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Macos Menubar Tuist App

CommunityPopular
Dimillian
macos-menubar-tuist-app

Build, refactor, or review macOS menubar apps that use Tuist and SwiftUI. Use when creating or maintaining LSUIElement menubar utilities, defining Tuist targets/manifests, implementing model-client-store-view architecture, adding script-based launch flows, or validating reliable local build/run behavior without Xcode-first workflows.

Overview

PublisherDimillian
RepositorySkills
Skill namemacos-menubar-tuist-app
Stars
4K
Forks
206
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 Dimillian on GitHub. Read the source before you install it.

Installation

Install the Macos Menubar Tuist App 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.
  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/Dimillian/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/macos-menubar-tuist-app .claude/skills/macos-menubar-tuist-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Macos Menubar Tuist App 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 Macos Menubar Tuist App 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 Macos Menubar Tuist App 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.

macos-menubar-tuist-app

Build and maintain macOS menubar apps with a Tuist-first workflow and stable launch scripts. Preserve strict architecture boundaries so networking, state, and UI remain testable and predictable.

Core Rules

  • Keep the app menubar-only unless explicitly told otherwise. Use LSUIElement = true by default.
  • Keep transport and decoding logic outside views. Do not call networking from SwiftUI view bodies.
  • Keep state transitions in a store layer (@Observable or equivalent), not in row/view presentation code.
  • Keep model decoding resilient to API drift: optional fields, safe fallbacks, and defensive parsing.
  • Treat Tuist manifests as the source of truth. Do not rely on hand-edited generated Xcode artifacts.
  • Prefer script-based launch for local iteration when tuist run is unreliable for macOS target/device resolution.
  • Prefer tuist xcodebuild build over raw xcodebuild in local run scripts when building generated projects.

Expected File Shape

Use this placement by default:

  • Project.swift: app target, settings, resources, Info.plist keys
  • Sources/*Model*.swift: API/domain models and decoding
  • Sources/*Client*.swift: requests, response mapping, transport concerns
  • Sources/*Store*.swift: observable state, refresh policy, filtering, caching
  • Sources/*Menu*View*.swift: menu composition and top-level UI state
  • Sources/*Row*View*.swift: row rendering and lightweight interactions
  • run-menubar.sh: canonical local restart/build/launch path
  • stop-menubar.sh: explicit stop helper when needed

Workflow

  1. Confirm Tuist ownership
  • Verify Tuist.swift and Project.swift (or workspace manifests) exist.
  • Read existing run scripts before changing launch behavior.
  1. Probe backend behavior before coding assumptions
  • Use curl to verify endpoint shape, auth requirements, and pagination behavior.
  • If endpoint ignores limit/page, implement full-list handling with local trimming in the store.
  1. Implement layers from bottom to top
  • Define/adjust models first.
  • Add or update client request/decoding logic.
  • Update store refresh, filtering, and cache policy.
  • Wire views last.
  1. Keep app wiring minimal
  • Keep app entry focused on scene/menu wiring and dependency injection.
  • Avoid embedding business logic in App or menu scene declarations.
  1. Standardize launch ergonomics
  • Ensure run script restarts an existing instance before relaunching.
  • Ensure run script does not open Xcode as a side effect.
  • Use tuist generate --no-open when generation is required.
  • When the run script builds the generated project, prefer TUIST_SKIP_UPDATE_CHECK=1 tuist xcodebuild build ... instead of invoking raw xcodebuild directly.

Validation Matrix

Run validations after edits:

bash
TUIST_SKIP_UPDATE_CHECK=1 tuist xcodebuild build -scheme <TargetName> -configuration Debug

If launch workflow changed:

bash
./run-menubar.sh

If shell scripts changed:

bash
bash -n run-menubar.sh
bash -n stop-menubar.sh
./run-menubar.sh

Failure Patterns and Fix Direction

  • tuist run cannot resolve the macOS destination: Use run/stop scripts as canonical local run path.

  • Menu UI is laggy or inconsistent after refresh: Move derived state and filtering into the store; keep views render-only.

  • API payload changes break decode: Relax model decoding with optional fields and defaults, then surface missing data safely in UI.

  • Feature asks for quick UI patch: Trace root cause in model/client/store before changing row/menu presentation.

Completion Checklist

  • Preserve menubar-only behavior unless explicitly changed.
  • Keep network and state logic out of SwiftUI view bodies.
  • Keep Tuist manifests and run scripts aligned with actual build/run flow.
  • Run the validation matrix for touched areas.
  • Report concrete commands run and outcomes.

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 Macos Menubar Tuist App AI skill do?

Build, refactor, or review macOS menubar apps that use Tuist and SwiftUI. Use when creating or maintaining LSUIElement menubar utilities, defining Tuist targets/manifests, implementing model-client-store-view architecture, adding script-based launch flows, or validating reliable local build/run behavior without Xcode-first workflows.

Why use Macos Menubar Tuist App on TypingMind?

Because you install it once and use it with any model. Macos Menubar Tuist App 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 Macos Menubar Tuist App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dimillian/Skills/tree/main/macos-menubar-tuist-app. 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 Macos Menubar Tuist App?

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 Macos Menubar Tuist App?

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

Is the Macos Menubar Tuist App AI skill free?

Yes. It is published on GitHub by Dimillian 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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