arize-annotation
Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.
Install
git clone https://github.com/Arize-ai/arize-skills /tmp/arize-skills && ln -s /tmp/arize-skills/skills/arize-annotation ~/.claude/skills/arize-annotationFrom README
Arize Annotation Skill SPACE — --space flags accept a space name (e.g., my-workspace) or a base64 space ID (e.g., U3BhY2U6...). Resolve a known name with ax spaces get NAME; ax spaces list is for human browsing. This skill covers annotation configs (the label schema) and annotation queues (human review workflows), as well as programmatically annotating project spans via the Python SDK. Direction: Human labeling in Arize attaches values defined by configs to spans, dataset examples, experiment-related records, and queue items in the product UI. This skill covers: ax annotation-configs, ax annotation-queues, and bulk span updates with ArizeClient.spans.updateannotations. --- Prerequisites Proceed directly with the task — run the ax command you need. Do NOT check versions, env vars, or profiles upfront.
More from this repo
arize-admin
Manages Arize users, organizations, spaces, projects, roles, role bindings, resource restrictions, and API keys via the...
arize-ai-provider-integration
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and...
arize-compliance-audit
INVOKE THIS SKILL when auditing an AI agent or LLM app for regulatory compliance.