Claude-skill-registry experiment-tracking

Integrate Trackio for experiment tracking in Kaggle competitions. Use PROACTIVELY when user trains models, logs metrics, or manages experiments. Keywords: 実験, 訓練, train, training, tracking, metrics, 指標, ログ

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/experiment-tracking" ~/.claude/skills/majiayu000-claude-skill-registry-experiment-tracking && rm -rf "$T"

manifest: skills/data/experiment-tracking/SKILL.md

source content

When to Use (PROACTIVE)

This skill should be activated automatically when:

User starts model training
User mentions keywords: "実験", "訓練", "train", "training", "tracking"
User needs to track hyperparameters or metrics
New training script creation
User asks about experiment management

What This Skill Does

Ensures all training runs are properly tracked with Trackio:

Local-first experiment tracking (no cloud required)
W&B-compatible API
Automatic metric logging
Gradio dashboard for visualization

How to Use

Refer to

trackio-guide.md

for detailed implementation patterns including:

trackio.init() configuration
Metric logging in training loops
Dashboard usage
Cross-validation tracking
Complete training script examples