduces contrast.",
    "Interaction states shift by border weight, underline weave, and small mineral chips rather than large color fills or animated spectacle."
  ],
  "visualProfile": {
    "family": "paper-collage",
    "material": "paper",
    "contour": "default",
    "border": "solid",
    "underlay": true,
    "grain": true,
    "stickerBadges": true,
    "motion": "still",
    "density": "balanced",
    "accents": [
      "primary",
      "accent",
      "secondary",
      "muted"
    ]
  },
  "shots": [
    {
      "id": "application-shell",
      "title": "Application shell",
      "viewport": "desktop",
      "primitives": [
        "button",
        "card",
        "input",
        "select",
        "tabs",
        "badge",
        "separator",
        "table"
      ],
      "composition": "A real product workspace with navigation, summary cards, filtering controls, and one dense content region.",
      "mustShow": [
        "primary and secondary actions",
        "card hierarchy",
        "filterable state",
        "table or list density"
      ],
      "avoid": [
        "component inventory walls",
        "placeholder-only content",
        "generic rounded SaaS chrome"
      ],
      "scene": {
        "eyebrow": "workspace spread",
        "headline": "AYA Washi Proof launch room",
        "description": "A product team workspace where navigation, filters, metrics, and dense rows carry the language's visible structure.",
        "primaryAction": "Apply theme",
        "secondaryAction": "Review states",
        "stats": [
          {
            "label": "components",
            "value": "16",
            "tone": "accent"
          },
          {
            "label": "states",
            "value": "ready"
          },
          {
            "label": "density",
            "value": "balanced",
            "tone": "warning"
          }
        ],
        "rows": [
          {
            "label": "Primary flow",
            "value": "mapped",
            "status": "active"
          },
          {
            "label": "Token coverage",
            "value": "semantic",
            "status": "synced"
          },
          {
            "label": "Responsive proof",
            "value": "queued",
            "status": "review"
          }
        ],
        "statuses": [
          "Active",
          "Synced",
          "Draft"
        ]
      }
    },
    {
      "id": "detail-editor",
      "title": "Detail editor",
      "viewport": "tablet",
      "primitives": [
        "button",
        "card",
        "input",
        "textarea",
        "select",
        "checkbox",
        "switch",
        "slider",
        "dialog",
        "sheet"
      ],
      "composition": "A focused editing flow with form fields, validation, confirmation, and a contextual side panel.",
      "mustShow": [
        "focus ring",
        "error or destructive state",
        "dialog or sheet treatment",
        "written guidance content"
      ],
      "avoid": [
        "unstyled browser controls",
        "floating cards inside cards",
        "missing labels"
      ],
      "scene": {
        "eyebrow": "editing flow",
        "headline": "Language recipe editor",
        "description": "A focused form proving labels, validation, toggles, panel rhythm, and action hierarchy.",
        "primaryAction": "Save recipe",
        "secondaryAction": "Open sheet",
        "fields": [
          {
            "label": "Component family",
            "value": "Narrative cards"
          },
          {
            "label": "State treatment",
            "value": "Visible focus + validation"
          },
          {
            "label": "Motion",
            "value": "Small lift, no opacity-only fade"
          }
        ],
        "statuses": [
          "Focus",
          "Invalid",
          "Confirmed"
        ]
      }
    },
    {
      "id": "data-operations",
      "title": "Data operations",
      "viewport": "mobile",
      "primitives": [
        "button",
        "tabs",
        "badge",
        "dropdown-menu",
        "table",
        "tooltip",
        "separator"
      ],
      "composition": "A compact operational view proving row rhythm, stacked actions, menu states, badges, and empty/destructive states.",
      "mustShow": [
        "responsive reflow",
        "dense row styling",
        "menu affordance",
        "status badge system"
      ],
      "avoid": [
        "desktop-only tables",
        "text overflow",
        "default shadcn spacing without Katagami character"
      ],
      "scene": {
        "eyebrow": "operations",
        "headline": "Compact review queue",
        "description": "A narrow viewport scene with rows, menus, tooltips, badges, and destructive affordances.",
        "primaryAction": "Resolve",
        "secondaryAction": "Filter",
        "rows": [
          {
            "label": "Button hierarchy",
            "value": "approved",
            "status": "ok"
          },
          {
            "label": "Table rhythm",
            "value": "needs pass",
            "status": "watch"
          },
          {
            "label": "Empty state",
            "value": "designed",
            "status": "done"
          }
        ],
        "statuses": [
          "Queued",
          "Blocked",
          "Done"
        ]
      }
    }
  ],
  "componentRecipes": [
    {
      "primitive": "button",
      "intent": "Prove action hierarchy, focus, disabled, and destructive states."
    },
    {
      "primitive": "card",
      "intent": "Carry the language surface, border, elevation, and density rules."
    },
    {
      "primitive": "input",
      "intent": "Show labels, focus rings, validation, and spacing rhythm."
    },
    {
      "primitive": "textarea",
      "intent": "Show longer guidance, validation copy, and writing density."
    },
    {
      "primitive": "select",
      "intent": "Show filtering, selection contrast, and menu trigger styling."
    },
    {
      "primitive": "dialog",
      "intent": "Show centered decision states and overlay treatment."
    },
    {
      "primitive": "sheet",
      "intent": "Show contextual side panels and responsive editing."
    },
    {
      "primitive": "tabs",
      "intent": "Show navigational structure and active/inactive contrast."
    },
    {
      "primitive": "badge",
      "intent": "Show compact status vocabulary and semantic colors."
    },
    {
      "primitive": "separator",
      "intent": "Show section rhythm without generic gray dividers."
    },
    {
      "primitive": "checkbox",
      "intent": "Show binary selection with visible focus and checked states."
    },
    {
      "primitive": "switch",
      "intent": "Show settings toggles and on/off contrast."
    },
    {
      "primitive": "slider",
      "intent": "Show numeric adjustment with track/thumb styling."
    },
    {
      "primitive": "tooltip",
      "intent": "Show concise explanation styling above compact controls."
    },
    {
      "primitive": "dropdown-menu",
      "intent": "Show action menus, destructive items, and grouped choices."
    },
    {
      "primitive": "table",
      "intent": "Show dense operational data, separators, row states, and responsive behavior."
    }
  ],
  "qualityRules": {
    "do": [
      "Use off-white surfaces, mineral semantic accents, and black-brown text with WCAG-conscious contrast.",
      "Make confidence, evidence status, and source provenance visible in rails, chips, and compact rulers.",
      "Keep AI reasoning inspectable with short mono bookmarks and woven context links between claims.",
      "Let paper texture be structural and subtle: clipped to panels, below text, and low opacity."
    ],
    "dont": [
      "Do not use saturated rainbow status palettes, neon AI motifs, glassy panels, or generic purple gradients.",
      "Do not hide sources behind unstyled footnotes or make every card visually identical regardless of evidence quality.",
      "Do not over-round controls; this language prefers paper slips, small radii, and crisp hairlines.",
      "Do not add decorative Japanese patterns unless they encode layout, provenance, or state."
    ]
  }
}
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