skills/core-components/SKILL.md
Core component library and design system patterns. Use when building UI, using design tokens, or working with the component library.
npx skillsauth add legendaryabhi/agent-skills-hub core-componentsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use components from your core library instead of raw platform components. This ensures consistent styling and behavior.
NEVER hard-code values. Always use design tokens.
// CORRECT - Use tokens
<Box padding="$4" marginBottom="$2" />
// WRONG - Hard-coded values
<Box padding={16} marginBottom={8} />
| Token | Value |
|-------|-------|
| $1 | 4px |
| $2 | 8px |
| $3 | 12px |
| $4 | 16px |
| $6 | 24px |
| $8 | 32px |
// CORRECT - Semantic tokens
<Text color="$textPrimary" />
<Box backgroundColor="$backgroundSecondary" />
// WRONG - Hard-coded colors
<Text color="#333333" />
<Box backgroundColor="rgb(245, 245, 245)" />
| Semantic Token | Use For |
|----------------|---------|
| $textPrimary | Main text |
| $textSecondary | Supporting text |
| $textTertiary | Disabled/hint text |
| $primary500 | Brand/accent color |
| $statusError | Error states |
| $statusSuccess | Success states |
<Text fontSize="$lg" fontWeight="$semibold" />
| Token | Size |
|-------|------|
| $xs | 12px |
| $sm | 14px |
| $md | 16px |
| $lg | 18px |
| $xl | 20px |
| $2xl | 24px |
Base layout component with token support:
<Box
padding="$4"
backgroundColor="$backgroundPrimary"
borderRadius="$lg"
>
{children}
</Box>
Horizontal and vertical flex layouts:
<HStack gap="$3" alignItems="center">
<Icon name="user" />
<Text>Username</Text>
</HStack>
<VStack gap="$4" padding="$4">
<Heading>Title</Heading>
<Text>Content</Text>
</VStack>
Typography with token support:
<Text
fontSize="$lg"
fontWeight="$semibold"
color="$textPrimary"
>
Hello World
</Text>
Interactive button with variants:
<Button
onPress={handlePress}
variant="solid"
size="md"
isLoading={loading}
isDisabled={disabled}
>
Click Me
</Button>
| Variant | Use For |
|---------|---------|
| solid | Primary actions |
| outline | Secondary actions |
| ghost | Tertiary/subtle actions |
| link | Inline actions |
Form input with validation:
<Input
value={value}
onChangeText={setValue}
placeholder="Enter text"
error={touched ? errors.field : undefined}
label="Field Name"
/>
Content container:
<Card padding="$4" gap="$3">
<CardHeader>
<Heading size="sm">Card Title</Heading>
</CardHeader>
<CardBody>
<Text>Card content</Text>
</CardBody>
</Card>
const MyScreen = () => (
<Screen>
<ScreenHeader title="Page Title" />
<ScreenContent padding="$4">
{/* Content */}
</ScreenContent>
</Screen>
);
<VStack gap="$4" padding="$4">
<Input label="Name" {...nameProps} />
<Input label="Email" {...emailProps} />
<Button isLoading={loading}>Submit</Button>
</VStack>
<HStack
padding="$4"
gap="$3"
alignItems="center"
borderBottomWidth={1}
borderColor="$borderLight"
>
<Avatar source={{ uri: imageUrl }} size="md" />
<VStack flex={1}>
<Text fontWeight="$semibold">{title}</Text>
<Text color="$textSecondary" fontSize="$sm">{subtitle}</Text>
</VStack>
<Icon name="chevron-right" color="$textTertiary" />
</HStack>
// WRONG - Hard-coded values
<View style={{ padding: 16, backgroundColor: '#fff' }}>
// CORRECT - Design tokens
<Box padding="$4" backgroundColor="$backgroundPrimary">
// WRONG - Raw platform components
import { View, Text } from 'react-native';
// CORRECT - Core components
import { Box, Text } from 'components/core';
// WRONG - Inline styles
<Text style={{ fontSize: 18, fontWeight: '600' }}>
// CORRECT - Token props
<Text fontSize="$lg" fontWeight="$semibold">
When creating components, use token-based props:
interface CardProps {
padding?: '$2' | '$4' | '$6';
variant?: 'elevated' | 'outlined' | 'filled';
children: React.ReactNode;
}
const Card = ({ padding = '$4', variant = 'elevated', children }: CardProps) => (
<Box
padding={padding}
backgroundColor="$backgroundPrimary"
borderRadius="$lg"
{...variantStyles[variant]}
>
{children}
</Box>
);
development
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
development
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
tools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
testing
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.