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Ios 26 Platform

Community
johnrogers
ios-26-platform

Use when implementing iOS 26 features (Liquid Glass, new SwiftUI APIs, WebView, Chart3D), deploying iOS 26+ apps, or supporting backward compatibility with iOS 17/18.

Overview

Publisherjohnrogers
Repositoryclaude-swift-engineering
Skill nameios-26-platform
Stars
232
Forks
21
Bundled files
5
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.

  • 5 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 Ios 26 Platform 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/ios-26-platform
  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/ios-26-platform .claude/skills/ios-26-platform
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ios 26 Platform 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 Ios 26 Platform 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 Ios 26 Platform 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.

iOS 26 Platform

iOS 26 introduces Liquid Glass, Apple's next-generation material design system that dynamically bends light, moves organically, and adapts automatically across all platforms.

Overview

iOS 26 modernizes UI with new materials (Liquid Glass), SwiftUI APIs (WebView, Chart3D, @Animatable), and advanced features (@BackoffAnimation, free-form windows). The core principle: modern UI gets updated automatically at compile time; most Liquid Glass benefits are "free" from recompiling with Xcode 26.

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
Liquid GlassImplementing glass effects, choosing Regular vs Clear variants, or understanding visual properties
Automatic AdoptionUnderstanding what iOS 26 changes automatically vs what requires code
SwiftUI APIsUsing WebView, Chart3D, @Animatable, AttributedString, or new view modifiers
Toolbar & NavigationCustomizing toolbars with spacers, morphing, glass button styles, or search
Backward CompatibilitySupporting iOS 17/18 alongside iOS 26, or using UIDesignRequiresCompatibility

Core Workflow

  1. Check deployment target — iOS 26+ required for Liquid Glass
  2. Recompile with Xcode 26 — Standard controls get glass automatically
  3. Identify navigation layer — Apply glass to tab bars, toolbars, navigation (not content)
  4. Choose variant — Regular (95% of cases) or Clear (media-rich backgrounds only)
  5. Add @available guards — For backward compatibility with iOS 17/18
  6. Test accessibility — Verify Reduce Transparency, Increase Contrast, Reduce Motion

Common Mistakes

  1. Ignoring backward compatibility — Targeting iOS 26+ without @available guards breaks iOS 17/18 support. Always use if #available(iOS 26, *) for Liquid Glass or new APIs.

  2. Over-using glass effect — Applying glass to content areas, not just navigation, creates visual noise. Glass works for: tab bars, toolbars, sheets, navigation. NOT for content areas.

  3. Animation performance issues — Liquid Glass animations can be expensive. Respect Reduce Motion accessibility setting and profile with Instruments 26 before shipping.

  4. Assuming Clear variant looks good — Clear is for media-rich backgrounds only (photos, video). Regular variant is correct 95% of the time. Only use Clear if you explicitly need the ultra-transparency.

  5. Not testing on actual devices — Simulator rendering differs from hardware. Test glass effects on iPhone 15 Pro, iPad, and Mac to verify visual quality.

  6. Using old UIView patterns with new glass — Mixing UIView-based navigation with iOS 26 glass creates inconsistent appearances. Migrate fully to SwiftUI or wrap carefully with UIViewRepresentable.

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 Ios 26 Platform AI skill do?

Use when implementing iOS 26 features (Liquid Glass, new SwiftUI APIs, WebView, Chart3D), deploying iOS 26+ apps, or supporting backward compatibility with iOS 17/18.

Why use Ios 26 Platform on TypingMind?

Because you install it once and use it with any model. Ios 26 Platform 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 Ios 26 Platform 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/ios-26-platform. 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 Ios 26 Platform?

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 Ios 26 Platform?

As many as you like. As long as a model supports skills, you can use Ios 26 Platform with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ios 26 Platform 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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