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mlflow

Plugin

Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.

61Monitoring

Install

claude plugin install mlflow@claude-plugins-official

What is mlflow?

Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.

What's inside

1 bundled component — installing the plugin installs all of them.

Trust

83/100 · Excellent

2 factors scored below maximum

Documentation

README · ~4 min read

MLflow Skills

MLflow Skills for Coding Agents

Turn your favorite coding agent into an LLMOps expert with MLflow skills.

Build, debug, and evaluate GenAI applications with confidence. These skills give your AI coding assistant deep knowledge of MLflow's tracing, evaluation, and observability features.

Works with any coding agent that support Skills, including Claude Code, Cursor, Codex CLI, Gemini CLI, and OpenCode.

Why MLflow Skills?

Building production-ready AI agents is hard. You need observability to understand what your agent is doing, evaluation to measure quality, and debugging tools when things go wrong. MLflow provides SDKs and best practices for all of these operations, and with skills we bring them directly into the environment where LLM agent development happens. Now you can go to your favorite coding agent and just ask:

  • "Add tracing to my LangChain app" → Instruments your code automatically
  • "Why did this trace fail?" → Analyzes spans, finds root causes, suggests fixes
  • "Evaluate my agent's accuracy" → Sets up datasets, scorers, and runs evaluation
  • "Improve my agent and verify your work" → Gives the coding agent reproducible and verifiable mechanism with MLflow eval to hill climb on quality

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