bypatchy631· 10 skills
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
$npx -y skills add patchy631/ai-engineering-hub --skill hugging-face-trackioInstalls into the current project.
Run `npx skills use "https://github.com/patchy631/ai-engineering-hub" --skill "patchy631/ai-engineering-hub/hugging-face-trackio"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/patchy631/ai-engineering-hub" that are relevant to the current task. Run `npx skills add "https://github.com/patchy631/ai-engineering-hub"` and select the relevant skills, then follow their instructions.