Loading...
Loading...
Found 3 Skills
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.
Evidence-grounded legacy-repository understanding with recurrent human feedback and bounded skill convergence. Activates when the user asks to understand, map, document, onboard to, refactor, modify, or assess a repository.
Build a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build an annotation tool, review traces, or collect human labels.