weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Install
npx skills add davila7/claude-code-templates@weights-and-biasesRuns in your terminal. Adds the skill globally for Claude Code, Cursor, Codex and others; add -g -y to skip prompts.
What it does
Weights & Biases: ML Experiment Tracking & MLOps When to Use This Skill Use Weights & Biases (W&B) when you need to: - Track ML experiments with automatic metric logging - Visualize training in real-time dashboards - Compare runs across hyperparameters and configurations - Optimize hyperparameters with automated sweeps - Manage model registry with versioning and lineage - Collaborate on ML projects with team workspaces - Track artifacts (datasets, models, code) with lineage Users: 200,000+ ML practitioners GitHub Stars: 10.5k+ Integrations: 100+ Installation Quick Start Basic Experiment…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
View source on GitHubBefore you install
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Categories
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