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mlflow-eval-agent
mlflow-eval-agent contains 2 collected skills from alexmillerdb, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
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.
Interactive skill testing and ground truth generation. Use when testing a skill's code generation capabilities by executing generated code and saving verified working examples. Invoke with: /skill-test <skill-name>