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Components.Best Practices

Organization
coinbase
components.best-practices

Use this skill whenever working on CDS React components in any package.

Overview

Publishercoinbase
Repositorycds
Skill namecomponents.best-practices
Stars
506
Forks
114
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Components.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.
    https://github.com/coinbase/cds/tree/master/.claude/skills/components.best-practices
  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/coinbase/cds.git /tmp/cds
mkdir -p .claude/skills
cp -r /tmp/cds/.claude/skills/components.best-practices .claude/skills/components.best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Components.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 Components.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 Components.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.

React Component Development Rules

Component Development Workflow

  1. Research similar reference components and given requirements/description
  2. Optionally, ask clarifying questions about the component's requirements & behavior
  3. Implement the component with unit tests & stories on web first before proceeding to mobile if both platforms were requested.
  4. Never write figma code connect files unless explicitly instructed to do so.
  5. Follow remaining general coding standards and guidelines you've been given.

Reference Components

These high quality components demonstrate proper use of patterns/conventions:

  • Select (alpha/): generics, controlled/uncontrolled, compound architecture
  • Stepper: props-based defaults, metadata generics, compound components
  • Carousel (web): compound components, imperative handle, context + hook
  • RollingNumber: animation config extraction, measurement patterns
  • SlideButton (mobile): gesture handling, spring animations, accessibility actions

Organization

File Structure

Every main CDS component should live within its own folder:

ComponentName/
├── ComponentName.tsx       # Main component file
├── SubComponent.tsx        # Supporting component (if needed)
├── index.ts                # Re-exports for public API
├── __stories__/            # Storybook stories
│   └── ComponentName.stories.tsx
├── __tests__/              # Unit tests
│   └── ComponentName.test.tsx
├── __figma__/              # Figma Code Connect files
│   └── ComponentName.figma.tsx

Component Categories

Organize components into category folders:

  • buttons - Button, IconButton, SlideButton
  • controls - TextInput, Select, Checkbox, Radio, Switch
  • cards - Card, DataCard, ContentCard
  • overlays - Modal, Toast, Alert, Drawer
  • layout - Box, Stack, Divider
  • typography - Text, Heading
  • icons - Icon
  • navigation - Tabs, Breadcrumb

Component Conventions

  • Memoize: Always memoize components with React's memo HOC
  • refs: All components should accept a ref via React's forwardRef pattern
  • Props documentation: Every prop that does not have a falsy default must have JSDoc comments with @default tags
  • Type exports: Export both a *BaseProps and *Props type (e.g., ButtonBaseProps, ButtonProps)
  • Style overrides: All components MUST support a way to override styles (varries by web/mobile platform)
  • testID: Support testID prop on root element for every component
  • Use design tokens: Reference packages/common/src/core/theme.ts:57-331 as the definitive source for available token names
  • Padding over margin: Use padding in combination with flex gap to achieve spacing instead of margin.

Design Token System

Token Categories

Design tokens are defined in packages/common/src/core/theme.ts:

  • Color: fg, fgMuted, fgInverse, fgPrimary, bgPrimary, bgSecondary, bgNegative, bgPositive, etc.
  • Space: 0, 0.25, 0.5, 0.75, 1, 1.5, 2, 3, 4, 5, 6, 7, 8, 9, 10 (8px base unit)
  • IconSize: xs (12px), s (16px), m (24px), l (32px)
  • AvatarSize: s, m, l, xl, xxl, xxxl
  • BorderWidth: 0, 100, 200, 300, 400, 500
  • BorderRadius: 0, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000
  • Font: display1-3, title1-4, headline, body, label1-2, caption, legal
  • Shadow: elevation1, elevation2

Semantic Color System

Colors use a spectrum system with hue + step notation:

  • Hues: blue, green, orange, yellow, gray, indigo, pink, purple, red, teal, chartreuse
  • Steps: 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100
  • Example: blue60 = Coinbase brand blue (#0052FF)

Semantic tokens map to spectrum colors and adapt to light/dark mode:

  • fgPrimary: blue60 (light) / blue70 (dark)
  • bgPrimary: blue60 (light) / blue70 (dark)
  • bgNegative: red60 (both modes)
  • bgPositive: green60 (both modes)

Space Scale

typescript
space: {
  '0': 0,      // 0px
  '0.25': 2,   // 2px
  '0.5': 4,    // 4px
  '0.75': 6,   // 6px
  '1': 8,      // 8px - base unit
  '1.5': 12,   // 12px
  '2': 16,     // 16px
  '3': 24,     // 24px
  '4': 32,     // 32px
  '5': 40,     // 40px
  // ... up to 10 (80px)
}

Component Patterns

Compound Components

  • Break components down into discrete subcomponents (i.e. "slots")
  • Use this pattern for complex components with clear, distinct parts
  • Accept optional subcomponent props with sensible defaults using *Component/Default* naming:
    ts
    NavigationComponent = DefaultCarouselNavigation,
    PaginationComponent = DefaultCarouselPagination,
  • The names of classNames/styles keys must line up with the name of the subcomponents (e.g. classNames.pagination, styles.pagination).
  • Examples: Stepper, Carousel, Select (alpha)

Benefits:

  • Complete customization without forking
  • Sensible defaults for common use case
  • Exported subcomponents for consumers to customize/wrap themselves

Context + Hook Pattern

  • Pair contexts with use*Context() hooks that throw descriptive errors on misuse:
    ts
    export const useCarouselContext = () => {
      const context = useContext(CarouselContext);
      if (!context) throw new Error('useCarouselContext must be used within Carousel');
      return context;
    };

Controlled/Uncontrolled Components

  • Support both patterns for input components; validate and throw if consumer mixes them (e.g., provides value but not onChange)
  • Use internal state with prop override: const open = openProp ?? openInternal;

Generics for Type Safety

  • Use generics for components with dynamic value types:
    ts
    type SelectComponent = <Type extends SelectType, Value extends string>(
      props: SelectProps<Type, Value>,
    ) => React.ReactElement;
  • Examples: Select (alpha), Stepper

Typography props on composites

When a composite wraps inner Text and intercepts typography style props so they style the label (not the layout wrapper), intercept and forward the full set: font, fontFamily, fontSize, fontWeight, lineHeight, textTransform.

Reference: SegmentedTab and Tag.

BaseProps & Props

  • Component modules encapsulate two prop Types: *BaseProps (platform-agnostic) and *Props (extends BaseProps with platform and component specific properties like className, classNames, styles, etc.)

  • Reuse other components' Types via utilities: Pick being preferred then secondarily Omit/Exclude

  • Compose prop types using Typescript intersections (&) in this order: (1) full types (2) Picks (3) Omits (4) other type literal(s):

    ts
    type MyComponentProps = BoxBaseProps &
      Pick<OtherComponentProps, 'someProp'> &
      Omit<AnotherComponentProps, 'otherProp'> & {
        propA: string;
        propB: number;
      };
  • When accepting components as props, define the contract types (*Props, *Component) in the main component file. These child component contracts do not use the *BaseProps pattern—only the main component needs BaseProps/Props separation. Default implementations can extend the contract with additional props in their own file:

    ts
    // In MyComponent.tsx - defines the contract
    type ChildProps = { id: string; label: ReactNode };
    type ChildComponent = React.FC<ChildProps>;
    
    // In DefaultChild.tsx - extends for default implementation
    type DefaultChildProps = SharedProps & Omit<HStackProps, 'children'> & ChildProps;

Frequently asked questions

What does the Components.Best Practices AI skill do?

Use this skill whenever working on CDS React components in any package.

Why use Components.Best Practices on TypingMind?

Because you install it once and use it with any model. Components.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 Components.Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coinbase/cds/tree/master/.claude/skills/components.best-practices. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Components.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 Components.Best Practices?

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

Is the Components.Best Practices AI skill free?

It is published on GitHub by coinbase. 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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