Hig Components Content logo

Hig Components Content

Organization
raintree-technology
hig-components-content

Apple Human Interface Guidelines for content display components. Use this skill when the user asks about "charts component", "collection view", "image view", "web view", "color well", "image well", "activity view", "lockup", "data visualization", "content display", displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says "how should I display charts", "what's the best way to show images", "should I use a web view", "how do I build a grid of items", "what component shows media", or "how do I present a share sheet". Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.

Overview

Publisherraintree-technology
Repositoryhig-doctor
Skill namehig-components-content
Stars
148
Forks
10
Bundled files
8
LicenseMIT
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.

  • 8 bundled files

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

  • Open source

    Published by raintree-technology on GitHub. Read the source before you install it.

Installation

Install the Hig Components Content 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/raintree-technology/hig-doctor/tree/main/skills/hig-components-content
  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/raintree-technology/hig-doctor.git /tmp/hig-doctor
mkdir -p .claude/skills
cp -r /tmp/hig-doctor/skills/hig-components-content .claude/skills/hig-components-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hig Components Content 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 Hig Components Content 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 Hig Components Content 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.

Apple HIG: Content Components

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

Key Principles

  1. Adapt to different sizes and contexts. Content components must work across screen sizes, orientations, and multitasking configurations. Use Auto Layout and size classes.

  2. Make content accessible. Charts need audio graph support. Images need alt text. Collections need proper VoiceOver navigation order. All content components need labels and descriptions.

  3. Maintain visual hierarchy. Use spacing, sizing, and grouping to establish clear information hierarchy. Primary content should be visually prominent.

  4. Use system components first. Evaluate UICollectionView, SwiftUI Charts, WKWebView before building custom. System components come with built-in accessibility and platform adaptation.

  5. Respect platform conventions. A collection on tvOS uses large lockups with parallax. The same collection on iOS uses compact cells with touch targets. On visionOS, content gains depth and hover effects.

  6. Handle empty states. Show a meaningful empty state with guidance on how to populate it, not a blank screen.

  7. Optimize for performance. Use lazy loading, cell reuse, pagination, and prefetching for large datasets.

Reference Index

ReferenceTopicKey content
charts.mdChartsSwift Charts, bar/line/area/point marks, chart accessibility, audio graphs
collections.mdCollectionsGrid/list layouts, compositional layout, selection, reordering, diffable data sources
image-views.mdImage ViewsAspect ratio handling, content modes, SF Symbol images, accessibility
image-wells.mdImage WellsDrag-and-drop image selection, macOS-specific, placeholder content
color-wells.mdColor WellsColor selection UI, system color picker, custom color spaces
web-views.mdWeb ViewsWKWebView, SFSafariViewController, navigation controls, content restrictions
activity-views.mdActivity ViewsShare sheets, activity items, custom activities, action extensions
lockups.mdLockupsImage+text elements, tvOS card layouts, focus effects, shelf layouts

Component Selection Guide

Content NeedRecommended ComponentPlatform Notes
Visualizing quantitative dataCharts (Swift Charts)iOS 16+, macOS 13+, watchOS 9+
Browsing a grid or list of itemsCollection ViewCompositional layout for complex arrangements
Displaying a single imageImage ViewSupport aspect ratio fitting; provide accessibility description
Selecting an image via drag or browseImage WellmacOS primarily; use image pickers on iOS
Selecting a colorColor WellTriggers system color picker; macOS, iOS 14+
Showing web content inlineWeb View (WKWebView)Use SFSafariViewController for external browsing
Sharing content to other appsActivity ViewSystem share sheet with configurable activity types
Content card (image + text)LockupPrimarily tvOS; adaptable to other platforms

Output Format

  1. Component recommendation with rationale, referencing the relevant HIG reference file.
  2. Configuration guidance -- key properties and setup.
  3. Accessibility requirements for the recommended component.
  4. Platform-specific notes for targeted platforms.

Questions to Ask

  1. What type of content? (Quantitative data, images, web content, browsable collection, share action?)
  2. Which platforms?
  3. Static or dynamic content?
  4. How much content? (Few items vs hundreds/thousands affects component choice and optimization.)

Related Skills

  • hig-foundations -- Color, typography, accessibility, and image guidelines
  • hig-patterns -- Data visualization, sharing, and loading patterns
  • hig-components-layout -- Structural containers (scroll views, lists, split views) hosting content
  • hig-platforms -- Platform-specific component behavior (lockups on tvOS, web views on macOS)

Built by Raintree Technology · More developer tools

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 Hig Components Content AI skill do?

Apple Human Interface Guidelines for content display components. Use this skill when the user asks about "charts component", "collection view", "image view", "web view", "color well", "image well", "activity view", "lockup", "data visualization", "content display", displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says "how should I display charts", "what's the best way to show images", "should I use a web view", "how do I build a grid of items", "what component shows media", or "how do I present a share sheet"....

Why use Hig Components Content on TypingMind?

Because you install it once and use it with any model. Hig Components Content 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 Hig Components Content in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/raintree-technology/hig-doctor/tree/main/skills/hig-components-content. 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 Hig Components Content?

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 Hig Components Content?

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

Is the Hig Components Content AI skill free?

Yes. It is published on GitHub by raintree-technology under the MIT license. 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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