mlflow-agent

name: mlflow-agent description: > Master dispatcher for all MLflow workflows. Use this skill when the user wants to do anything with MLflow — tracing, evaluating, debugging, or improving an agent. Routes to the right MLflow sub-skill automatically. Triggers on: "use mlflow", "help with mlflow", "mlflow agent", "add mlflow to my project", "trace my agent", "evaluate my agent", or any MLflow task without a specific skill in mind. disable-model-invocation: true

MLflow Agent

Master dispatcher for MLflow workflows. Reads user intent and invokes the right sub-skill.

Trigger

Use when the user wants to do anything with MLflow but hasn't specified which skill to use.

Process

1. Read the user's request and identify intent
2. Map to the appropriate skill:
   • Tracing / instrumentation → instrumenting-with-mlflow-tracing
   • Evaluation / scoring → agent-evaluation
   • Debug a trace → analyze-mlflow-trace
   • Debug a chat session → analyze-mlflow-chat-session
   • Search traces → retrieving-mlflow-traces
   • Metrics / costs → querying-mlflow-metrics
   • Getting started → mlflow-onboarding
   • Docs / API questions → searching-mlflow-docs
3. If intent is unclear, ask ONE clarifying question, then dispatch
4. Invoke the matched skill using the Skill tool

Key Rules

• Never do the work yourself — always dispatch to the appropriate sub-skill
• One clarifying question maximum before dispatching
• If the user says "evaluate AND trace", dispatch tracing first, then evaluation
• If the user's request spans multiple skills, handle them in logical order (setup → instrument → evaluate)