Borrowing it
Nothing to install: this file belongs to Piyush8296/claude-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Piyush8296/claude-workspace/main/.claude/skills/design-intelligence/SKILL.mdgit clone --depth 1 https://github.com/Piyush8296/claude-workspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/piyush8296/claude-workspace/design-intelligence)<a href="https://agentmods.dev/skills/piyush8296/claude-workspace/design-intelligence"><img src="https://agentmods.dev/badge/skills/piyush8296/claude-workspace/design-intelligence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/piyush8296/claude-workspace/design-intelligence"><img src="https://agentmods.dev/badge/skills/piyush8296/claude-workspace/design-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.02080 |
| Opus 5 | $0.00028 | $0.01040 |
| Sonnet 5 | $0.00011 | $0.00416 |
| Haiku 4.5 | $0.00006 | $0.00208 |
Grade A, and why
design-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Intelligence
Tool Selection
Two primary AI design tools for frontend teams:
| Tool | Best For | Code Export | Access |
|---|---|---|---|
| Claude Design | Prototypes, presentations, design system enforcement, iterative refinement via conversation | React, HTML/CSS | Claude Pro/Max/Team/Enterprise |
| Google Stitch | Multi-screen generation, rapid iteration, full app flows from natural language | HTML, CSS, Tailwind, Vue, Angular, Flutter, SwiftUI | Free (Google account) |
When to Use Claude Design
- You need designs that match your existing codebase and design system
- Iterative refinement through conversation ("make the CTA more prominent")
- Generating presentations and visual prototypes alongside code
- Your team uses Claude for everything already
When to Use Google Stitch
- Generating entire multi-screen flows from a single prompt (up to 5 screens)
- Rapid exploration with model selection (Gemini Pro for quality, Flash for speed)
- You need exports in frameworks beyond React (Vue, Angular, Flutter, SwiftUI)
- Free access with no usage caps
Design System Generation Workflow
Step 1: Define Design Tokens
Generate a complete token set from your brand identity:
:root {
/* Color Tokens */
--color-primary-50: #eff6ff;
--color-primary-100: #dbeafe;
--color-primary-500: #3b82f6;
--color-primary-600: #2563eb;
--color-primary-700: #1d4ed8;
--color-primary-900: #1e3a5f;
--color-accent-400: #fbbf24;
--color-accent-500: #f59e0b;
--color-neutral-50: #fafafa;
--color-neutral-100: #f5f5f5;
--color-neutral-200: #e5e5e5;
--color-neutral-500: #737373;
--color-neutral-800: #262626;
--color-neutral-900: #171717;
--color-success: #22c55e;
--color-warning: #f59e0b;
--color-error: #ef4444;
--color-info: #3b82f6;
/* Typography Tokens */
--font-display: 'Space Grotesk', sans-serif;
--font-body: 'Inter', sans-serif;
--font-mono: 'JetBrains Mono', monospace;
/* Spacing Scale (8px grid) */
--space-1: 0.25rem; /* 4px */
--space-2: 0.5rem; /* 8px */
--space-3: 0.75rem; /* 12px */
--space-4: 1rem; /* 16px */
--space-6: 1.5rem; /* 24px */
--space-8: 2rem; /* 32px */
--space-12: 3rem; /* 48px */
--space-16: 4rem; /* 64px */
--space-24: 6rem; /* 96px */
/* Border Radius */
--radius-sm: 0.25rem;
--radius-md: 0.5rem;
--radius-lg: 0.75rem;
--radius-xl: 1rem;
--radius-full: 9999px;
/* Shadows */
--shadow-sm: 0 1px 2px 0 rgb(0 0 0 / 0.05);
--shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1);
--shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1);
--shadow-xl: 0 20px 25px -5px rgb(0 0 0 / 0.1);
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 201 lines · 55 tokens per session scan A e32508def717
design-intelligence is a skill published in the GitHub repository Piyush8296/claude-workspace (2 stars, last pushed 4mo ago), licensed MIT. It adds 55 tokens to every session and 2,080 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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