claudecodex

openshift-ai-skills

Add and configure Red Hat OpenShift AI components in your project. Interactive skills for model serving, pipelines, model registry, RAG, training, and more.

7 on GitHubby ikatavv0.1.0Apache-2.0updated 2 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin openshift-ai-skills in RHEcosystemAppEng/openshift-ai-plugin. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (5)

  • add-openshift-ai-component

    Add a Red Hat OpenShift AI component to an existing project, wire it into the application, and verify it on every deployment target. Use when the user wants to add, deploy, or integrate a specific OpenShift AI component such as KServe, vLLM, Model Registry, Data Science Pipelines, or any component f

  • migration-evaluator

    Evaluate whether migrating existing code or infrastructure to a specific OpenShift AI component is feasible. Use when the advisor needs a migration difficulty verdict for a single component.

  • openshift-ai-advisor

    Analyze a project and recommend OpenShift AI components. Use when the user wants guidance on OpenShift AI architecture, asks "what should I deploy", or wants to integrate OpenShift AI into an existing project.

  • project-scanner

    Scan a project for ML/AI patterns, model artifacts, frameworks, and infrastructure signals. Use when the advisor needs a structured inventory of what ML/AI work a project already does.

  • unbiased-test-writer

    Write black-box tests for an OpenShift AI component using only its public contract. Use when the main agent has finished implementing a component and needs unbiased test coverage.

Subagents (3)

  • migration-evaluator

    Evaluate whether migrating existing code or infrastructure to a specific OpenShift AI component is feasible. Use when the advisor needs a migration difficulty verdict for a single component.

  • project-scanner

    Scan a project for ML/AI patterns, model artifacts, frameworks, and infrastructure signals. Use when the advisor needs a structured inventory of what ML/AI work a project already does.

  • unbiased-test-writer

    Write black-box tests for an OpenShift AI component using only its public contract. Use when the main agent has finished implementing a component and needs unbiased test coverage.

View source on GitHub

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