Collection6 items

mlflow/skills

2stars

🎯Skills6

Systematically evaluates and improves LLM agent performance using MLflow, tracking output quality, tool selection, and response accuracy.

agent-evaluation

🎯analyzing-mlflow-trace🎯Skill

Debugs and analyzes MLflow traces by examining spans, identifying issues, and correlating trace details with the underlying codebase to help diagnose performance or execution problems.

analyzing-mlflow-trace

🎯analyzing-mlflow-session🎯Skill

Analyzes and reconstructs the details of an MLflow session, helping diagnose issues and understand the flow of interactions during a machine learning experiment or AI agent workflow.

analyzing-mlflow-session

🎯mlflow-onboarding🎯Skill

Guides new users through setting up MLflow tracing and evaluation in their AI project, providing step-by-step configuration and best practices for initial MLflow integration.

mlflow-onboarding

🎯querying-mlflow-metrics🎯Skill

Fetches and analyzes aggregated MLflow metrics like token usage, performance, and cost across AI agent runs and experiments.

querying-mlflow-metrics

🎯instrumenting-with-mlflow-tracing🎯Skill

Automatically adds MLflow tracing instrumentation to Python and TypeScript code for AI applications, supporting popular LLM frameworks and libraries.

instrumenting-with-mlflow-tracing

Back to Home