Databricks Mlflow Evaluation
MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimizeprompts() with GEPA for automated prompt improvement.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: Other — see all ranked ›
Install (Claude Code):
cp -r databricks-mlflow-evaluation ~/.claude/skills/- Adoption: 1 repos
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source ↗ · skill:databricks/databricks-mlflow-evaluation
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Measured 2026-08-03 · scorer s5 · how · something wrong here?