swanlab-skill
Installation
SKILL.md
SwanLab Skill
SwanLab is an AI training experiment tracking platform. This skill covers two usage patterns:
- Writing tracking code — use the Python SDK (
swanlab.init,swanlab.log,swanlab.finish, media helpers) - Reading experiment data — use the
swanlab apiCLI to query metrics, logs, summaries, media, etc.
Reference Routing
| If the user wants to... | Read this reference |
|---|---|
| Write tracking code (init/log/finish/media) | references/SDK_QUICKSTART.md |
| Query data via CLI (metrics/summary/logs/filter/etc.) | references/CLI_REFERENCE.md |
| Understand data model / terminology / filter syntax | references/SWANLAB_CONCEPTS.md |
| Plot metrics or compare experiments visually | See Scripts below |
Version note (SDK ≥ 0.9.0): use
swanlab api run seriesto discover an experiment's metric keys.run column/run columnsare deprecated since0.9.0and do not apply to multi-view experiments — only fall back to them when the installed SDK is< 0.9.0. SeeCLI_REFERENCE.md > Version Applicability.