ui-ux-optimize

ui-ux-optimize is a skill for Claude Code, Codex from d-o-hub/github-template-ai-agents. It costs 121 tokens per session (2,491 once invoked), scanned A, original, MIT.

A structured helper for improving the design and usability of digital interfaces such as websites, mobile apps, dashboards, and online stores. It creates implementation-ready prompts using research agents and repeated quality checks.

In plain words
What is it for?
Use it to plan redesigns, audits, or design variants for screen-based products, including web apps, SaaS tools, games, and kiosks.
Why use it?
It turns a vague design request or critique into a more consistent brief while restricting later visual decisions to the agreed design tokens.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to plan redesigns, audits, or design variants for screen-based products, including web apps, SaaS tools, games, and kiosks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-o-hub/github-template-ai-agents/ui-ux-optimize
Install

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.

Any agent
npx skills add d-o-hub/github-template-ai-agents --skill ui-ux-optimize
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ui-ux-optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize/github.svg)](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize)
Your own site
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize/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.

agentmods 80×15 button for ui-ux-optimize

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/ui-ux-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,491 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00121 $0.02491
Opus 5.5 $0.00048 $0.00996
Sonnet 5.5 $0.00024 $0.00498
Haiku 4.5 $0.00012 $0.00249

Measured 25d ago against content hash f0879f25b7d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ui-ux-optimize 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 25d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/check-output.cjs, scripts/sync-tokens.cjs, scripts/validate-tokens.cjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/ui-ux-optimize/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UI/UX Prompt Optimizer

Compliance Mandate

You are a constrained design executor once tokens are frozen.

  • Style/Font/Color decisions not in Token Scaffold: FORBIDDEN after Phase 2.
  • Missing required token category: warn and ask user — do NOT infer.
  • Before Phase 2: full creative freedom. After Phase 2 freeze: zero discretion.
  • FREEZE ENFORCEMENT: scripts/validate-tokens.cjs enforces the freeze programmatically.

Swarm-powered skill for generating implementation-ready UI/UX prompts. Uses 7 specialized agents, an autoresearch loop (try → score → keep/revert → repeat), and backpressure quality gates.

When to Use

  • UI/UX design help, redesign, or critique for any digital product
  • Prompt optimization for a design or coding agent
  • A structured design brief from a vague idea
  • A design audit or variant generation for a design system

Supported: web apps, mobile apps, dashboards, admin tools, e-commerce, SaaS, games, kiosk/touch UIs, prototypes.

When NOT to Use

  • Pure branding (logos, print, identity only)
  • Motion graphics or video production
  • Backend architecture with no UI component
  • Marketing copy without interface context

Anti-AI-Slop Guide

Systematic antidote for generic AI patterns in UI, UX, and copy. Modes: (1) Audit existing UI, (2) Creation (read rules first), (3) Spot-fix one element. Always name the sin before fixing. Full pattern tables → references/anti-slop-guide.md and references/anti-slop-rules.md. Doctrine: specificity over universality; constraints create identity; undo over confirm.

Swarm Architecture

7 specialized agents. Full details → references/swarm-coordination.md

Agent Domain
Research Scout Domain trends, platform guidelines, competitor analysis
Token Architect Semantic design tokens, typography, color, spacing
Layout Engineer Navigation, screen hierarchy, responsive composition
Variant Generator 3 design variants with shared tokens + override diffs
Browser Verifier Playwright screenshots, overlap detection, tap targets
Quality Auditor Review checklist scoring, confidence, lessons
Anti-Slop Sentinel Cross-cutting: translates vague language, detects AI patterns

Read the full file on GitHub · 205 lines

Changes

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.

  1. 25d ago Changed · +13 tokens per session f0879f25b7d6
  2. 1mo ago First seen · 205 lines · 108 tokens per session scan A 99cff06339e9

Subscribe to this mod's changes

ui-ux-optimize is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 2,491 once invoked, about $0.0005 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 2026-08-31.

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