使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/catalystbyzoho/agent-skills --skill catalyst-zia开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
How 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-quickml` skill 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 |
