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Flutter Internationalization

Community
MADTeacher
flutter-internationalization

Add, fix, audit, and maintain Flutter internationalization with gen-l10n, ARB files, AppLocalizations, flutter_localizations, intl formatting, plural/select messages, RTL support, locale-specific number/date formatting, and localization build errors. Use when asked to add l10n or i18n, translate Flutter UI text, configure l10n.yaml, manage ARB translations, migrate away from package:flutter_gen imports, or troubleshoot generated localization code.

Overview

PublisherMADTeacher
Repositorymad-agents-skills
Skill nameflutter-internationalization
Stars
109
Forks
20
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Flutter Internationalization 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/MADTeacher/mad-agents-skills.git /tmp/mad-agents-skills
mkdir -p .claude/skills
cp -r /tmp/mad-agents-skills/flutter-internationalization .claude/skills/flutter-internationalization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter Internationalization 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 Flutter Internationalization 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 Flutter Internationalization 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.

Flutter Internationalization

You are a Flutter localization implementer. Make localized apps build, generate, and read naturally across target locales.

Principle 0

Generated localization code must match the current Flutter project and SDK. Do not copy stale package:flutter_gen imports or enable synthetic-package; use source-generated AppLocalizations imports unless the project proves it is on an older pinned Flutter workflow.

Decision Guide

  • Use gen-l10n for new work, most migrations, ARB management, plural/select messages, generated AppLocalizations, and Material/Cupertino apps.
  • Use legacy intl_translation only when the project already uses Intl.message() plus generated messages_all.dart, or the user explicitly asks to keep that workflow. Confirm intl_translation is a dependency before running its generators.
  • Use custom map-based localizations only for tiny prototypes or existing code that intentionally avoids code generation. Name this limitation in the final response.
  • If the project has an existing localization setup, follow its paths, class names, locale list, and generation style before introducing defaults.

Workflow

  1. Inspect pubspec.yaml, l10n.yaml, existing *.arb files, generated imports, MaterialApp/CupertinoApp setup, and current translation usage.
  2. Identify the requested change: bootstrap l10n, add a locale, replace hardcoded UI text, add placeholders/plurals/selects, format values, fix generation, or migrate stale imports/config.
  3. Use the decision guide to choose gen-l10n, legacy intl_translation, or a custom fallback. Prefer the smallest change that fits the existing project.
  4. Read only the routed references needed for the task.
  5. Make the localization change:
    • add flutter_localizations and intl:any when missing;
    • set flutter: generate: true;
    • create or update l10n.yaml;
    • create or update ARB files with descriptions and placeholder metadata;
    • wire AppLocalizations into MaterialApp or CupertinoApp;
    • replace hardcoded UI strings with generated getters or methods.
  6. Generate and validate with flutter gen-l10n. Then run the narrowest relevant project check, usually flutter analyze or affected tests.
  7. Report changed files, generated behavior, validation run, and any locales or translation gaps that remain.

Resource Routing

TaskRead or useWhy
Configure or debug l10n.yaml, generated output paths, nullable getters, deferred loading, or untranslated trackingreferences/l10n-config.mdCurrent gen-l10n options and safe defaults
Create or repair ARB messages, placeholders, plurals, selects, escaping, or metadatareferences/arb-format.mdARB schema patterns and translator context rules
Add number, currency, percent, or date/time formattingreferences/number-date-formats.mdSupported NumberFormat and DateFormat values
Bootstrap a new gen-l10n setup or run a smoke fixtureassets/l10n.yaml, assets/app_en.arbReusable minimal templates

gen-l10n Contract

For new gen-l10n setup, the minimum current configuration is:

yaml
flutter:
  generate: true
yaml
arb-dir: lib/l10n
template-arb-file: app_en.arb
output-localization-file: app_localizations.dart

Use source imports that match the generated location, commonly:

dart
import 'l10n/app_localizations.dart';

Prefer generated lists when possible:

dart
localizationsDelegates: AppLocalizations.localizationsDelegates,
supportedLocales: AppLocalizations.supportedLocales,

If generated files are written to a custom output-dir, update imports to that directory. Do not import package:flutter_gen/gen_l10n/app_localizations.dart unless the local project is intentionally pinned to an older Flutter workflow.

Legacy Intl Fallback

When preserving Intl.message():

  • require intl_translation in dev dependencies before extraction/generation;
  • keep generated files and imports consistent with the existing project;
  • run extraction before generation;
  • on Windows or shells without wildcard expansion, list ARB files explicitly.

Typical commands:

bash
dart run intl_translation:extract_to_arb --output-dir=lib/l10n lib/main.dart
dart run intl_translation:generate_from_arb --output-dir=lib/l10n --no-use-deferred-loading lib/main.dart lib/l10n/intl_*.arb

If this workflow is not already present, explain why gen-l10n is the safer default.

Constraints

  • Do not invent translations. If target-language text is not supplied, add clear placeholder translations only when the user approved that, or report the missing translations.
  • Do not concatenate localized strings. Use placeholders, plural, or select messages.
  • Do not manually format numbers, currency, percentages, dates, or times when gen-l10n placeholder formatting can do it.
  • Do not add synthetic-package: true; current Flutter marks synthetic package generation as deprecated and unavailable.
  • Set nullable-getter: false only when the project accepts non-null generated getter behavior. Otherwise keep the project default and use the required null handling in code.
  • Keep translator-facing descriptions and examples in the template ARB file.
  • For RTL locales, check text direction, layout assumptions, mirrored icons, and locale-specific widgets.

Validation

Always validate a completed localization change:

  • flutter gen-l10n succeeds with the project's l10n.yaml;
  • generated import paths compile;
  • every new ARB key exists in the template file and needed locale files;
  • placeholders in translated ARB values match template metadata;
  • plural/select messages include other;
  • number/date placeholders use supported formats from references/number-date-formats.md;
  • relevant flutter analyze or tests pass, or blockers are reported.

For skill maintenance, also check YAML frontmatter, local markdown links, JSON validity for ARB assets, YAML validity for l10n.yaml, resource routing, and layer coherence between SKILL.md, references, and assets.

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 Flutter Internationalization AI skill do?

Add, fix, audit, and maintain Flutter internationalization with gen-l10n, ARB files, AppLocalizations, flutter_localizations, intl formatting, plural/select messages, RTL support, locale-specific number/date formatting, and localization build errors. Use when asked to add l10n or i18n, translate Flutter UI text, configure l10n.yaml, manage ARB translations, migrate away from package:flutter_gen imports, or troubleshoot generated localization code.

Why use Flutter Internationalization on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MADTeacher/mad-agents-skills/tree/main/flutter-internationalization. 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 Flutter Internationalization?

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 Flutter Internationalization?

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

Is the Flutter Internationalization AI skill free?

Yes. It is published on GitHub by MADTeacher 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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