analyze-mlflow-trace
CommunityAnalyze MLflow traces for insights.
Authorslysik
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users understand and debug MLflow traces by analyzing their structure, identifying errors, and correlating them with code.
Core Features & Use Cases
- Trace Analysis: Parses MLflow trace JSON to extract key information like state, span details, and assessments.
- Error Identification: Pinpoints error spans and assessment failures within a trace.
- Code Correlation: Provides guidance on mapping trace elements back to the source codebase for root-cause analysis.
- Use Case: When an ML model's performance degrades, use this Skill to analyze the MLflow trace of its execution, identify which part of the pipeline failed or produced unexpected results, and understand why by examining span inputs/outputs and assessments.
Quick Start
Use the analyze-mlflow-trace skill to get a health check summary for the trace ID 'your-trace-id'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: analyze-mlflow-trace Download link: https://github.com/slysik/databricks-claude-coding/archive/main.zip#analyze-mlflow-trace Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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