Skills that guide AI coding agents to add observability, run experiments, and optimize prompts for LLM applications using the Arize platform and the ax CLI, with support for tracing, debugging, and production monitoring workflows.

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arize-dataset🎯Skill

Skills for AI coding agents to manage datasets, add observability, and run experiments on LLM applications using the Arize platform, with workflows for tracing, debugging, and prompt optimization in production.

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arize-link🎯Skill

Skill

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arize-evaluator🎯Skill

Arize skill for creating **LLM-as-judge evaluators**, running evaluation tasks, and setting up continuous monitoring — part of the Arize platform's skills that guide AI coding agents to add observability, run experiments, and optimize prompts for LLM applications using the `ax` CLI.

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arize-annotation🎯Skill

Create and manage annotation configs (categorical, continuous, freeform); bulk-annotate project spans via the Python SDK.

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arize-ai-provider-integration🎯Skill

Create and manage LLM provider credentials (OpenAI, Anthropic, Azure, Bedrock, Vertex, and more).