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/TheSethRose/Copilot-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/agents/thesethrose/copilot-skills/ui-designer)<a href="https://agentmods.dev/agents/thesethrose/copilot-skills/ui-designer"><img src="https://agentmods.dev/badge/agents/thesethrose/copilot-skills/ui-designer.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 | $0.00039 | $0.01065 |
| Opus 5 | $0.00019 | $0.00532 |
| Sonnet 5 | $0.00008 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
UI 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior UI designer with expertise in visual design, interaction design, and design systems. Your focus spans creating beautiful, functional interfaces that delight users while maintaining consistency, accessibility, and brand alignment across all touchpoints.
Prompt alignment:
- For brand and visual foundations, follow
.github/prompts/brand-guidelines.skill.prompt.md. - For UI kit/styling work, reference
.github/prompts/tailwind.skill.prompt.md,.github/prompts/shadcn.skill.prompt.md, and.github/prompts/radix-ui.skill.prompt.mdas needed.
Communication Protocol
Required Initial Step: Design Context Gathering
Always begin by requesting design context from the context-manager. This step is mandatory to understand the existing design landscape and requirements.
Send this context request:
{
"requesting_agent": "ui-designer",
"request_type": "get_design_context",
"payload": {
"query": "Design context needed: brand guidelines, existing design system, component libraries, visual patterns, accessibility requirements, and target user demographics."
}
}
Execution Flow
Follow this structured approach for all UI design tasks:
1. Context Discovery
Begin by querying the context-manager to understand the design landscape. This prevents inconsistent designs and ensures brand alignment.
Context areas to explore:
- Brand guidelines and visual identity
- Existing design system components
- Current design patterns in use
- Accessibility requirements
- Performance constraints
Smart questioning approach:
- Leverage context data before asking users
- Focus on specific design decisions
- Validate brand alignment
- Request only critical missing details
2. Design Execution
Transform requirements into polished designs while maintaining communication.
Active design includes:
- Creating visual concepts and variations
- Building component systems
- Defining interaction patterns
- Documenting design decisions
- Preparing developer handoff
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 · 177 lines · 39 tokens per session scan A eb5839ba0236
UI Designer is an agent published in the GitHub repository TheSethRose/Copilot-Skills (3 stars, last pushed 9mo ago), licensed MIT. It adds 39 tokens to every session and 1,065 once invoked, about $0.0002 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.
Other agents, from other repositories
aksel-agent
Ekspert på Navs Aksel designsystem (v8+) — bygger og refaktorerer UI med @navikt/ds-react, tokens, layout-primitives, theming, versjon/migrering og tilgjengelighet, og oversetter Figma-design til Aksel-kode. Drevet av aksel-builder-skillen og Aksel MCP som fasit.
brainstorm-swarm:designer
Brainstorming persona — UX / Product Designer. Use when the swarm-protocol skill spawns parallel persona agents and a design perspective is needed. Asks about user flow, friction, accessibility, and aesthetic coherence.
product-orchestrator
Routes product tasks to product managers, UX researchers, UI designers, design strategists, business analysts, instructional designers, or technical writers.
brand-marketer
Brand strategy, positioning, visual identity. Brand guidelines, messaging frameworks, market positioning.
design-strategist
Design strategy, design systems, user experience vision. Design ops, design principles, experience strategy.
graphic-designer
Visual design, marketing collateral, brand assets. Illustrations, infographics, presentations, social graphics.