Skill · em Dados, IA e pesquisa

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

Procedência

Antes de instalar

4 arquivos · 58,4 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/weights-and-biases/.

d=".claude/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Global: instala em ~/.claude/skills/weights-and-biases/.

d="$HOME/.claude/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Codex

Neste projeto: instala em .agents/skills/weights-and-biases/.

d=".agents/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Global: instala em ~/.agents/skills/weights-and-biases/.

d="$HOME/.agents/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Antigravity

Neste projeto: instala em .agents/skills/weights-and-biases/.

d=".agents/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Global: instala em ~/.gemini/antigravity-cli/skills/weights-and-biases/.

d="$HOME/.gemini/antigravity-cli/skills/weights-and-biases"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/mlops-weights-and-biases"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/artifacts.md" "$u/references/artifacts.md" \
  -o "$d/references/integrations.md" "$u/references/integrations.md" \
  -o "$d/references/sweeps.md" "$u/references/sweeps.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.weights-and-biases

Prévia do SKILL.md

---
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 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

```bash
# Install W&B
pip install wandb

# Login (creates API key)
wandb login

# Or set API key programmatically
export WANDB_API_KEY=your_api_key_here
```

## Quick Start
…

Ver todo o marketplace