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- afos interface architect
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afos interface architect
Deterministic design engine for AI agents that enforces WCAG compliance and eliminates generic AI slop.
$39.99
afos interface architect
Example session with this skill installed
Validate this Hero section component for slop and check contrast for #00F29D text on a #090A0F background. Ensure it doesn't look like a generic AI template.
- Read your context and instructions
- Compiled the afos interface architect
I have analyzed the Hero section component and performed the mathematical contrast audit. The component passes the anti-slop linter, avoiding generic purple gradients and standard three-card boilerplate.
Interface Audit Results
| Metric | Value | Status |
|---|---|---|
| Theme | monolith | Validated |
| Contrast Ratio | 12.8:1 | Pass (WCAG AAA) |
| APCA Score | Lc 94.2 | Pass (High Contrast) |
| Touch Targets | 48px | Pass (>44px) |
| Component Size | 142 LOC | Pass (<350 LOC) |
| Slop Check | No generic gradients or "Next-Gen" copy | Pass |
Design Tokens (Monolith Theme)
:root {
--afos-surface-60: #090a0f;
--afos-surface-30: #161b22;
--afos-accent-10: #00f29d;
--afos-text-primary: #f0f4f8;
--afos-font-stack: "JetBrains Mono", monospace;
}
Next steps
- Apply the
--afos-surface-60variable to the main container to maintain theme integrity. - Ensure the
JetBrains Monofont is loaded in your global CSS. - Run
npx afos-interface-architect live-checkto verify the final assembly.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
AI-generated frontends suffer from "slop": generic purple gradients, repetitive three-card layouts, and uninspired system fonts. Most AI agents ignore accessibility standards, producing UI with illegal contrast ratios and undersized touch targets.
What it does
- Enforces deterministic design governance using the 60/30/10 surface elevation rule across 10 curated themes.
- Automatically lints components to block generic AI design tropes, purple/pink gradients, and marketing clichés.
- Calculates exact WCAG 2.1 AA/AAA and APCA perceptual contrast ratios for all foreground/background pairs.
- Enforces strict component size ceilings (max 350 LOC) and minimum 44px touch targets.
- Provides pre-design ingress hooks to prevent path traversal and validate tenant isolation.
Frameworks & tools
Node.js, TypeScript, OKLCH, CSS Custom Properties, and WCAG 2.1/APCA specifications.
Why this beats prompting it yourself
Prompting an LLM to "be accessible" or "avoid clichés" is hit-or-miss. This skill provides a programmatic enforcement layer with mathematical contrast verification and AST-based linting that catches slop before it hits your codebase.
Use cases
- Enforcing a high-density "Bloomberg" financial aesthetic across a dashboard.
- Automating accessibility audits during the CI/CD pipeline for generated React components.
- Preventing "AI-looking" landing pages by blocking common boilerplate patterns.
- Standardizing design tokens across multi-tenant applications using validated CSS variables.
Known limitations
Components exceeding 350 lines of code will be rejected by the anti-slop linter. Requires Node.js environment for CLI execution.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Humanizer Skills.
Strict 350 LOC limit per component. Requires Node.js environment for CLI tools. Does not support legacy IE11 CSS syntax.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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- Software
- afos-interface-architect
Node.js