stitch-design-taste skillA
stitch-design-taste is agent-read markdown (skill) from naveedharri/benai-skills: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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.com/stitch](https://labs.google.com/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 …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/stitch-design-taste@git:20260916.a3b1e15mdr add naveedharri/benai-skills/stitch-design-taste@sha256:93a580b546fb0225Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_cevbcdjmdmkpmito)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.a3b1e15 latest | 2026-09-16 | a3b1e15 | 11,890 B | A | view · diff |
| git:20260627.94fdd8b | 2026-06-27 | 94fdd8b | 11,859 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11890 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_cevbcdjmdmkpmito GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/stitch-design-taste GET https://markdownregistry.com/api/v1/blob/93a580b546fb02250e844690ad2f20f01eba59fc032f979552386753b9d47a61
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