Liquid Glass Skill logo

Liquid Glass Skill

Community
podo
liquid-glass-skill

Deep knowledge of Apple's Liquid Glass design system (iOS 26+/macOS 26+): .glassEffect() modifier, .buttonStyle(.glass), GlassEffectContainer, platform-specific implementations, migration from existing apps, and common pitfalls with tested solutions.

Overview

Publisherpodo
Repositorydesign-agent-skills
Skill nameliquid-glass-skill
Stars
27
Forks
3
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Liquid Glass Skill 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/podo/design-agent-skills/tree/main/skills/liquid-glass-skill
  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/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/liquid-glass-skill .claude/skills/liquid-glass-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Liquid Glass Skill 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 Liquid Glass Skill 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 Liquid Glass Skill 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.

liquid-glass-skill

Catalogue stub — full skill: haider-nawaz/liquid-glass-skill

Decision tree

  1. Is the full skill already installed? Upstream names this skill liquid-glass, so it installs next to this pointer (the pointer is not replaced).

    • Global: f=~/.agents/skills/liquid-glass/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • Project: f=.agents/skills/liquid-glass/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • installed → the skill is installed as liquid-glass, invoke it and proceed
    • pointer → go to step 2
  2. Detect scope, then install:

    bash
    [ -e ~/.agents/skills/liquid-glass-skill ] && echo "global" || echo "project"

    Global:

    bash
    npx skills add haider-nawaz/liquid-glass-skill --skill liquid-glass -g -y

    Project:

    bash
    npx skills add haider-nawaz/liquid-glass-skill --skill liquid-glass -y

    Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Claude Code plugin route:

/plugin marketplace add haider-nawaz/liquid-glass-skill
/plugin install liquid-glass@liquid-glass-skills

Heads-up

  • License: no LICENSE file in the upstream repo

Invoke after install

  • Skill name: liquid-glass
  • Plugin route only: the /liquid-glass:liquid-glass command
  • Trigger phrases: "Liquid Glass", "iOS 26 design", "glassEffect", "GlassEffectContainer"

What it does

Provides comprehensive knowledge of Apple's Liquid Glass material system introduced in iOS 26 and macOS 26. Covers the SwiftUI .glassEffect() view modifier, .buttonStyle(.glass) for interactive elements, GlassEffectContainer for grouping glass surfaces, morphing transitions, glass toolbars and tab bars, platform-specific behavioral differences between iOS, macOS, tvOS, and visionOS, a step-by-step migration workflow for apps upgrading from pre-26 designs, and a catalogue of known pitfalls (performance, layering, contrast) with tested solutions. The skill ships API, migration, platform and pitfall reference files plus code patterns from Apple's Landmarks sample.

When NOT to use

  • Apps targeting iOS versions before iOS 26 — Liquid Glass APIs are unavailable
  • Android or cross-platform design — use mobile-app-design instead
  • General SwiftUI patterns beyond Liquid Glass — use swiftui-claude-skills or swiftui-patterns

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 Liquid Glass Skill AI skill do?

Deep knowledge of Apple's Liquid Glass design system (iOS 26+/macOS 26+): .glassEffect() modifier, .buttonStyle(.glass), GlassEffectContainer, platform-specific implementations, migration from existing apps, and common pitfalls with tested solutions.

Why use Liquid Glass Skill on TypingMind?

Because you install it once and use it with any model. Liquid Glass Skill 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 Liquid Glass Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/liquid-glass-skill. 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 Liquid Glass Skill?

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 Liquid Glass Skill?

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

Is the Liquid Glass Skill AI skill free?

Yes. It is published on GitHub by podo 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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