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Swiftdata

Checked
dpearson2699·vlatest·frontend

Swiftdata generates clean, semantic HTML from JSON data, streamlining frontend development and improving data presentation efficiency.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dpearson2699/swift-ios-skills --skill swiftdata -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dpearson2699

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dpearson2699/swift-ios-skills at 8d90fd121a.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
7 files, 2,330 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with and manipulate data using Swift Data, Apple's framework for managing persistent data. It allows agents to define models, relationships, and perform CRUD (Create, Read, Update, Delete) operations on local databases within iOS applications. The agent can also leverage the automatic data synchronization capabilities of Swift Data when connected to a backend server.

When to use it

  • iOS App Development: Automate repetitive tasks like creating database schemas or populating initial datasets for new iOS apps.
  • Data Migration: Assist in migrating existing data structures to Swift Data format, reducing manual effort and potential errors.
  • Testing & Debugging: Generate test data or simulate user interactions with a Swift Data-powered application for testing purposes.
  • Code Generation: Quickly generate boilerplate code for common data operations based on defined models.

Key capabilities

  • Model Definition: Define data models with properties and relationships.
  • CRUD Operations: Perform Create, Read, Update, and Delete actions on data stored in Swift Data containers.
  • Data Synchronization: Manage data synchronization between local storage and remote servers (if configured).
  • Automatic Data Persistence: Leverage the automatic persistence features of Swift Data.

Example prompts

  • "Create a Swift Data model for 'Product' with properties 'name', 'price', and 'description'."
  • "Generate code to fetch all products from the local database."
  • "Update the price of product with ID '123' to $29.99 using Swift Data."

Tips & gotchas

  • Requires a basic understanding of Swift programming and iOS development concepts.
  • Swift Data is relatively new, so ensure your Xcode environment is up-to-date for optimal compatibility.