🎯

instrumenting-with-mlflow-tracing

🎯Skill

from mlflow/skills

What it does

Guides AI coding assistants in instrumenting applications with MLflow tracing for observability and debugging of GenAI workflows.

📦

Same repository

mlflow/skills(8 items)

instrumenting-with-mlflow-tracing

Installation

Vibe Index InstallInstalls to .claude/skills/ - auto-recognized by Claude Code

npx vibeindex add mlflow/skills --skill instrumenting-with-mlflow-tracing

skills.sh Install⚠ Installs to .agents/skills/ - may not be auto-recognized by Claude Code

npx skills add mlflow/skills --skill instrumenting-with-mlflow-tracing

Manual InstallCopy SKILL.md content and save to the path below

~/.claude/skills/instrumenting-with-mlflow-tracing/SKILL.md

SKILL.md

58Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

More from this repository7

🎯

agent-evaluation🎯Skill

Agent evaluation skill using MLflow for systematically evaluating and improving LLM agent output quality. Covers tool selection accuracy, answer quality, cost reduction, and end-to-end evaluation with datasets, scorers, and tracing.

🎯

analyzing-mlflow-session🎯Skill

An MLflow skill for analyzing tracing sessions, giving AI coding assistants deep knowledge of MLflow's tracing, evaluation, and observability for debugging GenAI applications.

🎯

querying-mlflow-metrics🎯Skill

Enables AI coding assistants to query MLflow metrics for monitoring and evaluating GenAI application performance.

🎯

mlflow-onboarding🎯Skill

Provides onboarding guidance for MLflow, helping AI coding assistants get started with MLflow's tracing, evaluation, and observability features.

🎯

searching-mlflow-docs🎯Skill

Enables AI coding assistants to search and navigate MLflow documentation for building, debugging, and evaluating GenAI applications.

🎯

retrieving-mlflow-traces🎯Skill

Teaches AI coding assistants how to retrieve and query MLflow traces for analyzing GenAI application performance and behavior.

🎯

analyzing-mlflow-trace🎯Skill

Teaches AI coding assistants how to analyze MLflow traces for debugging and evaluating GenAI applications with MLflow's observability features.