Mlflow

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
• "Show me token usage trends" → Queries metrics and analyze trends

Available Skills

Observability & Debugging