Frontend Internationalization Best Practices

Community

sergiodxa

frontend-internationalization-best-practices

Internationalization best practices for React Router framework mode using remix-i18next. Use when setting up locales, middleware, resource routes, or language switching.

Overview

Publisher	sergiodxa
Repository	`agent-skills`
Skill name	`frontend-internationalization-best-practices`
Stars	90
Forks	9
Bundled files	11
License	MIT
Links	Skill source Repository

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.
11 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sergiodxa on GitHub. Read the source before you install it.

Installation

Install the Frontend Internationalization Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/sergiodxa/agent-skills/tree/main/skills/frontend-internationalization-best-practices

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/sergiodxa/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/frontend-internationalization-best-practices .claude/skills/frontend-internationalization-best-practices

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Internationalization Best Practices 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 Frontend Internationalization Best Practices 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 Frontend Internationalization Best Practices 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.

Internationalization Best Practices

Guidelines for building a React Router i18n setup with remix-i18next. Focuses on middleware detection, locale storage, type safety, and client/server synchronization.

When to Apply

Adding i18n to a React Router app
Wiring remix-i18next middleware
Implementing language switching or locale detection
Serving locale resources from /api/locales

Rules Summary

Setup & Middleware (CRITICAL)

setup-middleware - @rules/setup-middleware.md

Configure createI18nextMiddleware and type-safe resources.

ts
export const [i18nextMiddleware, getLocale, getInstance] =
  createI18nextMiddleware({
    detection: {
      supportedLanguages: ["es", "en"],
      fallbackLanguage: "en",
      cookie: localeCookie,
    },
    i18next: { resources },
    plugins: [initReactI18next],
  });

locales-structure - @rules/locales-structure.md

Define locale resources per language and re-export.

ts
// app/locales/en/translation.ts
export default { title: "Example" };

Namespaces (HIGH)

namespaces-strategy - @rules/namespaces-strategy.md

Use a single namespace for small apps; multiple namespaces for large apps.

ts
// Large app: common + route namespaces
export default { common, home, notFound };

Locale Detection & Persistence (CRITICAL)

locale-detection - @rules/locale-detection.md

Prefer cookie/session for speed, with DB as source of truth.

ts
export const [i18nextMiddleware, getLocale] = createI18nextMiddleware({
  detection: { cookie: localeCookie, fallbackLanguage: "en" },
});

language-switcher - @rules/language-switcher.md

Store locale in cookie/session and keep it in sync.

ts
return data(
  { locale },
  { headers: { "Set-Cookie": await localeCookie.serialize(locale) } },
);

Client & Server Integration (CRITICAL)

root-locale-sync - @rules/root-locale-sync.md

Send locale to the UI and sync <html lang dir>.

tsx
export async function loader({ context }: Route.LoaderArgs) {
  let locale = getLocale(context);
  return data(
    { locale },
    { headers: { "Set-Cookie": await localeCookie.serialize(locale) } },
  );
}

entry-client-init - @rules/entry-client-init.md

Initialize i18next client with htmlTag detection.

ts
i18next.init({ detection: { order: ["htmlTag"], caches: [] } });

entry-server-provider - @rules/entry-server-provider.md

Reuse the middleware instance in SSR with I18nextProvider.

tsx
<I18nextProvider i18n={getInstance(routerContext)}>
  <ServerRouter context={entryContext} url={request.url} />
</I18nextProvider>

Resource Routes & Caching (HIGH)

locales-resource-route - @rules/locales-resource-route.md

Serve /api/locales/:lng/:ns with validation and cache headers.

ts
return data(namespaces[ns.data], { headers });

UI Usage (MEDIUM)

use-bound-t-in-loader - @rules/use-bound-t-in-loader.md

Use the bound t() in loaders and useTranslation in components.

ts
let t = getInstance(context).getFixedT(locale);

Not Found (MEDIUM)

not-found-i18n - @rules/not-found-i18n.md

Provide a 404 route so middleware runs and translations load.

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 Frontend Internationalization Best Practices AI skill do?

Internationalization best practices for React Router framework mode using remix-i18next. Use when setting up locales, middleware, resource routes, or language switching.

Why use Frontend Internationalization Best Practices on TypingMind?

Because you install it once and use it with any model. Frontend Internationalization Best Practices 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 Frontend Internationalization Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sergiodxa/agent-skills/tree/main/skills/frontend-internationalization-best-practices. 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 Frontend Internationalization Best Practices?

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 Frontend Internationalization Best Practices?

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

Is the Frontend Internationalization Best Practices AI skill free?

Yes. It is published on GitHub by sergiodxa 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.

View all

Caveman Stats

JuliusBrussee

CommunityPopular

Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.

Github Dashboard

GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors. Use when the brief asks for a GitHub repo dashboard, open-source…

Interview Me

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an…

Spec Driven Development

addyosmani

CommunityPopular

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when drafting a PRD or requirements document with objectives and…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Internationalization Best Practices

When to Apply

Rules Summary

Setup & Middleware (CRITICAL)

setup-middleware - @rules/setup-middleware.md

locales-structure - @rules/locales-structure.md

Namespaces (HIGH)

namespaces-strategy - @rules/namespaces-strategy.md

Locale Detection & Persistence (CRITICAL)

locale-detection - @rules/locale-detection.md

language-switcher - @rules/language-switcher.md

Client & Server Integration (CRITICAL)

root-locale-sync - @rules/root-locale-sync.md

entry-client-init - @rules/entry-client-init.md

entry-server-provider - @rules/entry-server-provider.md

Resource Routes & Caching (HIGH)

locales-resource-route - @rules/locales-resource-route.md

UI Usage (MEDIUM)

use-bound-t-in-loader - @rules/use-bound-t-in-loader.md

Not Found (MEDIUM)

not-found-i18n - @rules/not-found-i18n.md

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now