Atlas / Skills / addyosmani / Frontend Ui Engineering

Frontend Ui EngineeringSAFE

skills/addyosmani/frontend-ui-engineering

Production-grade engineering skills for AI coding agents.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
99,537
01

Overview

Production-grade engineering skills for AI coding agents.

Read from source at commit 9be8f7674e77OBSERVED · 2026-09-28
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: frontend-ui-engineering
description: Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated.
---

# Frontend UI Engineering

## Overview

Build production-quality user interfaces that are accessible, performant, and visually polished. The goal is UI that looks like it was built by a design-aware engineer at a top company — not like it was generated by an AI. This means real design system adherence, proper accessibility, thoughtful interaction patterns, and no generic "AI aesthetic."

## When to Use

- Building new UI components or pages
- Modifying existing user-facing interfaces
- Implementing responsive layouts
- Adding interactivity or state management
- Fixing visual or UX issues

## Component Architecture

### File Structure

Colocate everything related to a component:

```
src/components/
  TaskList/
    TaskList.tsx          # Component implementation
    TaskList.test.tsx     # Tests
    TaskList.stories.tsx  # Storybook stories (if using)
    use-task-list.ts      # Custom hook (if complex state)
    types.ts              # Component-specific types (if needed)
```

### Component Patterns

**Prefer composition over configuration:**

```tsx
// Good: Composable
<Card>
  <CardHeader>
    <CardTitle>Tasks</CardTitle>
  </CardHeader>
  <CardBody>
    <TaskList tasks={tasks} />
  </CardBody>
</Card>

// Avoid: Over-configured
<Card
  title="Tasks"
  headerVariant="large"
  bodyPadding="md"
  content={<TaskList tasks={tasks} />}
/>
```

**Keep components focused:**

```tsx
// Good: Does one thing
export function TaskItem({ task, onToggle, onDelete }: TaskItemProps) {
  return (
    <li className="flex items-center gap-3 p-3">
      <Checkbox checked={task.done} onChange={() => onToggle(task.id)} />
      <span className={task.done ? 'line-through text-muted' : ''}>{task.title}</span>
      <Button variant="ghost" size="sm" onClick={() => onDelete(task.id)}>
        <TrashIcon />
      </Button>
    </li>
  );
}
```

**Separate data fetching from presentation:**

```tsx
// Container: handles data
export function TaskListContainer() {
  const { tasks, isLoading, error } = useTasks();

  if (isLoading) return <TaskListSkeleton />;
  if (error) return <ErrorState message="Failed to load tasks" retry={refetch} />;
  if (tasks.length === 0) return <EmptyState message="No tasks yet" />;

  return <TaskList tasks={tasks} />;
}

// Presentation: handles rendering
export function TaskList({ tasks }: { tasks: Task[] }) {
  return (
    <ul role="list" className="divide-y">
      {tasks.map(task => <TaskItem key={task.id} task={task} />)}
    </ul>
  );
}
```

## State Management

**Choose the simplest approach that works:**

```
Local state (useState)           → Component-specific UI state
Lifted state                     → Shared between 2-3 sibling components
Context                          → Theme, auth, locale (read-heavy, write-rare)
URL state (searchParams)         → Filters, pagination, shareable UI state
Server state (React Query, SWR)  → Remote data with caching
Global store (Zustand, Redux)    → Complex client state shared app-wide
```

**Avoid prop drilling deeper than 3 levels.** If you're passing props through components that don't use them, introduce context or restructure the component tree.

## Design System Adherence

### Reference-led UI quality

When the product needs a distinct visual direction, collect evidence before choosing a layout:

1. Search a trusted reference catalogue or use references supplied by the product team.
2. Study two or three relevant screens. Record decisions about hierarchy, density, navigation, controls, responsive behavior, and interaction states.
3. Turn those decisions into a short design contract before implementation. Name the screen's job, primary action, required states, responsive rules, and patterns to reject.
4. Rebuild the useful structure in the product's own components, tokens, content, and visual language. Never copy another product's branding, proprietary text, imagery, or exact layout.

Use references as evidence, not as templates. If references are unavailable, document the assumptions and verify the result against the product's existing design system.

### Avoid the AI Aesthetic

AI-generated UI has recognizable patterns. Avoid all of them:

| AI Default | Why It Is a Problem | Production Quality |
|---|---|---|
| Purple/indigo everything | Models default to visually "safe" palettes, making every app look identical | Use the project's actual color palette |
| Excessive gradients | Gradients add visual noise and clash with most design systems | Flat or subtle gradients matching the design system |
| Rounded everything (rounded-2xl) | Maximum rounding signals "friendly" but ignores the hierarchy of corner radii in real designs | Consistent border-radius from the design system |
| Generic hero sections | Template-driven layout with no connection to the actual content or user need | Content-first layouts |
| Lorem ipsum-style copy | Placeholder text hides layout problems that real content reveals (length, wrapping, overflow) | Realistic placeholder content |
| Oversized padding everywhere | Equal generous padding destroys visual hierarchy and wastes screen space | Consistent spacing scale |
| Stock card grids | Uniform grids are a layout shortcut that ignores information priority and scanning patterns | Purpose-driven layouts |
| Shadow-heavy design | Layered shadows add depth that competes with content and slows rendering on low-end devices | Subtle or no shadows unless the design system specifies |

### Spacing and Layout

Use a consistent spacing scale. Don't invent values:

```css
/* Use the scale: 0.25rem increments (or whatever the project uses) */
/* Good */  padding: 1rem;  
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
.opencode/skills
.opencode/skills
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-09-28 · audit v0.4.1 · source sha 9be8f7674e77full audit observations/trust-audit/skill/addyosmani__frontend-ui-engineering.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-289be8f7674e77SAFEB89first audit
05

Questions

What does the Frontend Ui Engineering skill do?

Production-grade engineering skills for AI coding agents.

Is Frontend Ui Engineering safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Frontend Ui Engineering access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (9be8f7674e77), read on 2026-09-28. The repository is watched, and a new audit runs when it changes — this is the first audit.

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