About catalyst-zia
A skill for using Catalyst Zia Services for OCR, analytics, image and object analysis, barcode reading, and content moderation. It directs custom models, ML pipelines, and generative AI work to the separate `catalyst-quickml` skill.
Key features
- 01Zia capability selection
- 02Node.js and Python API examples
- 03OCR and text analytics guidance
- 04Face and object analysis guidance
- 05Barcode and moderation guidance
Use cases
- 01Extracting text with OCR
- 02Analyzing faces or objects
- 03Reading barcodes or moderating content
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/catalyst-ziain Claude Code to confirm it loaded.
Bundled filesreferences/zia-services.md
Details
From the project READMEHow It Works
- 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-quickmlskill instead. - Load
references/zia-services.md— for all Zia API calls with Node.js and Python examples. - 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 |
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