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Tamagui Best Practices

Organization
aiskillstore
tamagui-best-practices

Use when working with Tamagui projects (tamagui.config.ts, @tamagui imports).

Overview

Publisheraiskillstore
Repositorymarketplace
Skill nametamagui-best-practices
Stars
427
Forks
45
Bundled files
7
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aiskillstore on GitHub. Read the source before you install it.

Installation

Install the Tamagui Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xbigboss/tamagui-best-practices .claude/skills/tamagui-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tamagui Best Practices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tamagui Best Practices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tamagui Best Practices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tamagui Best Practices

Tamagui v1.x patterns beyond fundamentals: Config v4, compiler optimization, compound components, and gotchas.

Reference Files — Read Before Writing Code

ContextFileWhat it covers
Dialog, Sheet, modal overlays@DIALOG_PATTERNS.mdAdapt component, accessibility
Form, Input, Label, validation@FORM_PATTERNS.mdzod integration
Animations, transitions@ANIMATION_PATTERNS.mddrivers, enterStyle/exitStyle
Popover, Tooltip, Select@OVERLAY_PATTERNS.mdoverlay primitives
Compiler optimization@COMPILER_PATTERNS.mdwhat the compiler can/cannot flatten
Design tokens, theming@DESIGN_SYSTEM.mdpalette, token structure

Config v4

Minimal setup with @tamagui/config/v4. Add styleCompat: 'react-native' for new projects to align flexBasis with React Native behavior:

tsx
import { defaultConfig } from '@tamagui/config/v4'
import { createTamagui } from 'tamagui'

export const config = createTamagui({
  ...defaultConfig,
  settings: { ...defaultConfig.settings, styleCompat: 'react-native' },
})

declare module 'tamagui' {
  interface TamaguiCustomConfig extends typeof config {}
}

For custom themes use createThemes with palette/accent/childrenThemes — see @DESIGN_SYSTEM.md.

Compiler Optimization Rules

  • Use styled() variants instead of inline conditionals — dynamic values break flattening.
  • Avoid style={{ ... }} with variables; use variant props instead.
  • The context pattern (createStyledContext) disables compiler flattening — use for higher-level components (Button, Card), not primitives.
tsx
// BAD — breaks compiler
<View backgroundColor={isDark ? '$gray1' : '$gray12'} />

// GOOD — use variants
const Box = styled(View, {
  variants: {
    dark: { true: { backgroundColor: '$gray1' }, false: { backgroundColor: '$gray12' } },
  },
})

styled() vs Inline

  • styled(): reusable components, variant-driven behavior, compiler-optimizable primitives.
  • Inline props: one-off layout adjustments on already-styled components.
  • Always use as const on variants objects (TypeScript limitation until inferred const generics).

Key Gotchas

Prop order determines override priority — props after a spread cannot be overridden by callers:

tsx
// width is locked; backgroundColor can be overridden
<View backgroundColor="$red10" {...props} width={200} />

Variant order matters — later props win:

tsx
<Component scale={3} huge />  // scale = 3 (scale listed first)
<Component huge scale={3} />  // scale = 2 (huge overrides, comes first in variants)

Use .styleable() when wrapping styled components — preserves variant inheritance:

tsx
const CorrectWrapper = StyledText.styleable((props, ref) => (
  <StyledText ref={ref} {...props} />
))

accept prop for non-standard token resolution (SVG fill/stroke, contentContainerStyle):

tsx
const StyledSVG = styled(SVG, {}, { accept: { fill: 'color', stroke: 'color' } as const })

Import consistencytamagui, @tamagui/core, and @tamagui/button are different packages; pick one approach per project.

Never mix RN StyleSheet with Tamagui — StyleSheet values don't resolve tokens.

Platform branching for Dialog/Sheet — use Adapt instead of Platform.OS checks (see @DIALOG_PATTERNS.md).

Quick Reference

Config v4 shorthands: bg backgroundColor, p padding, m margin, w width, h height, br borderRadius

Media breakpoints: $xs 660px, $sm 800px, $md 1020px, $lg 1280px, $xl 1420px

Animation drivers: css (web, default), react-native-reanimated (native, required)

Token $ prefix: use in props (color="$color"), omit in theme definitions ({ color: palette[11] })

Fetching Current Docs

bash
curl -sL "https://tamagui.dev/docs/core/configuration.md"
curl -sL "https://tamagui.dev/llms.txt"  # full index

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tamagui Best Practices AI skill do?

Use when working with Tamagui projects (tamagui.config.ts, @tamagui imports).

Why use Tamagui Best Practices on TypingMind?

Because you install it once and use it with any model. Tamagui Best Practices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tamagui Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xbigboss/tamagui-best-practices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tamagui Best Practices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tamagui Best Practices?

As many as you like. As long as a model supports skills, you can use Tamagui Best Practices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tamagui Best Practices AI skill free?

It is published on GitHub by aiskillstore. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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