Files
Rohit Ghumare c3f43d8b61 Expand toolkit to 135 agents, 120 plugins, 796 total files
- Add 60 new agents across all 10 categories (75 -> 135)
- Add 95 new plugins with command files (25 -> 120)
- Update all agents to use model: opus
- Update README with complete plugin/agent tables
- Update marketplace.json with all 120 plugins
2026-02-04 21:08:28 +00:00

664 B

Track an ML experiment by logging parameters, metrics, and artifacts for comparison.

Steps

  1. Define the experiment metadata:
  2. Log hyperparameters:
  3. Log metrics during and after training:
  4. Save artifacts:
  5. Record environment details:
  6. Tag the experiment with status (running, completed, failed).
  7. Store results in a structured format for later comparison.

Format

Experiment: <name>
Date: <timestamp>
Hypothesis: <what is being tested>
Params: { learning_rate: X, batch_size: Y, ... }

Rules

  • Always log random seeds for reproducibility.
  • Record the exact dataset version used.
  • Never overwrite previous experiment results.