experiment-tracking
✓Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
Installation
SKILL.md
| Platform | Best For | Self-hosted | Visualization |
| MLflow | Open-source, model registry | Yes | Basic | | W&B | Collaboration, sweeps | Limited | Excellent | | Neptune | Team collaboration | No | Good | | ClearML | Full MLOps | Yes | Good |
Strengths: Self-hosted, open-source, model registry, framework integrations Limitations: Basic visualization, less collaborative features
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics" Source: eyadsibai/ltk.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/eyadsibai/ltk --skill experiment-tracking- Source
- eyadsibai/ltk
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is experiment-tracking?
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics" Source: eyadsibai/ltk.
How do I install experiment-tracking?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/eyadsibai/ltk --skill experiment-tracking Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/eyadsibai/ltk
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-17