Multilingual Catalog Launch
AI product catalog translation and localization
Localize approved product catalogs without changing facts, variants, or import fields. A free AI skill for multilingual e-commerce catalog launches and updates.
Made for
E-commerce teams entering a new language market
What you bring
- An approved source catalog and target market or locale
- A glossary, brand terminology, and protected placeholders
- Variant relationships and the required import structure
What you get back
- Localized catalog records with stable product IDs
- A reusable glossary and protected-fact checks
- A review queue and change list for later source revisions
Install this skill
npx skills add https://github.com/aidevs-pt/devs-ai-skills --skill multilingual-catalog-launchRun in your project folder and follow the installer prompts for your assistant. Node.js and npx are required.
MIT-licensed. Your AI assistant, model access, or optional integrations may have separate costs.
A concrete starting point.
Use the bundled synthetic example before introducing company data. No account connection or business files are needed for that first trial.
- Install the skill in your assistant.
- Open its bundled example input and supporting files.
- Ask for the named skill, then review its output against the sources.
A request to try
Use multilingual-catalog-launch with the bundled example. Localize the approved catalog for pt-PT, preserve IDs, facts, variants, and placeholders, and produce a glossary and review queue.
- Protected fields
- SKU BOTTLE-750, capacity 750 ml, and variant links stay unchanged.
- Localized content
- Adapt titles and descriptions to the target market vocabulary.
- Source update
- Flag affected translations when an approved product fact changes.
This is an illustration of the work, not a recorded model result or a performance claim.
Where human review matters
Review language quality and market suitability before import. Localization does not authorize new product claims, certifications, prices, or changes to protected facts.
The repository includes local helper checks. Passing those checks does not validate language quality, your business rules, or a production integration. Python 3.10+ is needed for the helper tools.
Read the skill instructions