mlflow/skills

mlflow-agent

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.

Trending #9484 First seen Mar 31, 2026

Installation

$ npx skills add mlflow/skills --skill mlflow-agent

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Also in this package

Other skills from mlflow/skills · top by installs.

npx skills add mlflow/skills

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 75
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,671 B
  • docs SUMMARY.md 418 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 532 installs

SKILL.md

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

  1. Read the user's request and identify intent
  2. 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

  1. If intent is unclear, ask ONE clarifying question, then dispatch
  2. 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)