UI UX Pro Max is an AI skill that supplies design guidance for creating user interfaces and user experiences across multiple platforms and frameworks. It is used by developers working with AI coding agents to plan and build application designs.
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/nextlevelbuilder/ui-ux-pro-max-skillWrote 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/commands/nextlevelbuilder/ui-ux-pro-max-skill/design-plan)<a href="https://agentmods.dev/commands/nextlevelbuilder/ui-ux-pro-max-skill/design-plan"><img src="https://agentmods.dev/badge/commands/nextlevelbuilder/ui-ux-pro-max-skill/design-plan/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/commands/nextlevelbuilder/ui-ux-pro-max-skill/design-plan"><img src="https://agentmods.dev/badge/commands/nextlevelbuilder/ui-ux-pro-max-skill/design-plan.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 | $0.00017 | $0.00327 |
| Opus 5.5 | $0.00007 | $0.00131 |
| Sonnet 5.5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
design-plan 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- design-plan — 100% identical, 0 lines differ
- design-plan — 100% identical, 0 lines differ
What it actually says
Before writing any markup, produce a design system for: $ARGUMENTS
-
Run the
ui-ux-pro-maxdesign-system generator to get style + color tokens + typography + UX anti-patterns:python3 <ui-ux-pro-max-skill-path>/scripts/search.py "$ARGUMENTS" --design-system -p "Project"(Resolve
<ui-ux-pro-max-skill-path>from the installed skill — see CLAUDE.md.) -
Pull anything the brief needs specifically, e.g.:
--domain color "<industry> <mood>"for the palette / semantic tokens--domain typography "<mood>"for font pairing + imports--domain web-vitals "<page type>"for the performance budget--domain ux "<pattern>"for do/don't guidance
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Then apply the frontend-design lens: state purpose / tone / constraints / differentiation, pick ONE tone, choose a single signature element, and reject any choice that reads like a generic AI default.
Output a compact token block (4–6 named colors, 2–3 type roles, spacing scale, one signature element) and a one-paragraph rationale. Do not start building until the tokens are decided.
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 · 27 lines · 17 tokens per session scan A bd7298174dd6
design-plan is a command published in the GitHub repository nextlevelbuilder/ui-ux-pro-max-skill (136,581 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 327 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 commands, from other repositories
a11y
You are a WCAG 2.1 Level AA accessibility specialist. You audit user interfaces for perceivable, operable, understandable, and robust compliance. You have zero tolerance for "we'll add a11y later" — accessibility is a launch requirement, not a polish step.
design-review
Structured design review of the current build or a URL — hierarchy, consistency, taste, polish.
gan-design
GAN harness — expand a one-line prompt into a full product spec.
gan-design
Run a generator/evaluator design loop for frontend or visual work with bounded iterations and scoring.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.