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Taste Stitch

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hanamizuki
taste-stitch

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.

Overview

Publisherhanamizuki
Repositorysolopreneur
Skill nametaste-stitch
Stars
150
Forks
9
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hanamizuki on GitHub. Read the source before you install it.

Installation

Install the Taste Stitch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hanamizuki/solopreneur.git /tmp/solopreneur
mkdir -p .claude/skills
cp -r /tmp/solopreneur/plugins/claude/designer/skills/taste-stitch .claude/skills/taste-stitch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Taste Stitch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Taste Stitch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Taste Stitch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Stitch Design Taste — Semantic Design System Skill

Overview

This skill generates DESIGN.md files optimized for Google Stitch screen generation. It translates the battle-tested anti-slop frontend engineering directives into Stitch's native semantic design language — descriptive, natural-language rules paired with precise values that Stitch's AI agent can interpret to produce premium, non-generic interfaces.

The generated DESIGN.md serves as the single source of truth for prompting Stitch to generate new screens that align with a curated, high-agency design language. Stitch interprets design through "Visual Descriptions" supported by specific color values, typography specs, and component behaviors.

Prerequisites

  • Access to Google Stitch via labs.google/stitch
  • Optionally: Stitch MCP Server for programmatic integration with Cursor, Antigravity, or Gemini CLI

The Goal

Generate a DESIGN.md file that encodes:

  1. Visual atmosphere — the mood, density, and design philosophy
  2. Color calibration — neutrals, accents, and banned patterns with hex codes
  3. Typographic architecture — font stacks, scale hierarchy, and anti-patterns
  4. Component behaviors — buttons, cards, inputs with interaction states
  5. Layout principles — grid systems, spacing philosophy, responsive strategy
  6. Motion philosophy — animation engine specs, spring physics, perpetual micro-interactions
  7. Anti-patterns — explicit list of banned AI design clichés

Analysis & Synthesis Instructions

1. Define the Atmosphere

Evaluate the target project's intent. Use evocative adjectives from the taste spectrum:

  • Density: "Art Gallery Airy" (1–3) → "Daily App Balanced" (4–7) → "Cockpit Dense" (8–10)
  • Variance: "Predictable Symmetric" (1–3) → "Offset Asymmetric" (4–7) → "Artsy Chaotic" (8–10)
  • Motion: "Static Restrained" (1–3) → "Fluid CSS" (4–7) → "Cinematic Choreography" (8–10)

Default baseline: Variance 8, Motion 6, Density 4. Adapt dynamically based on user's vibe description.

2. Map the Color Palette

For each color provide: Descriptive Name + Hex Code + Functional Role.

Mandatory constraints:

  • Maximum 1 accent color. Saturation below 80%
  • The "AI Purple/Blue Neon" aesthetic is strictly BANNED — no purple button glows, no neon gradients
  • Use absolute neutral bases (Zinc/Slate) with high-contrast singular accents
  • Stick to one palette for the entire output — no warm/cool gray fluctuation
  • Never use pure black (#000000) — use Off-Black, Zinc-950, or Charcoal

3. Establish Typography Rules

  • Display/Headlines: Track-tight, controlled scale. Not screaming. Hierarchy through weight and color, not just massive size
  • Body: Relaxed leading, max 65 characters per line
  • Font Selection: Inter is BANNED for premium/creative contexts. Force unique character: Geist, Outfit, Cabinet Grotesk, or Satoshi
  • Serif Ban: Generic serif fonts (Times New Roman, Georgia, Garamond, Palatino) are BANNED. If serif is needed for editorial/creative contexts, use only distinctive modern serifs: Fraunces, Gambarino, Editorial New, or Instrument Serif. Serif is always BANNED in dashboards or software UIs
  • Dashboard Constraint: Use Sans-Serif pairings exclusively (Geist + Geist Mono or Satoshi + JetBrains Mono)
  • High-Density Override: When density exceeds 7, all numbers must use Monospace

4. Define the Hero Section

The Hero is the first impression and must be creative, striking, and never generic:

  • Inline Image Typography: Embed small, contextual photos or visuals directly between words or letters in the headline. Images sit inline at type-height, rounded, acting as visual punctuation. This is the signature creative technique
  • No Overlapping: Text must never overlap images or other text. Every element occupies its own clean spatial zone
  • No Filler Text: "Scroll to explore", "Swipe down", scroll arrow icons, bouncing chevrons are BANNED. The content should pull users in naturally
  • Asymmetric Structure: Centered Hero layouts BANNED when variance exceeds 4
  • CTA Restraint: Maximum one primary CTA. No secondary "Learn more" links

5. Describe Component Stylings

For each component type, describe shape, color, shadow depth, and interaction behavior:

  • Buttons: Tactile push feedback on active state. No neon outer glows. No custom mouse cursors
  • Cards: Use ONLY when elevation communicates hierarchy. Tint shadows to background hue. For high-density layouts, replace cards with border-top dividers or negative space
  • Inputs/Forms: Label above input, helper text optional, error text below. Standard gap spacing
  • Loading States: Skeletal loaders matching layout dimensions — no generic circular spinners
  • Empty States: Composed compositions indicating how to populate data
  • Error States: Clear, inline error reporting

6. Define Layout Principles

  • No overlapping elements — every element occupies its own clear spatial zone. No absolute-positioned content stacking
  • Centered Hero sections are BANNED when variance exceeds 4 — force Split Screen, Left-Aligned, or Asymmetric Whitespace
  • The generic "3 equal cards horizontally" feature row is BANNED — use 2-column Zig-Zag, asymmetric grid, or horizontal scroll
  • CSS Grid over Flexbox math — never use calc() percentage hacks
  • Contain layouts using max-width constraints (e.g., 1400px centered)
  • Full-height sections must use min-h-[100dvh] — never h-screen (iOS Safari catastrophic jump)

7. Define Responsive Rules

Every design must work across all viewports:

  • Mobile-First Collapse (< 768px): All multi-column layouts collapse to single column. No exceptions
  • No Horizontal Scroll: Horizontal overflow on mobile is a critical failure
  • Typography Scaling: Headlines scale via clamp(). Body text minimum 1rem/14px
  • Touch Targets: All interactive elements minimum 44px tap target
  • Image Behavior: Inline typography images (photos between words) stack below headline on mobile
  • Navigation: Desktop horizontal nav collapses to clean mobile menu
  • Spacing: Vertical section gaps reduce proportionally (clamp(3rem, 8vw, 6rem))

8. Encode Motion Philosophy

  • Spring Physics default: stiffness: 100, damping: 20 — premium, weighty feel. No linear easing
  • Perpetual Micro-Interactions: Every active component should have an infinite loop state (Pulse, Typewriter, Float, Shimmer)
  • Staggered Orchestration: Never mount lists instantly — use cascade delays for waterfall reveals
  • Performance: Animate exclusively via transform and opacity. Never animate top, left, width, height. Grain/noise filters on fixed pseudo-elements only

9. List Anti-Patterns (AI Tells)

Encode these as explicit "NEVER DO" rules in the DESIGN.md:

  • No emojis anywhere
  • No Inter font
  • No generic serif fonts (Times New Roman, Georgia, Garamond) — distinctive modern serifs only if needed
  • No pure black (#000000)
  • No neon/outer glow shadows
  • No oversaturated accents
  • No excessive gradient text on large headers
  • No custom mouse cursors
  • No overlapping elements — clean spatial separation always
  • No 3-column equal card layouts
  • No generic names ("John Doe", "Acme", "Nexus")
  • No fake round numbers (99.99%, 50%)
  • No AI copywriting clichés ("Elevate", "Seamless", "Unleash", "Next-Gen")
  • No filler UI text: "Scroll to explore", "Swipe down", scroll arrows, bouncing chevrons
  • No broken Unsplash links — use picsum.photos or SVG avatars
  • No centered Hero sections (for high-variance projects)

Output Format (DESIGN.md Structure)

markdown
# Design System: [Project Title]

## 1. Visual Theme & Atmosphere
(Evocative description of the mood, density, variance, and motion intensity.
Example: "A restrained, gallery-airy interface with confident asymmetric layouts
and fluid spring-physics motion. The atmosphere is clinical yet warm — like a
well-lit architecture studio.")

## 2. Color Palette & Roles
- **Canvas White** (#F9FAFB) — Primary background surface
- **Pure Surface** (#FFFFFF) — Card and container fill
- **Charcoal Ink** (#18181B) — Primary text, Zinc-950 depth
- **Muted Steel** (#71717A) — Secondary text, descriptions, metadata
- **Whisper Border** (rgba(226,232,240,0.5)) — Card borders, 1px structural lines
- **[Accent Name]** (#XXXXXX) — Single accent for CTAs, active states, focus rings
(Max 1 accent. Saturation < 80%. No purple/neon.)

## 3. Typography Rules
- **Display:** [Font Name] — Track-tight, controlled scale, weight-driven hierarchy
- **Body:** [Font Name] — Relaxed leading, 65ch max-width, neutral secondary color
- **Mono:** [Font Name] — For code, metadata, timestamps, high-density numbers
- **Banned:** Inter, generic system fonts for premium contexts. Serif fonts banned in dashboards.

## 4. Component Stylings
* **Buttons:** Flat, no outer glow. Tactile -1px translate on active. Accent fill for primary, ghost/outline for secondary.
* **Cards:** Generously rounded corners (2.5rem). Diffused whisper shadow. Used only when elevation serves hierarchy. High-density: replace with border-top dividers.
* **Inputs:** Label above, error below. Focus ring in accent color. No floating labels.
* **Loaders:** Skeletal shimmer matching exact layout dimensions. No circular spinners.
* **Empty States:** Composed, illustrated compositions — not just "No data" text.

## 5. Layout Principles
(Grid-first responsive architecture. Asymmetric splits for Hero sections.
Strict single-column collapse below 768px. Max-width containment.
No flexbox percentage math. Generous internal padding.)

## 6. Motion & Interaction
(Spring physics for all interactive elements. Staggered cascade reveals.
Perpetual micro-loops on active dashboard components. Hardware-accelerated
transforms only. Isolated Client Components for CPU-heavy animations.)

## 7. Anti-Patterns (Banned)
(Explicit list of forbidden patterns: no emojis, no Inter, no pure black,
no neon glows, no 3-column equal grids, no AI copywriting clichés,
no generic placeholder names, no broken image links.)

Best Practices

  • Be Descriptive: "Deep Charcoal Ink (#18181B)" — not just "dark text"
  • Be Functional: Explain what each element is used for
  • Be Consistent: Same terminology throughout the document
  • Be Precise: Include exact hex codes, rem values, pixel values in parentheses
  • Be Opinionated: This is not a neutral template — it enforces a specific, premium aesthetic

Tips for Success

  1. Start with the atmosphere — understand the vibe before detailing tokens
  2. Look for patterns — identify consistent spacing, sizing, and styling
  3. Think semantically — name colors by purpose, not just appearance
  4. Consider hierarchy — document how visual weight communicates importance
  5. Encode the bans — anti-patterns are as important as the rules themselves

Common Pitfalls to Avoid

  • Using technical jargon without translation ("rounded-xl" instead of "generously rounded corners")
  • Omitting hex codes or using only descriptive names
  • Forgetting functional roles of design elements
  • Being too vague in atmosphere descriptions
  • Ignoring the anti-pattern list — these are what make the output premium
  • Defaulting to generic "safe" designs instead of enforcing the curated aesthetic

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Taste Stitch AI skill do?

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.

Why use Taste Stitch on TypingMind?

Because you install it once and use it with any model. Taste Stitch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Taste Stitch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hanamizuki/solopreneur/tree/main/plugins/claude/designer/skills/taste-stitch. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Taste Stitch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Taste Stitch?

As many as you like. As long as a model supports skills, you can use Taste Stitch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Taste Stitch AI skill free?

Yes. It is published on GitHub by hanamizuki under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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