Cmux Localization

OrganizationPopular

manaflow-ai

cmux-localization

Localization rules and audit workflow for cmux UI strings, settings rows, menus, shortcuts, schema/config text, docs, command/help text, alerts, tooltips, and web messages. Use whenever changing user-facing text.

Overview

Publisher	manaflow-ai
Repository	`cmux`
Skill name	`cmux-localization`
Stars	27.5K
Forks	2.4K
Bundled files	2
Links	Skill source Repository Homepage

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 manaflow-ai on GitHub. Read the source before you install it.

Installation

Install the Cmux Localization 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.
https://github.com/manaflow-ai/cmux/tree/main/skills/cmux-localization
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.

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/manaflow-ai/cmux.git /tmp/cmux
mkdir -p .claude/skills
cp -r /tmp/cmux/skills/cmux-localization .claude/skills/cmux-localization

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

Use it in TypingMind

Enable Cmux 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 Cmux 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 Cmux 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.

cmux Localization

Use this skill for any user-facing string change.

Normal contributor flow

After adding or changing user-facing copy, run ./scripts/localize-changes.

The command compares the current worktree with the mainline base, discovers changed Swift localization keys and English web messages, prepares simple new or changed macOS catalog entries with minimal edits, and writes a machine-readable translation packet under git metadata. Fill value for simple translations or localization for plural or variant entries, then run the same command again. When an existing translation is still correct after an English change, fill value with that same text; the packet remembers the confirmation so later runs do not mark it for review again. Completed macOS rows are imported through scripts/localization_catalog.py merge, and scripts/localization_catalog.py check remains the final authoritative validator.

Use --base <ref> for another comparison base and --work-file <path> when a translation helper needs a visible packet. The default packet stays outside the worktree. Ambiguous catalog ownership, a key whose Swift call sites (changed or not) disagree on defaultValue, count-like new strings, unsupported Swift literal forms, and invalid generated translations stop with a concrete human-attention item so the existing placeholder, plural, bidi, omission, identity-translation, copied-English, and catalog checks stay intact.

Hard rules

Every user-facing string is localized. Never a bare string literal in SwiftUI Text(), Button(), alert titles, tooltips, menus, or dialogs.
Swift/AppKit/SwiftUI: String(localized: "key.name", defaultValue: "English text"), with keys in Resources/Localizable.xcstrings. Every feature PR includes translated entries for all supported macOS languages required by scripts/localization_catalog.py (currently en, de, fr, ar, es, zh-Hant, zh-Hans, ko, ja), subject to the exact omission records below. English and Japanese entries are always required.
defaultValue, English fallback text, schema descriptions, and copied English strings do not count as localization. Record deliberate invariant literals in scripts/localization-allowed-omissions.json, with the exact source and omission class. A correct translation that shares the English spelling needs a documented identityLocales exception for that key and locale; the translated entry remains required.
Localized web/docs content updates every locale declared by web/i18n/routing.ts, with a matching web/messages/<locale>.json entry plus any localized data structures carrying inline translations.
A localization audit is required for every user-facing change.

Audit checklist

Before finishing a task that changes UI, Settings rows, menus, shortcut metadata, schema/config text, docs, command/help text, alerts, or tooltips:

Run ./scripts/localize-changes first and resolve every reported translation row or human-attention item.

Enumerate the changed user-facing surfaces.
Verify each surface has a catalog key and translated values for every supported macOS locale (en, de, fr, ar, es, zh-Hant, zh-Hans, ko, ja) in the feature PR, unless an exact omission record allows an absent value. Omission records still require en and ja entries.
Parse the touched localization files and compare changed message keys across locales.
Run rg over changed Swift/TS/TSX/docs files for newly introduced bare English.
State in the final handoff what audit was performed, or explicitly say what could not be verified.

Resources/Localizable.xcstrings, Resources/InfoPlist.xcstrings, and the linked macOS package catalogs must pass python3 scripts/localization_catalog.py check. New keys must carry all nine macOS locale entries unless covered by an exact omission record; en and ja entries remain required. Preserve printf placeholders and use plural variations for count strings where the source has a count.

Count strings are recorded in scripts/localization-plurals.json with the English source and the argument numbers that select plurals. Every required plural category must contain translated text. Use substitutions when more than one count varies or when the count is not the first argument. Arabic requires zero/one/two/few/many/other; French and Spanish include many. Keep every message inside the catalog's strings object so Xcode compiles it.

For a shared-spelling word inside a plural substitution, use an identityLocales object with reason and an explicit values list. This permits the listed leaf text (for example French %d machines) while continuing to reject an untranslated English sentence around it.

Detailed reference

references/audit-workflow.md: what counts as user-facing, search patterns, and handoff wording.

New keyboard shortcuts also need docs and Settings entries; see ../cmux-keyboard-shortcuts/SKILL.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/audit-workflow.md1 KB

Frequently asked questions

What does the Cmux Localization AI skill do?

Why use Cmux Localization on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manaflow-ai/cmux/tree/main/skills/cmux-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 Cmux 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 Cmux Localization?

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

Is the Cmux Localization AI skill free?

It is published on GitHub by manaflow-ai. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

cmux Localization

Normal contributor flow

Hard rules

Audit checklist

Detailed reference

Bundled files

Frequently asked questions

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