Borrowing it
Nothing to install: this file belongs to abuango/pos-ai. 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/abuango/pos-ai/main/.claude/skills/frontend-design/SKILL.mdgit clone --depth 1 https://github.com/abuango/pos-aiWrote 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/abuango/pos-ai/frontend-design)<a href="https://agentmods.dev/skills/abuango/pos-ai/frontend-design"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/frontend-design.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.01365 |
| Opus 5 | $0.00032 | $0.00682 |
| Sonnet 5 | $0.00013 | $0.00273 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
frontend-design 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 7d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Design
Setup
Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).
Create production-grade web interfaces with intentional, distinctive aesthetics.
Core Philosophy
Avoid generic AI design. Every interface should have a clear aesthetic point-of-view. Generic means forgettable—be bold.
Before Coding: Design Thinking
1. Clarify Purpose
- What is this interface for?
- Who uses it?
- What emotion should it evoke?
2. Choose Aesthetic Direction
Pick a BOLD direction (not "clean and modern"):
| Direction | Characteristics |
|---|---|
| Brutalist | Raw, unpolished, intentionally rough |
| Minimalist | Extreme restraint, negative space, few elements |
| Maximalist | Rich, layered, abundant detail |
| Retro-Futuristic | Blend of vintage and sci-fi |
| Organic | Flowing shapes, natural colors, soft edges |
| Corporate Refined | Precise, professional, subtle luxury |
| Playful | Bright colors, rounded shapes, micro-interactions |
| Dark Mode Premium | Deep blacks, accent glows, high contrast |
3. Identify Constraints
- Framework (Vue, React, Blade, plain HTML)
- CSS approach (Tailwind, custom, component library)
- Performance requirements
- Accessibility needs
Aesthetic Execution
Typography
Never use: Arial, Helvetica, Times New Roman, default system fonts, Inter (overused)
Do:
- Choose distinctive, characterful fonts
- Pair fonts deliberately (display + body)
- Use dramatic size contrast
- Consider variable fonts for expressiveness
/* Example: Bold pairing */
--font-display: 'Playfair Display', serif;
--font-body: 'Source Sans Pro', sans-serif;
h1 { font-size: 4rem; letter-spacing: -0.02em; }
Color & Theme
Avoid: Purple-to-blue gradients (AI cliche), rainbow gradients, gray-on-gray
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 187 lines · 64 tokens per session scan A 3fb5cc425ce0
frontend-design is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 1,365 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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