智能体工作流

experiment-tracking-swanlab

orchestra-research/ai-research-skills

Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.

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安装命令

npx skills add https://github.com/orchestra-research/ai-research-skills --skill experiment-tracking-swanlab

SKILL.md

SwanLab: Open-Source Experiment Tracking

When to Use This Skill

Use SwanLab when you need to:

  • Track ML experiments with metrics, configs, tags, and descriptions
  • Visualize training with scalar charts and logged media
  • Compare runs across seeds, checkpoints, and hyperparameters
  • Work locally or self-hosted instead of depending on managed SaaS
  • Integrate with PyTorch, Transformers, PyTorch Lightning, or Fastai

Deployment: Cloud, local, or self-hosted | Media: images, audio, text, GIFs, point clouds, molecules | Integrations: PyTorch, Transformers, PyTorch Lightning, Fastai

Installation

# Install SwanLab plus the media dependencies used in this skill
pip install "swanlab>=0.7.11" "pillow>=9.0.0" "soundfile>=0.12.0"