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Build Macos Apps

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glittercowboy
build-macos-apps

Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.

Overview

Publisherglittercowboy
Repositorytaches-cc-resources
Skill namebuild-macos-apps
Stars
2K
Forks
411
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 glittercowboy on GitHub. Read the source before you install it.

Installation

Install the Build Macos Apps 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/glittercowboy/taches-cc-resources.git /tmp/taches-cc-resources
mkdir -p .claude/skills
cp -r /tmp/taches-cc-resources/skills/expertise/macos-apps .claude/skills/build-macos-apps
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Build Macos Apps 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 Build Macos Apps 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 Build Macos Apps 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.

<essential_principles>

How We Work

The user is the product owner. Claude is the developer.

The user does not write code. The user does not read code. The user describes what they want and judges whether the result is acceptable. Claude implements, verifies, and reports outcomes.

1. Prove, Don't Promise

Never say "this should work." Prove it:

bash
xcodebuild build 2>&1 | xcsift  # Build passes
xcodebuild test                  # Tests pass
open .../App.app                 # App launches

If you didn't run it, you don't know it works.

2. Tests for Correctness, Eyes for Quality

QuestionHow to Answer
Does the logic work?Write test, see it pass
Does it look right?Launch app, user looks at it
Does it feel right?User uses it
Does it crash?Test + launch
Is it fast enough?Profiler

Tests verify correctness. The user verifies desirability.

3. Report Outcomes, Not Code

Bad: "I refactored DataService to use async/await with weak self capture" Good: "Fixed the memory leak. leaks now shows 0 leaks. App tested stable for 5 minutes."

The user doesn't care what you changed. The user cares what's different.

4. Small Steps, Always Verified

Change → Verify → Report → Next change

Never batch up work. Never say "I made several changes." Each change is verified before the next. If something breaks, you know exactly what caused it.

5. Ask Before, Not After

Unclear requirement? Ask now. Multiple valid approaches? Ask which. Scope creep? Ask if wanted. Big refactor needed? Ask permission.

Wrong: Build for 30 minutes, then "is this what you wanted?" Right: "Before I start, does X mean Y or Z?"

6. Always Leave It Working

Every stopping point = working state. Tests pass, app launches, changes committed. The user can walk away anytime and come back to something that works. </essential_principles>

What would you like to do?

  1. Build a new app
  2. Debug an existing app
  3. Add a feature
  4. Write/run tests
  5. Optimize performance
  6. Ship/release
  7. Something else

Then read the matching workflow from workflows/ and follow it.

<verification_loop>

After Every Change

bash
# 1. Does it build?
xcodebuild -scheme AppName build 2>&1 | xcsift

# 2. Do tests pass?
xcodebuild -scheme AppName test

# 3. Does it launch? (if UI changed)
open ./build/Build/Products/Debug/AppName.app

Report to the user:

  • "Build: ✓"
  • "Tests: 12 pass, 0 fail"
  • "App launches, ready for you to check [specific thing]" </verification_loop>

<when_to_test>

Testing Decision

Write a test when:

  • Logic that must be correct (calculations, transformations, rules)
  • State changes (add, delete, update operations)
  • Edge cases that could break (nil, empty, boundaries)
  • Bug fix (test reproduces bug, then proves it's fixed)
  • Refactoring (tests prove behavior unchanged)

Skip tests when:

  • Pure UI exploration ("make it blue and see if I like it")
  • Rapid prototyping ("just get something on screen")
  • Subjective quality ("does this feel right?")
  • One-off verification (launch and check manually)

The principle: Tests let the user verify correctness without reading code. If the user needs to verify it works, and it's not purely visual, write a test. </when_to_test>

<reference_index>

Domain Knowledge

All in references/:

Architecture: app-architecture, swiftui-patterns, appkit-integration, concurrency-patterns Data: data-persistence, networking App Types: document-apps, shoebox-apps, menu-bar-apps System: system-apis, app-extensions Development: project-scaffolding, cli-workflow, cli-observability, testing-tdd, testing-debugging Polish: design-system, macos-polish, security-code-signing </reference_index>

<workflows_index>

Workflows

All in workflows/:

FilePurpose
build-new-app.mdCreate new app from scratch
debug-app.mdFind and fix bugs
add-feature.mdAdd to existing app
write-tests.mdWrite and run tests
optimize-performance.mdProfile and speed up
ship-app.mdSign, notarize, distribute
</workflows_index>

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 Build Macos Apps AI skill do?

Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.

Why use Build Macos Apps on TypingMind?

Because you install it once and use it with any model. Build Macos Apps 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 Build Macos Apps in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glittercowboy/taches-cc-resources/tree/main/skills/expertise/macos-apps. 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 Build Macos Apps?

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 Build Macos Apps?

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

Is the Build Macos Apps AI skill free?

Yes. It is published on GitHub by glittercowboy 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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