Human feedback helps improve AI systems. This skill lets you create annotation configs and annotation queues on Arize. You can define label schemas like categorical choices or numeric ranges.
Reviewers use these configs to annotate spans, dataset examples, and experiment records. The skill also covers the Python SDK to bulk update annotations. It helps teams run human review workflows efficiently.
Global
mkdir -p ~/.claude/skills/arize-annotationProject
mkdir -p .claude/skills/arize-annotationSource Repository
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