Borrowing it
Nothing to install: this file belongs to Genuifx/ccem. 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/Genuifx/ccem/main/.agents/skills/product-design/design-system-lead/SKILL.mdgit clone --depth 1 https://github.com/Genuifx/ccemWrote 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/genuifx/ccem/design-system-lead)<a href="https://agentmods.dev/skills/genuifx/ccem/design-system-lead"><img src="https://agentmods.dev/badge/skills/genuifx/ccem/design-system-lead/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/genuifx/ccem/design-system-lead"><img src="https://agentmods.dev/badge/skills/genuifx/ccem/design-system-lead.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 | $0.00023 | $0.03138 |
| Opus 5.5 | $0.00009 | $0.01255 |
| Sonnet 5.5 | $0.00005 | $0.00628 |
| Haiku 4.5 | $0.00002 | $0.00314 |
Grade A, and why
design-system-lead 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 1mo 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 — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design System Lead
Expert-level design systems for scalable product design.
Core Competencies
- Design system architecture
- Component library design
- Design token management
- Documentation strategy
- Design-dev collaboration
- Governance and contribution
- Adoption and training
- Tooling and automation
Design System Architecture
System Structure
design-system/
├── foundations/
│ ├── colors/
│ ├── typography/
│ ├── spacing/
│ ├── elevation/
│ ├── motion/
│ └── grid/
├── components/
│ ├── primitives/ # Button, Input, Icon
│ ├── composites/ # Card, Modal, Dropdown
│ └── patterns/ # Forms, Navigation, Tables
├── layouts/
│ ├── page-templates/
│ └── content-layouts/
├── documentation/
│ ├── getting-started/
│ ├── design-guidelines/
│ └── code-guidelines/
└── assets/
├── icons/
├── illustrations/
└── logos/
Maturity Levels
| Level | Characteristics | Focus |
|---|---|---|
| 1: Emerging | Ad-hoc styles, no standards | Establish foundations |
| 2: Defined | Documented guidelines | Component library |
| 3: Managed | Shared component library | Adoption, governance |
| 4: Optimized | Automated, measured | Continuous improvement |
Design Tokens
Token Structure
{
"color": {
"primitive": {
"blue": {
"50": {"value": "#eff6ff"},
"100": {"value": "#dbeafe"},
"500": {"value": "#3b82f6"},
"600": {"value": "#2563eb"},
"900": {"value": "#1e3a8a"}
}
},
"semantic": {
"primary": {"value": "{color.primitive.blue.600}"},
"primary-hover": {"value": "{color.primitive.blue.700}"},
"background": {"value": "{color.primitive.gray.50}"},
"text": {"value": "{color.primitive.gray.900}"},
"text-secondary": {"value": "{color.primitive.gray.600}"}
},
"component": {
"button": {
"primary": {
"background": {"value": "{color.semantic.primary}"},
"text": {"value": "#ffffff"}
}
}
}
},
"spacing": {
"primitive": {
"1": {"value": "4px"},
"2": {"value": "8px"},
"3": {"value": "12px"},
"4": {"value": "16px"},
"6": {"value": "24px"},
"8": {"value": "32px"}
},
"semantic": {
"component-padding": {"value": "{spacing.primitive.4}"},
"section-gap": {"value": "{spacing.primitive.8}"}
}
},
"typography": {
"fontFamily": {
"sans": {"value": "Inter, system-ui, sans-serif"},
"mono": {"value": "JetBrains Mono, monospace"}
},
"fontSize": {
"xs": {"value": "12px"},
"sm": {"value": "14px"},
"base": {"value": "16px"},
"lg": {"value": "18px"},
"xl": {"value": "20px"},
"2xl": {"value": "24px"}
},
"lineHeight": {
"tight": {"value": "1.25"},
"normal": {"value": "1.5"},
"relaxed": {"value": "1.75"}
}
},
"borderRadius": {
"none": {"value": "0"},
"sm": {"value": "4px"},
"md": {"value": "8px"},
"lg": {"value": "12px"},
"full": {"value": "9999px"}
},
"shadow": {
"sm": {"value": "0 1px 2px 0 rgb(0 0 0 / 0.05)"},
"md": {"value": "0 4px 6px -1px rgb(0 0 0 / 0.1)"},
"lg": {"value": "0 10px 15px -3px 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.
- 1mo ago First seen · 524 lines · 23 tokens per session scan A fbba268f650b
design-system-lead is a skill published in the GitHub repository Genuifx/ccem (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 3,138 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
motion-video
Product animation, UI motion, portfolio videos — Apple-grade reveals, motion tokens, full production pipelines.
usability-testing
Usability testing frameworks — test planning, task scenarios, moderated and unmoderated protocols, analysis frameworks, and insight synthesis for Mémoire research pipeline.
figma-generate-library
Generate Figma component library from React/shadcn codebase with Code Connect parity.
figma-use
Foundational Figma canvas skill — structure, Auto Layout, variables, MCP tools, self-healing loop.
memoire-design-tooling
Set up and operate Mémoire's CLI, MCP server, agent kits, design preflight, UX audits, craft checks, tokens, and registry evidence. Use when a repository explicitly needs Mémoire tooling; use portable design skills when Mémoire is unavailable.
figma-audit
Audit Figma file for design system consistency, accessibility, token adoption, Code Connect coverage.