npx skills add mlflow/skills --skill mlflow-agent
panlm/mlflow-skills · Archived
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.
Installation
npx skills add panlm/mlflow-skills --skill mlflow-agent
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This repository is archived — consider an actively maintained alternative.
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Other skills from panlm/mlflow-skills.
npx skills add panlm/mlflow-skills
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Also listed on
Alternate registries and mirrors of this skill.
Repository health
main
Package contents
Files included with this skill beyond the listing page.
-
skill md
SKILL.md1,671 B -
docs
SUMMARY.md419 B
History
- First seen on skills.sh
- First recorded snapshot · 1 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
- 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)