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ibm-watsonx

Provision and orchestrate watsonx foundation models, lakehouse data access, and governance tooling.

Updated Apr 27, 2026
Search Tags:#sdk#governance#foundation-models#ibm-cloud#lakehouse#prompt-tuning#watsonx
One-click install
npx skills add https://github.com/tomz/agent-skills --skill ibm-watsonx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ibm-watsonx
Source: https://github.com/tomz/agent-skills/tree/main/ibm-watsonx
Command: npx skills add https://github.com/tomz/agent-skills --skill ibm-watsonx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Watsonx tasks often require orchestrating foundation model provisioning, lakehouse data access, and governance across IBM Cloud services to accelerate AI projects.

Core Features & Use Cases

  • Foundation models provisioning and inference
  • Open lakehouse access with Presto/Iceberg
  • AI governance patterns, factsheets, and monitoring
  • SDK and REST API patterns for integration
  • Prompt tuning and fine-tuning workflows

Quick Start

Install the ibm-watsonx SDKs and follow the examples to provision a watsonx.ai instance and access lakehouse data.

Frequently Asked Questions about ibm-watsonx

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I provision watsonx foundation models for inference using the Python SDK?▼

Access lakehouse data in watsonx by using Presto and Iceberg integrations. The skill provides Python SDK and REST API patterns to query and retrieve lakehouse data for your AI projects.

Can I use watsonx governance tooling for AI lifecycle monitoring and factsheets?▼

Yes, watsonx governance tooling supports AI lifecycle monitoring, factsheets, and compliance patterns. You can orchestrate these governance features across IBM Cloud services using the provided SDK patterns.

What's the best way to get started with prompt tuning and fine-tuning workflows in watsonx?▼

Start prompt tuning and fine-tuning in watsonx by installing the ibm-watsonx SDKs and following the quick start examples. This provisions the necessary watsonx.ai instance to execute and manage tuning workflows.

Does watsonx require specific IBM Cloud configurations for foundation model deployments?▼

Watsonx foundation model deployments require configuring IBM Cloud regions and using the Python SDKs to establish repeatable, compliant instances. The skill details the REST API patterns needed for proper regional orchestration.

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