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.
Install
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add Orchestra-Research/AI-Research-SKILLs --skill swanlab -a cursor -y
Download 13-mlops/swanlab/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does experiment-tracking-swanlab live?
The publisher keeps it at https://github.com/Orchestra-Research/AI-Research-SKILLs.
Which agents can use experiment-tracking-swanlab?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
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.
name: experiment-tracking-swanlab
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [MLOps, SwanLab, Experiment Tracking, Open Source, Visualization, PyTorch, Transformers, PyTorch Lightning, Fastai, Self-Hosted]
dependencies: [swanlab>=0.7.11, pillow>=9.0.0, soundfile>=0.12.0]
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
# Install SwanLab plus the media dependencies used in this skill
pip install "swanlab>=0.7.11" "pillow>=9.0.0" "soundfile>=0.12.0"
# Add local dashboard support for mode="local" and swanlab watch
pip install "swanlab[dashboard]>=0.7.11"
# Optional framework integrations
pip install transformers pytorch-lightning fastai
# Login for cloud or self-hosted usage
swanlab login
pillow and soundfile are the media dependencies used by the Image and Audio examples in this skill. swanlab[dashboard] adds the local dashboard dependency required by mode="local" and swanlab watch.