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mlflow-agent

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Atualizado31 de março de 2026 às 16:28

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.

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mlflow

mlflow/skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

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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

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
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)

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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

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
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)