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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

  • Skills
  • AI research
  • 0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/weights-and-biases && curl -fsSL https://doutorai.pt/data/lib/skills__weights-and-biases.md -o .claude/skills/weights-and-biases/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: weights-and-biases
description: 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
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [MLOps, Weights And Biases, WandB, Experiment Tracking, Hyperparameter Tuning, Model Registry, Collaboration, Real-Time Visualization, PyTorch, TensorFlow, HuggingFace]
dependencies: [wandb]
---

# Weights & Biases: ML Experiment Tracking & MLOps

## When to Use This Skill

Use Weights & Biases (W&B) when you need

- 🔒 Full content on the Pro plan (€7.99/month) -

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