skills.rest
JingyiWng
JingyiWngCOMMUNITY
Explore all skills by this author →
GitHub

retrieving-mlflow-traces

Retrieve MLflow traces by ID or advanced filters across experiments.

Updated Mar 25, 2026
Search Tags:#debugging#python#cli#filters#traces#mlflow
One-click install
npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill retrieving-mlflow-traces-jingyiwng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retrieving-mlflow-traces
Source: https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher/tree/main/.claude/skills/retrieving-mlflow-traces
Command: npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill retrieving-mlflow-traces-jingyiwng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieves MLflow traces across experiments by trace-id or via advanced filters to support debugging and analytics.

Core Features & Use Cases

  • Single trace fetch: retrieve a specific trace by trace-id using mlflow traces get.
  • Conditional search: locate traces by experiment/run, session, user, status, time range, tags, and metadata to diagnose issues or analyze performance.
  • Output rich details: access trace metadata, status, timestamps, and spans for in-depth analysis and reporting.

Quick Start

Ask me to fetch a trace by ID using mlflow traces get or to search traces with filters using mlflow traces search.

Frequently Asked Questions about retrieving-mlflow-traces

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve a specific MLflow trace by its ID?▼

To retrieve an MLflow trace by ID, use the mlflow traces get command. This fetches the exact trace record, allowing you to inspect its metadata, status, timestamps, and spans for debugging.

Can I search MLflow traces using filters like run ID, user, or status?▼

Yes, you can search MLflow traces using advanced filters. The mlflow traces search command supports locating traces by experiment, run, session, user, status, time range, tags, and metadata.

What details are included when fetching MLflow traces for debugging?▼

Fetching MLflow traces includes outputting rich details such as trace metadata, status, timestamps, and spans. You can optionally format the output to include specific spans, tags, and metadata.

How do I find MLflow traces within a specific time range or session?▼

You can find MLflow traces within a specific time range or session by using conditional search filters. The mlflow traces search command allows filtering by time range and session to isolate relevant records.

Does retrieving MLflow traces require any additional dependencies?▼

Retrieving MLflow traces relies on the mlflow traces CLI commands and requires no additional dependencies. It enforces correct CLI usage to fetch and format trace data natively.

Related Skills

Explore More Data & Analytics Skills→
BlackkadderBlackkadder

querying-mlflow-metrics

Fetch aggregated trace metrics from MLflow tracking servers.

Community
Intermediate
JingyiWngJingyiWng

analyzing-mlflow-trace

Analyze MLflow trace JSON files to identify errors and performance bottlenecks.

Community
Advanced
dominodatalabdominodatalab
6

domino-experiment-tracking

Track MLflow experiments in Domino Data Lab with auto-logging.

Official
Intermediate
ScottHMcKeanScottHMcKean

retrieving-mlflow-traces

Retrieve MLflow traces by ID or search with filters via CLI or Python API.

Community
Intermediate