Skill · em Dados, IA e pesquisa

tensorboard

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit

Procedência

Antes de instalar

4 arquivos · 58,3 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/tensorboard/.

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

Global: instala em ~/.claude/skills/tensorboard/.

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

Codex

Neste projeto: instala em .agents/skills/tensorboard/.

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

Global: instala em ~/.agents/skills/tensorboard/.

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

Antigravity

Neste projeto: instala em .agents/skills/tensorboard/.

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

Global: instala em ~/.gemini/antigravity-cli/skills/tensorboard/.

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

Peça ao Rook

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

Prévia do SKILL.md

---
name: tensorboard
description: Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [MLOps, TensorBoard, Visualization, Training Metrics, Model Debugging, PyTorch, TensorFlow, Experiment Tracking, Performance Profiling]
dependencies: [tensorboard, torch, tensorflow]
---

# TensorBoard: Visualization Toolkit for ML

## When to Use This Skill

Use TensorBoard when you need to:
- **Visualize training metrics** like loss and accuracy over time
- **Debug models** with histograms and distributions
- **Compare experiments** across multiple runs
- **Visualize model graphs** and architecture
- **Project embeddings** to lower dimensions (t-SNE, PCA)
- **Track hyperparameter** experiments
- **Profile performance** and identify bottlenecks
- **Visualize images and text** during training

**Users**: 20M+ downloads/year | **GitHub Stars**: 27k+ | **License**: Apache 2.0

## Installation

```bash
# Install TensorBoard
pip install tensorboard

# PyTorch integration
pip install torch torchvision tensorboard

# TensorFlow integration (TensorBoard included)
pip install tensorflow

# Launch TensorBoard
tensorboard --logdir=runs
…

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