---
name: pandacss-styling
description: Panda CSS zero-runtime styling — token system, patterns, recipes, conditions, JSX styles
domain: content
tags:
- content-creation
- digital-content
- media
- pandacss
- styling
---



## Overview

Panda CSS is a zero-runtime CSS-in-JS framework with a token system, patterns, recipes, and JSX style props. Generates static CSS at build time with full TypeScript support.

## Capabilities

- Zero-runtime CSS generation
- Design token system with semantic tokens
- Patterns for common layout primitives
- Recipes for component variants
- Conditions for responsive and state styles
- JSX style props for inline styling
- Works with React, Vue, Solid, Qwik

## When to Use

- Want type-safe styling with design tokens
- Need component variants without runtime cost
- Building design systems with consistent tokens
- Using JSX style props for rapid development

## When NOT to Use

- Task is about content strategy, not creation (use strategy skills)
- Task is about content distribution (use distribution skills)
- You need to analyze content performance (use analytics skills)
- Task is about content moderation (use moderation tools)
- You don't have content guidelines
- Task requires domain expertise (consult experts)


## Pseudo Code

The pandacss-styling workflow follows a standard pipeline pattern.

Core flow:
```
# pandacss-styling primary flow
input = prepare(raw_data)
result = process(input, config={conditions, panda, pandacss, patterns, recipes})
validate(result)
deliver(result)
```

Error handling:
```
on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()
```


### Core Workflow
```
# pandacss-styling primary flow
input = prepare(raw_data)
result = process(input, config={conditions, panda, pandacss, patterns, recipes})
validate(result)
deliver(result)
```

### Error Handling
```
on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()
```


### Configuration
```ts
// panda.config.ts
import { defineConfig } from "@pandacss/dev"

export default defineConfig({
  preflight: true,
  include: ["./src/**/*.{ts,tsx}"],
  exclude: [],
  theme: {
    extend: {
      tokens: {
        colors: {
          primary: { value: "#3b82f6" },
          secondary: { value: "#8b5cf6" },
        },
      },
    },
  },
  outdir: "styled-system",
})
```

### Token Usage
```tsx
import { css } from "styled-system/css"

const styles = css({
  color: "primary",
  bg: "gray.100",
  p: "4",
  borderRadius: "md",
  _hover: { bg: "gray.200" },
})
```

### Recipes (Variants)
```ts
// styled-system/recipes/button.ts
import { cva } from "styled-system/css"

export const button = cva({
  base: {
    display: "inline-flex",
    alignItems: "center",
    fontWeight: "semibold",
    borderRadius: "md",
  },
  variants: {
    variant: {
      primary: { bg: "primary", color: "white" },
      outline: { border: "1px solid", borderColor: "primary", color: "primary" },
    },
    size: {
      sm: { px: "3", py: "1.5", fontSize: "sm" },
      md: { px: "4", py: "2" },
      lg: { px: "6", py: "3", fontSize: "lg" },
    },
  },
  defaultVariants: { variant: "primary", size: "md" },
})
```

### JSX Style Props
```tsx
import { styled } from "styled-system/jsx"

export function Card({ children }) {
  return (
    <styled.div
      p="6"
      bg="white"
      rounded="lg"
      shadow="md"
      _dark={{ bg: "gray.800" }}
    >
      {children}
    </styled.div>
  )
}
```

### Patterns (Layout Primitives)
```tsx
import { Stack, HStack, Grid } from "styled-system/jsx"

<Stack gap="4">
  <HStack justify="space-between">
    <styled.span>Title</styled.span>
    <styled.button>Action</styled.button>
  </HStack>
  <Grid columns={3} gap="4">{items}</Grid>
</Stack>
```

## Common Patterns

- **Conditions**: `_hover`, `_focus`, `_dark`, `_motionReduce`, `_sm`, `_md`, `_lg`
- **Semantic tokens**: `colors.primary` → `colors.primary.default`, `colors.primary.subtle`
- **Pattern library**: Stack, HStack, VStack, Grid, Flex, Box, Container
- **Recipe composition**: `cx(button({ variant: "primary" }), extraClass)`
- **Static extraction**: Run `panda codegen` to generate styled-system types

## How to Use

1. Define content goal (traffic, engagement, conversion, brand awareness)
2. Research target audience pain points and search intent
3. Generate content using appropriate AI tools
4. Edit and humanize output for authenticity
5. Optimize for target platform (SEO, hashtags, format)
6. Schedule and distribute across channels
7. Measure performance and iterate

## Red Flags

- **AI-generated content sounds robotic**: Always run through humanizer before publishing
- **Engagement dropping week-over-week**: Content fatigue or algorithm change — vary formats
- **Duplicate content across platforms**: Adapt content per platform, don't just cross-post
- **No content calendar**: Sporadic posting kills audience retention
- **Ignoring analytics**: Content without measurement is just publishing, not marketing

## Verification

- [ ] Skill output matches expected behavior

## Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality