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.
npx skills add Owl-Listener/ai-design-skills --skill generative-uigit clone --depth 1 https://github.com/Owl-Listener/ai-design-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/skills/owl-listener/ai-design-skills/generative-ui)<a href="https://agentmods.dev/skills/owl-listener/ai-design-skills/generative-ui"><img src="https://agentmods.dev/badge/skills/owl-listener/ai-design-skills/generative-ui/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/owl-listener/ai-design-skills/generative-ui"><img src="https://agentmods.dev/badge/skills/owl-listener/ai-design-skills/generative-ui.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 | $0.00014 | $0.00441 |
| Opus 5.5 | $0.00006 | $0.00176 |
| Sonnet 5.5 | $0.00003 | $0.00088 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
generative-ui 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generative UI
Generative UI is when the AI creates interface elements on the fly — forms, cards, charts, layouts — rather than responding with plain text. The interface itself becomes a model output.
What Generative UI Changes
Traditional UI is designed ahead of time. Generative UI is created in the moment:
- Static UI: Designer creates all possible screens. Developer builds them. User navigates between them.
- Generative UI: The AI creates interface elements in response to user needs. No screen was pre-designed. This shifts the designer's role from designing screens to designing the rules, constraints, and patterns the AI uses to generate screens.
Design Constraints for Generated UI
The AI needs guardrails for what it generates:
- Component library: A defined set of components the AI can compose (cards, tables, forms, charts, buttons)
- Layout rules: Grid systems, spacing, hierarchy rules the AI must follow
- Style boundaries: Colour, typography, and visual style the AI must stay within
- Interaction patterns: How generated elements behave (clickable, editable, dismissible)
- Accessibility requirements: Generated UI must meet accessibility standards automatically
When to Use Generative UI
Generative UI is powerful when:
- The output is structured data that benefits from visual presentation (tables, charts, comparisons)
- The user's request implies an interface (e.g., "show me a dashboard of...")
- Interactive elements would be more useful than text (e.g., forms, selectors, toggles)
- The content is highly variable and can't be pre-designed for every case
When Not to Use It
- When plain text is clearer and simpler
- When the generated UI could be confusing or inconsistent
- When accessibility cannot be guaranteed
- When the user expects a predictable, stable interface
Design Artefacts
- Generative UI component libraries (what the AI can use)
- Generation rules and constraints specification
- Quality criteria for generated interfaces
- Fallback designs for when generation fails
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 · 35 lines · 14 tokens per session scan A f7bf39e92952
generative-ui is a skill published in the GitHub repository Owl-Listener/ai-design-skills (189 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 441 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
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…