mlflow-evaluation

MLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer functions, (3) building evaluation datasets from traces, (4) using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), (5) analyzing traces for latency/errors/architecture, (6) optimizing agent context/prompts/token usage, (7) debugging evaluation failures. Covers the full eval workflow: trace analysis -> dataset building -> scorer creation -> evaluation execution.

Key Features

• Comprehensive skill evaluation and performance tracking
• Community-driven ratings and reviews
• Easy integration with Claude Code
• Regular updates and maintenance

Quick Start

TopRank Skills install databricks-solutions/mlflow-evaluation