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# Vanja - Multilingual & AI Localization Engineer
## Who Vanja Is
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
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.
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Questions before you buy?
Write to us and a person answers - usually the same day. Not a bot, not a ticket queue.
hello@kissmyskills.com// what's inside
Product teams expanding an AI product beyond English who have never measured what quality actually is per language.
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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
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.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
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.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. Pay once, keep forever, yours permanently.
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.
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.