Hig Patterns logo

Hig Patterns

Organization
raintree-technology
hig-patterns

Apple Human Interface Guidelines interaction and UX patterns. Use this skill when the user asks about "onboarding flow", "user onboarding", "app launch", "loading state", "drag and drop", "search pattern", "settings design", "notifications", "modality", "multitasking", "feedback pattern", "haptics", "undo redo", "file management", data entry, sharing, collaboration, full screen, audio, video, haptic feedback, ratings, printing, help, or account management in Apple apps. Also use when the user says "how should onboarding work", "my app takes too long to load", "should I use a modal here", "how do I handle errors", "when should I ask for permissions", "how to show progress", or "what's the right way to confirm a delete". Cross-references: hig-foundations for underlying principles, hig-platforms for platform specifics, hig-components-layout for navigation, hig-components-content for data display.

Overview

Publisherraintree-technology
Repositoryhig-doctor
Skill namehig-patterns
Stars
148
Forks
10
Bundled files
25
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.

  • 25 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 Patterns 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-patterns
  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-patterns .claude/skills/hig-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hig Patterns 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 Patterns 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 Patterns 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: Interaction Patterns

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

Key Principles

  1. Minimize modality. Use modality only when it is critical to get attention, a task must be completed or abandoned, or saving changes is essential. Prefer non-modal alternatives.

  2. Provide clear feedback. Every action should produce visible, audible, or haptic response. Activity indicators for indeterminate waits, progress bars for determinate, haptics for physical confirmation.

  3. Support undo over confirmation dialogs. Destructive actions should be reversible when possible. Undo is almost always better than "Are you sure?"

  4. Launch quickly. Display a launch screen that transitions seamlessly into the first screen. No splash screens with logos. Restore previous state.

  5. Defer sign-in. Let users explore before requiring account creation. Support Sign in with Apple and passkeys.

  6. Keep onboarding brief. Three screens max. Let users skip. Teach through progressive disclosure and contextual hints.

  7. Use progressive disclosure. Show essentials first, let users drill into details. Don't overwhelm with every option on one screen.

  8. Respect user attention. Consolidate notifications, minimize interruptions, give users control over alerts. Never use notifications for marketing.

Reference Index

ReferenceTopicKey content
charting-data.mdCharting DataData visualization patterns, accessible charts, interactive elements
collaboration-and-sharing.mdCollaboration & SharingShare sheets, activity views, collaborative editing, SharePlay
drag-and-drop.mdDrag and DropDrag sources, drop targets, spring loading, multi-item drag, visual feedback
entering-data.mdEntering DataText fields, pickers, steppers, input validation, keyboard types, autofill
feedback.mdFeedbackAlerts, action sheets, haptic patterns, sound feedback, visual indicators
file-management.mdFile ManagementDocument browser, file providers, iCloud integration, document lifecycle
going-full-screen.mdGoing Full ScreenFull-screen transitions, immersive content, exiting full screen
launching.mdLaunchingLaunch screens, state restoration, cold vs warm launch
live-viewing-apps.mdLive Viewing AppsLive content display, real-time updates, Live Activities, Dynamic Island
loading.mdLoadingActivity indicators, progress views, skeleton screens, lazy loading, placeholders
managing-accounts.mdManaging AccountsSign in with Apple, passkeys, account creation, credential autofill, account deletion
managing-notifications.mdManaging NotificationsPermission requests, grouping, actionable notifications, provisional delivery
modality.mdModalitySheets, alerts, popovers, full-screen modals, when to use each
multitasking.mdMultitaskingiPad Split View, Slide Over, Stage Manager, responsive layout, size class transitions
offering-help.mdOffering HelpContextual tips, onboarding hints, help menus, support links
onboarding.mdOnboardingWelcome screens, feature highlights, progressive onboarding, skip options
playing-audio.mdPlaying AudioAudio sessions, background audio, Now Playing, audio routing, interruptions
playing-haptics.mdPlaying HapticsCore Haptics, UIFeedbackGenerator, haptic patterns, custom haptics
playing-video.mdPlaying VideoVideo player controls, picture-in-picture, AirPlay, full-screen video
printing.mdPrintingPrint dialogs, page setup, AirPrint integration
ratings-and-reviews.mdRatings & ReviewsSKStoreReviewController, timing, frequency limits, in-app feedback
searching.mdSearchingSearch bars, suggestions, scoped search, results display, recents
settings.mdSettingsIn-app vs Settings app, preference organization, toggles, defaults
undo-and-redo.mdUndo and RedoShake to undo, undo/redo stack, multi-level undo
workouts.mdWorkoutsWorkout sessions, live metrics, Always On display, summaries, HealthKit

Pattern Selection Guide

User GoalRecommended PatternAvoid
First app experienceBrief onboarding (max 3 screens) + progressive disclosureLong tutorials, mandatory sign-up
Waiting for contentSkeleton screens or progress indicatorsBlocking spinners with no context
Confirming destructive actionUndo supportExcessive "Are you sure?" dialogs
Collecting user inputInline validation, smart defaults, autofillModal forms for simple inputs
Requesting permissionsContextual, just-in-time with explanationRequesting all permissions at launch
Providing feedbackHaptics + visual indicatorSilent actions with no confirmation
Organizing preferencesIn-app settings for frequent itemsBurying all settings in system Settings app

Output Format

  1. Recommended pattern with rationale, citing the relevant reference file.
  2. Step-by-step implementation covering each screen or state.
  3. Platform variations for targeted platforms.
  4. Common pitfalls that violate HIG for this pattern.

Questions to Ask

  1. Where in the app does this pattern appear? What comes before and after?
  2. Which platforms?
  3. Designing from scratch or improving an existing flow?
  4. Does this involve sensitive actions? (Destructive operations, payments, permissions)

Related Skills

  • hig-foundations -- Accessibility, color, typography, and privacy principles underlying every pattern
  • hig-platforms -- Platform-specific pattern implementations
  • hig-components-layout -- Structural components (tab bars, sidebars, split views) for navigation patterns
  • hig-components-content -- Content display within patterns (charts, collections, search results)

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 Patterns AI skill do?

Apple Human Interface Guidelines interaction and UX patterns. Use this skill when the user asks about "onboarding flow", "user onboarding", "app launch", "loading state", "drag and drop", "search pattern", "settings design", "notifications", "modality", "multitasking", "feedback pattern", "haptics", "undo redo", "file management", data entry, sharing, collaboration, full screen, audio, video, haptic feedback, ratings, printing, help, or account management in Apple apps. Also use when the user says "how should onboarding work", "my app takes too long to load", "should I use a modal here", "h...

Why use Hig Patterns on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/raintree-technology/hig-doctor/tree/main/skills/hig-patterns. 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 Patterns?

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 Patterns?

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

Is the Hig Patterns 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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