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huggingface-trackio

Skill

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output f

0Monitoring

Install

git clone https://github.com/huggingface/skills.git ~/.claude/skills/huggingface-trackio

What is huggingface-trackio?

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~79 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

Trackio - Experiment Tracking for ML Training

Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards.

Three Interfaces

TaskInterfaceReference
Logging metrics during trainingPython APIreferences/logging_metrics.md
Firing alerts for training diagnosticsPython APIreferences/alerts.md
Retrieving metrics & alerts after/during trainingCLIreferences/retrieving_metrics.md

When to Use Each

Python API → Logging

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