---
name: catalyst-zia
description: "Catalyst Zia Services and QuickML — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, Content Moderation, and AutoML predictions. Trigger on 'Zia', 'QuickML', 'OCR', 'face detection', 'text analytics', 'AutoML', 'ML model', or 'train a model on Catalyst'. DC restrictions: Identity Scanner Document Processing is IN DC only (API included); Facial Comparison works via API from any DC (console testing is IN DC only); AutoML/QuickML is not available in JP, SA, CA data centers."
metadata:
  version: "2.0.1"
---

## How It Works

1. **Identify the capability** — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, Content Moderation (Zia Services), or AutoML/predictions (QuickML).
2. **Load `references/zia-services.md`** — for all Zia API calls with Node.js and Python examples.
3. **Load `references/quickml.md`** — for AutoML workflow (dataset upload → training → prediction) and pricing.
4. **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", "QuickML", "OCR", "face detection", "text analytics", "object detection", "barcode reader", "content moderation", "AutoML", "ML model", "predict", "Zia Services", "image recognition", "sentiment analysis", "train a model on Catalyst", or "Zia API".

## 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 |
| `references/quickml.md` | AutoML workflow, problem types (classification/regression), dataset upload, SDK prediction calls, pricing |