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Macos Spm App Packaging

CommunityPopular
Dimillian
macos-spm-app-packaging

Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project. Use when you need a from-scratch macOS app layout, SwiftPM targets/resources, a custom .app bundle assembly script, or signing/notarization/appcast steps outside Xcode.

Overview

PublisherDimillian
RepositorySkills
Skill namemacos-spm-app-packaging
Stars
4K
Forks
206
Bundled files
15
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.

  • 15 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 Spm App Packaging 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-spm-app-packaging .claude/skills/macos-spm-app-packaging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Macos Spm App Packaging 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 Spm App Packaging 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 Spm App Packaging 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 SwiftPM App Packaging (No Xcode)

Overview

Bootstrap a complete SwiftPM macOS app folder, then build, package, and run it without Xcode. Use assets/templates/bootstrap/ for the starter layout and references/packaging.md + references/release.md for packaging and release details.

Two-Step Workflow

  1. Bootstrap the project folder

    • Copy assets/templates/bootstrap/ into a new repo.
    • Rename MyApp in Package.swift, Sources/MyApp/, and version.env.
    • Customize APP_NAME, BUNDLE_ID, and versions.
  2. Build, package, and run the bootstrapped app

    • Copy scripts from assets/templates/ into your repo (for example, Scripts/).
    • Build/tests: swift build and swift test.
    • Package: Scripts/package_app.sh.
    • Run: Scripts/compile_and_run.sh (preferred) or Scripts/launch.sh.
    • Release (optional): Scripts/sign-and-notarize.sh and Scripts/make_appcast.sh.
    • Tag + GitHub release (optional): create a git tag, upload the zip/appcast to the GitHub release, and publish.

Minimum End-to-End Example

Shortest path from bootstrap to a running app:

bash
# 1. Copy and rename the skeleton
cp -R assets/templates/bootstrap/ ~/Projects/MyApp
cd ~/Projects/MyApp
sed -i '' 's/MyApp/HelloApp/g' Package.swift version.env

# 2. Copy scripts
cp assets/templates/package_app.sh Scripts/
cp assets/templates/compile_and_run.sh Scripts/
chmod +x Scripts/*.sh

# 3. Build and launch
swift build
Scripts/compile_and_run.sh

Validation Checkpoints

Run these after key steps to catch failures early before proceeding to the next stage.

After packaging (Scripts/package_app.sh):

bash
# Confirm .app bundle structure is intact
ls -R build/HelloApp.app/Contents

# Check that the binary is present and executable
file build/HelloApp.app/Contents/MacOS/HelloApp

After signing (Scripts/sign-and-notarize.sh or ad-hoc dev signing):

bash
# Inspect signature and entitlements
codesign -dv --verbose=4 build/HelloApp.app

# Verify the bundle passes Gatekeeper checks locally
spctl --assess --type execute --verbose build/HelloApp.app

After notarization and stapling:

bash
# Confirm the staple ticket is attached
stapler validate build/HelloApp.app

# Re-run Gatekeeper to confirm notarization is recognised
spctl --assess --type execute --verbose build/HelloApp.app

Common Notarization Failures

SymptomLikely CauseRecovery
The software asset has already been uploadedDuplicate submission for same versionBump BUILD_NUMBER in version.env and repackage.
Package Invalid: Invalid Code Signing EntitlementsEntitlements in .entitlements file don't match provisioningAudit entitlements against Apple's allowed set; remove unsupported keys.
The executable does not have the hardened runtime enabledMissing --options runtime flag in codesign invocationEdit sign-and-notarize.sh to add --options runtime to all codesign calls.
Notarization hangs / no status emailxcrun notarytool network or credential issueRun xcrun notarytool history to check status; re-export App Store Connect API key if expired.
stapler validate fails after successful notarizationTicket not yet propagatedWait ~60 s, then re-run xcrun stapler staple.

Templates

  • assets/templates/package_app.sh: Build binaries, create the .app bundle, copy resources, sign.
  • assets/templates/compile_and_run.sh: Dev loop to kill running app, package, launch.
  • assets/templates/build_icon.sh: Generate .icns from an Icon Composer file (requires Xcode install).
  • assets/templates/sign-and-notarize.sh: Notarize, staple, and zip a release build.
  • assets/templates/make_appcast.sh: Generate Sparkle appcast entries for updates.
  • assets/templates/setup_dev_signing.sh: Create a stable dev code-signing identity.
  • assets/templates/launch.sh: Simple launcher for a packaged .app.
  • assets/templates/version.env: Example version file consumed by packaging scripts.
  • assets/templates/bootstrap/: Minimal SwiftPM macOS app skeleton (Package.swift, Sources/, version.env).

Notes

  • Keep entitlements and signing configuration explicit; edit the template scripts instead of reimplementing.
  • Remove Sparkle steps if you do not use Sparkle for updates.
  • Sparkle relies on the bundle build number (CFBundleVersion), so BUILD_NUMBER in version.env must increase for each update.
  • For menu bar apps, set MENU_BAR_APP=1 when packaging to emit LSUIElement in Info.plist.

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 Spm App Packaging AI skill do?

Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project. Use when you need a from-scratch macOS app layout, SwiftPM targets/resources, a custom .app bundle assembly script, or signing/notarization/appcast steps outside Xcode.

Why use Macos Spm App Packaging on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dimillian/Skills/tree/main/macos-spm-app-packaging. 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 Spm App Packaging?

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 Spm App Packaging?

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

Is the Macos Spm App Packaging 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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