mlflow-agent
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
- Read the user's request and identify intent
- 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
- Tracing / instrumentation →
- If intent is unclear, ask ONE clarifying question, then dispatch
- 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)
More from mlflow/skills
searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".
259agent-evaluation
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. IMPORTANT - Always also load the instrumenting-with-mlflow-tracing skill before starting any work. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
251instrumenting-with-mlflow-tracing
Instruments Python and TypeScript code with MLflow Tracing for observability. Must be loaded when setting up tracing as part of any workflow including agent evaluation. Triggers on adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen), or when another skill references tracing setup. Examples - "How do I add tracing?", "Instrument my agent", "Trace my LangChain app", "Set up tracing for evaluation
231analyzing-mlflow-session
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".
220mlflow-onboarding
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".
219analyzing-mlflow-trace
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
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