catalyst-zia

How It Works

1. Identify the capability — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, Content Moderation (Zia Services). For custom-trained models, AutoML, ML pipelines, or Generative AI (LLM Serving, RAG), STOP and load the catalyst-quickml skill instead.
2. Load references/zia-services.md — for all Zia API calls with Node.js and Python examples.
3. Show both SDK examples — Zia reference includes Node.js and Python; provide both or ask the user which platform they're using.

Triggers

Use this skill for: "Zia", "OCR", "face detection", "text analytics", "object detection", "barcode reader", "content moderation", "sentiment analysis", "image recognition", "Zia Services", or "Zia API".

Route to catalyst-quickml for: "QuickML", "AutoML", "ML model", "train a model on Catalyst", "ML pipeline", "LLM Serving", "RAG", "predict" (with a custom model).

References

Reference	Load when the query is about…
references/zia-services.md	All Zia APIs — Text Analytics, OCR, Face Analytics, Object Detection, Barcode Reader, Moderation — SDK examples in Node.js and Python
../catalyst-quickml/SKILL.md	AutoML, ML pipelines, model training/prediction endpoints, LLM Serving, RAG, Knowledge Base