Ask me what skills you need
What are you building?
Tell me what you're working on and I'll find the best agent skills for you.
INVOKE THIS SKILL when creating, managing, or using annotation configs on Arize (categorical, continuous, freeform), or applying human annotations to project spans via the Python SDK. Configs are the label schema for human feedback on spans and other surfaces in the Arize UI. Triggers: annotation config, label schema, human feedback schema, bulk annotate spans, update_annotations.
This skill focuses on annotation configs — the schema for human feedback — and on programmatically annotating project spans via the Python SDK. Human review in the Arize UI (including annotation queues, datasets, and experiments) still depends on these configs; there is no ax CLI for queues yet.
Direction: Human labeling in Arize attaches values defined by configs to spans, dataset examples, experiment-related records, and queue items in the product UI. What is documented here: ax annotation-configs and bulk span updates with ArizeClient.spans.update_annotations.
Proceed directly with the task — run the ax command you need. Do NOT check versions, env vars, or profiles upfront.
If an ax command fails, troubleshoot based on the error:
command not found or version error → see references/ax-setup.mdnpx skills add github/awesome-copilot --skill arize-annotationHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Mostly clear, but there are still a few confusing or poorly structured parts.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Partially actionable with several concrete steps, but still missing important details.