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Localization

Community
johnrogers
localization

Use when implementing internationalization (i18n), String Catalogs, pluralization, or right-to-left layout support. Covers modern localization workflows with Xcode String Catalogs and LocalizedStringKey patterns.

Overview

Publisherjohnrogers
Repositoryclaude-swift-engineering
Skill namelocalization
Stars
232
Forks
21
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Localization 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/johnrogers/claude-swift-engineering/tree/main/plugins/swift-engineering/skills/localization
  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/johnrogers/claude-swift-engineering.git /tmp/claude-swift-engineering
mkdir -p .claude/skills
cp -r /tmp/claude-swift-engineering/plugins/swift-engineering/skills/localization .claude/skills/localization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Localization 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 Localization 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 Localization 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.

Localization

Modern iOS localization using String Catalogs (.xcstrings) for managing translations, plural forms, and locale-aware content. Supports SwiftUI's LocalizedStringKey and String(localized:) APIs.

Reference Loading Guide

ALWAYS load reference files if there is even a small chance the content may be required. It's better to have the context than to miss a pattern or make a mistake.

ReferenceLoad When
String CatalogsSetting up or using Xcode 15+ String Catalogs
PluralizationHandling plural forms, stringsdict migration
FormattingDate, number, currency locale-aware formatting
RTL SupportRight-to-left layouts, semantic directions

Core Workflow

  1. Create String Catalog in Xcode (File > New > String Catalog)
  2. Mark strings with String(localized:comment:) or use SwiftUI's automatic extraction
  3. Add plural variants in String Catalog editor where needed
  4. Test with pseudo-localization (Scheme > Run > Options > App Language)
  5. Export for translation (File > Export Localizations)

Key Patterns

swift
// SwiftUI - automatic localization
Text("Welcome")
Button("Continue") { }

// Explicit localization with context
let title = String(localized: "Settings", comment: "Navigation title")

// Deferred localization for custom views
struct CardView: View {
    let title: LocalizedStringResource
    var body: some View { Text(title) }
}

Build Settings

  • Use Compiler to Extract Swift Strings: Yes
  • Localization Prefers String Catalogs: Yes

Common Mistakes

  1. Forgetting String Catalog in Build Phases — Adding String Catalog but forgetting to check "Localize" in File Inspector means it's not embedded. Always verify in Build Phases > Copy Bundle Resources.

  2. Pseudo-localization not tested — Not running your app with pseudo-localization (German/Chinese pseudo-locale) means you miss text overflow and RTL issues. Always test with pseudo-localization before translation.

  3. Hardcoded strings anywhere — Even one hardcoded string outside the String Catalog breaks extraction and automation. Use String(localized:) everywhere or use LocalizedStringResource for deferred localization.

  4. Context loss in translations — Providing no comment for translators means they guess context and get it wrong. Add comments explaining where the string appears and what it means.

  5. RTL layouts not tested — Assuming LTR layout works for RTL languages (Arabic, Hebrew) fails miserably. Test with system language set to Arabic and verify semantic directions are used.

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 Localization AI skill do?

Use when implementing internationalization (i18n), String Catalogs, pluralization, or right-to-left layout support. Covers modern localization workflows with Xcode String Catalogs and LocalizedStringKey patterns.

Why use Localization on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/johnrogers/claude-swift-engineering/tree/main/plugins/swift-engineering/skills/localization. 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 Localization?

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 Localization?

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

Is the Localization AI skill free?

Yes. It is published on GitHub by johnrogers 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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