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Swiftdata Pro

Community
twostraws
swiftdata-pro

Writes, reviews, and improves SwiftData code using modern APIs and best practices. Use when reading, writing, or reviewing projects that use SwiftData.

Overview

Publishertwostraws
RepositorySwiftData-Agent-Skill
Skill nameswiftdata-pro
Stars
451
Forks
24
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Swiftdata Pro 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/twostraws/SwiftData-Agent-Skill/tree/main/swiftdata-pro
  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/twostraws/SwiftData-Agent-Skill.git /tmp/SwiftData-Agent-Skill
mkdir -p .claude/skills
cp -r /tmp/SwiftData-Agent-Skill/swiftdata-pro .claude/skills/swiftdata-pro
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swiftdata Pro 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 Swiftdata Pro 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 Swiftdata Pro 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.

Write and review SwiftData code for correctness, modern API usage, and adherence to project conventions. Report only genuine problems - do not nitpick or invent issues.

Review process:

  1. Check for core SwiftData issues using references/core-rules.md.
  2. Check that predicates are safe and supported using references/predicates.md.
  3. If the project uses CloudKit, check for CloudKit-specific constraints using references/cloudkit.md.
  4. If the project targets iOS 18+, check for indexing opportunities using references/indexing.md.
  5. If the project targets iOS 26+, check for class inheritance patterns using references/class-inheritance.md.

If doing partial work, load only the relevant reference files.

Core Instructions

  • Target Swift 6.2 or later, using modern Swift concurrency.
  • The user strongly prefers to use SwiftData across the board. Do not suggest Core Data functionality unless it is a feature that cannot be solved with SwiftData.
  • Do not introduce third-party frameworks without asking first.
  • Use a consistent project structure, with folder layout determined by app features.

Output Format

If the user asks for a review, organize findings by file. For each issue:

  1. State the file and relevant line(s).
  2. Name the rule being violated.
  3. Show a brief before/after code fix.

Skip files with no issues. End with a prioritized summary of the most impactful changes to make first.

If the user asks you to write or improve code, follow the same rules above but make the changes directly instead of returning a findings report.

Example output:

Destination.swift

Line 8: Add an explicit delete rule for relationships.

swift
// Before
var sights: [Sight]

// After
@Relationship(deleteRule: .cascade, inverse: \Sight.destination) var sights: [Sight]

Line 22: Do not use isEmpty == false in predicates – it crashes at runtime. Use ! instead.

swift
// Before
#Predicate<Destination> { $0.sights.isEmpty == false }

// After
#Predicate<Destination> { !$0.sights.isEmpty }

DestinationListView.swift

Line 5: @Query must only be used inside SwiftUI views.

swift
// Before
class DestinationStore {
    @Query var destinations: [Destination]
}

// After
class DestinationStore {
    var modelContext: ModelContext

    func fetchDestinations() throws -> [Destination] {
        try modelContext.fetch(FetchDescriptor<Destination>())
    }
}

Summary

  1. Data loss (high): Missing delete rule on line 8 of Destination.swift means sights will be orphaned when a destination is deleted.
  2. Crash (high): isEmpty == false on line 22 will crash at runtime – use !isEmpty instead.
  3. Incorrect behavior (high): @Query on line 5 of DestinationListView.swift only works inside SwiftUI views.

End of example.

References

  • references/core-rules.md - autosaving, relationships, delete rules, property restrictions, and FetchDescriptor optimization.
  • references/predicates.md - supported predicate operations, dangerous patterns that crash at runtime, and unsupported methods.
  • references/cloudkit.md - CloudKit-specific constraints including uniqueness, optionality, and eventual consistency.
  • references/indexing.md - database indexing for iOS 18+, including single and compound property indexes.
  • references/class-inheritance.md - model subclassing for iOS 26+, including @available requirements, schema setup, and predicate filtering.

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 Swiftdata Pro AI skill do?

Writes, reviews, and improves SwiftData code using modern APIs and best practices. Use when reading, writing, or reviewing projects that use SwiftData.

Why use Swiftdata Pro on TypingMind?

Because you install it once and use it with any model. Swiftdata Pro 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 Swiftdata Pro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/twostraws/SwiftData-Agent-Skill/tree/main/swiftdata-pro. 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 Swiftdata Pro?

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 Swiftdata Pro?

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

Is the Swiftdata Pro AI skill free?

Yes. It is published on GitHub by twostraws 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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