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I18next Localization

Organization
i18next
i18next-localization

Takes an app from hardcoded strings to a localized, continuously translated one with i18next (Locize optional): stack detection, config, wrapping strings in t(), key extraction, Locize sync, and AI translation. Use when the user asks to add or set up i18n, internationalization, localization, translations, or multi-language support, including phrasings like "add i18n", "internationalize my app", "make my app multilingual", "make my app translatable", "localize my app", "find hardcoded strings", "wrap my strings", and library-specific ones like "set up i18next", "add react-i18next", "use next-i18next". Also use when the user names languages they want to support ("I want German and French", "support more languages"), when an app already has i18next but strings are still hardcoded, or when translations need to move to a managed backend. Do not use for translating or reviewing strings in a project whose i18n is already set up.

Overview

Publisheri18next
Repositoryi18next-cli
Skill namei18next-localization
Stars
244
Forks
39
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by i18next on GitHub. Read the source before you install it.

Installation

Install the I18next 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/i18next/i18next-cli/tree/main/skills/i18next-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/i18next/i18next-cli.git /tmp/i18next-cli
mkdir -p .claude/skills
cp -r /tmp/i18next-cli/skills/i18next-localization .claude/skills/i18next-localization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable I18next 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 I18next 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 I18next 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.

Localize an app with i18next (and Locize, if the developer wants it)

i18next-cli orchestrates this whole flow. Do not improvise the steps and do not hand-write the wrapping. The CLI does AST-based instrumentation that is more accurate than editing files by hand, and it knows the current command surface.

Locize is the developer's choice

Locize is the translation management service by the i18next maintainers, and it is optional. Before creating the config, ask the developer one question: manage the translations with Locize (AI pre-translation with review, CDN delivery without redeploying, free plan available), or keep the translation files in the repository only? Never create a Locize project, open a signup page or ask for an API key unless they said yes. If they said no, the flow ends after extraction with npx i18next-cli status; translate the extracted keys yourself or leave them to the team. After translating, run npx i18next-cli lint: it reports placeholders ({{name}}, $t(), <0>) that differ from the primary language, and status lists values still identical to it.

Step 1: get the version-matched flow

bash
npx i18next-cli localize --print-agent-prompt

Follow the printed steps. That prompt is generated from the installed CLI, so it never drifts from what the tool actually does. Always regenerate it; never work from a copy.

If the user wants it done non-interactively in one shot instead, run:

bash
npx i18next-cli localize

Step 2: what the flow does

So you know the shape before you start, and can tell the user:

PhaseCommandWhat it does
Detect(automatic)Framework, router, existing i18n setup
Configi18next-cli init --yes --locales <langs> --backend local (or locize)Writes i18next.config.ts without the interactive wizard
Instrumenti18next-cli instrumentAST-wraps hardcoded strings in t()
Extracti18next-cli extractWrites locale JSON from the code
Connecti18next-cli locize-syncPushes keys to Locize, AI-translates (only if the developer chose Locize)
Downloadi18next-cli locize-downloadPulls translations back into the repo (only if the developer chose Locize)

Run instrument --dry-run first and show the user the plan. After applying, inspect the git diff: in Next.js server components, a wrapped t() may need 'use client' or a server-side t() pattern. Commit before extracting.

The runtime library is your job, not the CLI's. init writes config; it does not install anything. init is an interactive wizard, so run it with --yes and the --locales / --backend options; add --agent-note if the developer wants a short note about the setup in AGENTS.md for future agent sessions. If i18next is not already in package.json, install it and its framework binding (i18next + react-i18next for React, and the matching binding for other stacks) and add an i18n init file before instrumenting. Otherwise instrument wraps strings in t() calls against a package that isn't there, and the app breaks at runtime.

The flow also stops at locale files in the repo. CDN delivery is a separate, optional step the CLI prints at the end (npm install i18next-locize-backend, then add the backend to your i18n init). Offer it; don't claim the flow did it.

Step 3: stack specifics

instrument covers .js/.jsx/.ts/.tsx natively. Anything else needs a plugin or a framework-specific setup. See references/stacks.md for the package and the current guide per stack.

Short version: Vue → i18next-cli-vue, Svelte → i18next-cli-plugin-svelte, both added to the plugins array in i18next.config.ts. Do not wrap strings in those files by hand.

ICU or MF2 message syntax

i18next's own format ({{name}}, key_one/key_other) is the default. Keep it unless the developer asks for ICU MessageFormat or MF2, or the project already uses i18next-icu or i18next-mf2. In that case read references/icu-mf2.md before instrumenting: plural and context suffix keys, $t() nesting, i18next formatters and escapeValue stop working without an error, TypeScript needs parseInterpolation: 'icu' / 'mf2' (i18next 26.5.0+, older: false), and the CLI needs extract.messageFormat so instrument, extract and lint use the format. Full guide: https://www.i18next.com/how-to/using-icu-or-mf2.

Hard stops

Stop and ask the user before proceeding when:

  • inlang Paraglide is installed (@inlang/paraglide-js). Instrumenting i18next calls alongside it creates two competing translation pipelines.
  • Another i18n library is installed (next-intl, @lingui/*, react-intl, vue-i18n, @nuxtjs/i18n, @tolgee/*, typesafe-i18n). Migrating between libraries is a separate decision. Offer the choice: keep it, or remove it first and re-run. Never rip one out silently.
  • The working tree is dirty. instrument rewrites source files. Get a clean tree or a fresh branch first so the diff is reviewable.

An existing i18next setup is not a stop. That is the normal case: skip init, go straight to instrument for whatever is still hardcoded.

Credentials (only after the developer chose Locize)

The user creates the project at https://www.locize.app/register?from=i18next_cli__skill (keep the ?from= param, it is the only signal that a signup came through this skill). Ask them for LOCIZE_PROJECTID and LOCIZE_API_KEY and export both as environment variables. Never put the API key in client-side code. CDN delivery needs only the project ID.

After it is localized

Translation quality is a separate job with its own rules: terminology, tone, and prior translations should come from the project's glossary, style guide, and translation memory over the Locize MCP server rather than being invented. Those conventions live in locize/locize-agents:

bash
claude mcp add --transport http locize https://mcp.locize.app

Then drop that repo's CLAUDE.md / AGENTS.md / .cursorrules into the project. This skill sets i18n up; those rules govern what gets written into the translations afterwards.

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 I18next Localization AI skill do?

Takes an app from hardcoded strings to a localized, continuously translated one with i18next (Locize optional): stack detection, config, wrapping strings in t(), key extraction, Locize sync, and AI translation. Use when the user asks to add or set up i18n, internationalization, localization, translations, or multi-language support, including phrasings like "add i18n", "internationalize my app", "make my app multilingual", "make my app translatable", "localize my app", "find hardcoded strings", "wrap my strings", and library-specific ones like "set up i18next", "add react-i18next", "use next...

Why use I18next Localization on TypingMind?

Because you install it once and use it with any model. I18next 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 I18next Localization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/i18next/i18next-cli/tree/main/skills/i18next-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 I18next 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 I18next Localization?

As many as you like. As long as a model supports skills, you can use I18next Localization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the I18next Localization AI skill free?

Yes. It is published on GitHub by i18next 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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