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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 optimize_prompts() with GEPA for automated prompt improvement.
v1.0.0New
Signing
SignedSLSA L2- Signed by
- skills-hub.ai distributor
- Method
- Distributor-signed by skills-hub.aiCryptographically signed by the skills-hub.ai distributor key at publish time.
- Signed
Install this skill
Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.
npx @skills-hub-ai/cli install databricks-solutions-databricks-mlflow-evaluationOr download directly:
Browse all CLI commands →Setup by platform
Install
One-click setup for your editorRun in your project root
npx @skills-hub-ai/cli install databricks-solutions-databricks-mlflow-evaluation --target claude-codeInstructions
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