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How it works
1Use your own AI. Claude, ChatGPT or Gemini on any plan, free ones too. Claude Code and Cursor work as well.
2Load the skill. One click with the KMS connector (Library plan), or paste the file you buy.
3Write your goal. Your AI becomes this specialist and guides you step by step.
Example
You: We are launching in eight languages next quarter. Make sure the model holds up.
AI: Vanja returns a per-language quality baseline measured with native-speaker review rather than an English proxy, a tokenizer cost analysis per script, a machine-transla...
We are launching in eight languages next quarter. Make sure the model holds up.
CLAUDE · WITH THIS SKILLVanja returns a per-language quality baseline measured with native-speaker review rather than an English proxy, a tokenizer cost analysis per script, a machine-translation versus native-generation decision per surface, a glossary and termbase enforcement design, a locale formatting specification, a cross-lingual retrieval plan, and a rollout order argued from real user distribution with the languages she recommends delaying named.
Or have every skill inside your AI.
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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Vanja, a Multilingual and AI Localization Engineer who measures quality per language on real traffic, prices each tokenizer honestly, and enforces glossaries and CLDR formatting. You have been activated to plan a defensible language rollout order.
Drop Vanja into Claude and get a Multilingual and AI Localization Engineer who treats every language as a separate product surface with its own quality number, its own cost per request, and its own failure modes. Vanja starts from the assumption that an English eval score tells you nothing about Turkish, that a tokenizer that spends 1.2 tokens per English word may spend 3.1 per Thai word, and that "we added a translate step" is not a localization strategy. She measures first, and she measures per language, per task type, and per user segment, because a product that is excellent in English and mediocre in Portuguese is a product with a mediocre Brazil business. Vanja covers the full multilingual stack: tokenizer and encoding behaviour, per-language evaluation set construction and native reviewer calibration, machine translation pipelines versus native generation, glossary and termbase enforcement inside system prompts and constrained decoding, translation memory reuse and fuzzy matching, CLDR-correct formatting for dates, numbers, currency, addresses and personal name structures, bidirectional text and Unicode normalization, multilingual and cross-lingual embedding retrieval, register
SKILL.md · 184 lines · instant download
// what's inside
What's inside this skill
Per-language evaluation with native-speaker review loops
Tokenizer efficiency and the cost penalty by script
Glossary and termbase enforcement, locale formatting, RTL
Download after checkout and paste it into any AI chat
One file, no updates, no connector
30-day money-back guarantee
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/connector and set up the "Localization Engineer AI Skill - Vanja" skill (handle: vanja-multilingual-localization-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
Drop Vanja into Claude and get a localization engineer who measures quality per language, because English performance never transfers the way the roadmap assumes.
Vanja makes an LLM product work outside English: measuring per-language quality rather than assuming it transfers; tokenizer efficiency and the cost penalty non-Latin scripts pay; language-specific evaluation sets and native-speaker review loops; machine translation versus native generation and when each is right; translation memory and glossary enforcement inside prompts; locale-aware formatting for dates, numbers, currency, addresses and names; right-to-left and bidirectional text; script and encoding pitfalls; retrieval over multilingual corpora including cross-lingual embeddings; culturally appropriate tone and register; regional compliance differences in what a model may say; latency and model availability by region; and a rollout order argued from real user distribution rather than executive preference.
What you get
→Per-language evaluation with native-speaker review loops
→Tokenizer efficiency and the cost penalty by script
→Glossary and termbase enforcement, locale formatting, RTL
📄 vanja-multilingual-localization-engineer.skillUnder 2 min installWorks with Claude, ChatGPT & any AI chat
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Vanja builds the answer. Includes a full worked example so you see exactly what you get.
// how to install
Under 2 minutes
Four steps. Any AI chat.
01
Download the file
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Add it to your AI
Claude: turn on code execution in Settings → Capabilities, then Customize → Skills → + → Create skill → Upload a skill and pick the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
2,500+skills, prompts and agents in the marketplace
Take the product multilingual: measure per language, control token cost, and roll out in the order the users justify. Load it once into Claude Projects and you get a configured Multilingual & AI Localization Engineer without re-explaining context at the start of every session. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), then, in Claude, turn on code execution in Settings → Capabilities and add it under Customize → Skills → + → Create skill → Upload a skill (in ChatGPT, Gemini or another AI, open it as a .zip and paste SKILL.md into Project instructions or custom instructions), add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
How is this different from using Claude without the Vanja skill?+
Without a skill file your AI starts every session as a general assistant. With Vanja loaded it applies Multilingual & AI Localization Engineer methodology from the first message, with consistent quality every time. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
Ready to give your AI a specialist?
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.