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Skill

mlflow-agent

@mlflow Updated 2026-10-23

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.

Install

With your agent

Install OMGSkills skill "mlflow/skills:mlflow-agent" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/mlflow/skills /tmp/skills && ln -s /tmp/skills/mlflow-agent ~/.claude/skills/mlflow-agent

From README

MLflow Agent Master dispatcher for MLflow workflows. Reads user intent and invokes the right sub-skill. Step 1: Identify the workflow Use the user's request to choose the relevant skill. Ask at most one clarifying question if the intent is unclear. Step 2: Dispatch Tracing / instrumentation → instrumenting-with-mlflow-tracing Debug or explain an agent failure → debug-agent Fix or change an agent's behavior → fix-agent-issue 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 Invoke the matched skill using the Skill tool.