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Haptics

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johnrogers
haptics

Use when adding haptic feedback for user confirmations (button presses, toggles, purchases), error notifications, or custom tactile patterns (Core Haptics). Covers UIFeedbackGenerator and CHHapticEngine patterns.

Overview

Publisherjohnrogers
Repositoryclaude-swift-engineering
Skill namehaptics
Stars
232
Forks
21
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Haptics 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/johnrogers/claude-swift-engineering/tree/main/plugins/swift-engineering/skills/haptics
  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/johnrogers/claude-swift-engineering.git /tmp/claude-swift-engineering
mkdir -p .claude/skills
cp -r /tmp/claude-swift-engineering/plugins/swift-engineering/skills/haptics .claude/skills/haptics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Haptics 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 Haptics 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 Haptics 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.

Haptics

Haptic feedback provides tactile confirmation of user actions and system events. When designed thoughtfully, haptics transform interfaces from functional to delightful.

Overview

Haptics should enhance interactions, not dominate them. The core principle: haptic feedback is like sound design—every haptic should have purpose (confirmation, error, warning), timing (immediate or delayed), and restraint (less is more).

Reference Loading Guide

ALWAYS load reference files if there is even a small chance the content may be required. It's better to have the context than to miss a pattern or make a mistake.

ReferenceLoad When
UIFeedbackGeneratorUsing simple impact/selection/notification haptics
Core HapticsCreating custom patterns with CHHapticEngine
AHAP PatternsWorking with Apple Haptic Audio Pattern files
Design PrinciplesApplying Causality, Harmony, Utility framework

Core Workflow

  1. Choose complexity level: Simple (UIFeedbackGenerator) vs Custom (Core Haptics)
  2. For simple haptics: Use UIImpactFeedbackGenerator, UISelectionFeedbackGenerator, or UINotificationFeedbackGenerator
  3. For custom patterns: Create CHHapticEngine, define CHHapticEvents, build CHHapticPattern
  4. Prepare before triggering: Call prepare() to reduce latency
  5. Apply design principles: Ensure Causality (timing), Harmony (multimodal), Utility (meaningful)

System Requirements

  • iOS 10+ for UIFeedbackGenerator
  • iOS 13+ for Core Haptics (CHHapticEngine)
  • iPhone 8+ for Core Haptics hardware support
  • Physical device required - haptics cannot be tested in Simulator

Common Mistakes

  1. Haptic feedback on every action — Every button doesn't need haptics. Reserve haptics for critical confirmations (purchase, delete, settings change). Over-haptics are annoying and drain battery.

  2. Triggering haptics on main thread blocks — Long haptic patterns can freeze UI briefly. Use background threads or async for Core Haptics prepare() calls to prevent jank.

  3. Haptic without audio/visual feedback — Relying ONLY on haptics means deaf or deaf-blind users miss feedback. Always pair haptics with sound or visual response.

  4. Ignoring haptic settings — Some users disable haptics system-wide. Check UIFeedbackGenerator.isHapticFeedbackEnabled before triggering. Graceful degradation is required.

  5. AHAP file errors silently — Invalid AHAP files fail silently without errors. Test with Xcode's haptic designer and validate file syntax before shipping.

  6. Forgetting battery impact — Continuous haptic patterns (progress bars, loading states) drain battery fast. Use haptics for state changes only, not ongoing feedback.

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 Haptics AI skill do?

Use when adding haptic feedback for user confirmations (button presses, toggles, purchases), error notifications, or custom tactile patterns (Core Haptics). Covers UIFeedbackGenerator and CHHapticEngine patterns.

Why use Haptics on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/johnrogers/claude-swift-engineering/tree/main/plugins/swift-engineering/skills/haptics. 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 Haptics?

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 Haptics?

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

Is the Haptics AI skill free?

Yes. It is published on GitHub by johnrogers 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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