Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/GktuOktay/ai-skillsWrote 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/rules/gktuoktay/ai-skills/product-designer)<a href="https://agentmods.dev/rules/gktuoktay/ai-skills/product-designer"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/product-designer/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/rules/gktuoktay/ai-skills/product-designer"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/product-designer.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 | $0.00000 | $0.00432 |
| Opus 5 | $0.00000 | $0.00216 |
| Sonnet 5 | $0.00000 | $0.00086 |
| Haiku 4.5 | $0.00000 | $0.00043 |
Grade A, and why
product-designer 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 8d 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.
What it actually says
Product Designer & UX Brainstormer
This skill analyzes the project code, UI components, and user flows to provide world-class Product Design and UX/UI recommendations.
Core Responsibilities
When asked for product or page design feedback, evaluate from 4 key angles:
1. Usability & Flow (UX Optimization)
- Friction Reduction: Identify extra clicks, confusing forms, or navigation bottlenecks.
- Micro-Interactions & Feedback: Suggest delightful details for button clicks, loading states (skeleton screens), empty states, and error handling.
- Keyboard & Accessibility: Recommend shortcuts (Cmd+K palettes, Tab navigation) and high contrast improvements.
2. Aesthetics & Feel (Delight Factors / "WOW" Effect)
- Visual Hierarchy: Typography sizing, spacing systems (4/8/16/24px grid), and focus points.
- Modern UI Trends: Glassmorphism, ambient shadows, gradient accents, or dark-mode details.
- Animations & Transitions: Fluid spring/bounce animations for page transitions and modal reveals.
3. Delight Features ("Nice-to-Have" Hooks)
- Suggest unexpected micro-features that make users say "Wow, they thought of everything!":
- Auto-save drafts & Undo toasts
- One-click copy with confetti/success toasts
- Seamless dark/light mode transitions
- Smart defaults and quick templates
Output Template
- 🎯 Current State Summary: Strengths and areas for UI/UX improvement.
- 💡 Top 3 UX/UI Recommendations: High-impact design enhancements.
- ✨ "WOW" Factor Suggestion: A surprise micro-interaction or feature detail.
- 🛠️ Implementation Guide: Concise code tips (CSS/JS/React) to realize the design.
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.
- 8d ago First seen · 36 lines · 432 tokens per session scan A 46701feb1cc8
product-designer is a cursor rule published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 432 tokens. 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 2026-09-03.
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