training-gym

Use when adding, debugging, validating, or productionizing new model support in modal-training-gym, especially Slime recipes and model configs.

This skill should be used when the user asks to "check the progress of a run", "what step is run X on", "is my training run stuck", "what is run <id> doing", "grab the app logs for a run", "how far along is the rollout", or otherwise wants to know the live status, current step, current phase, or blocker of a modal-training-gym training run given a run id (or partial id / wandb id / Modal app id).

Runbook for launching, monitoring, and debugging training jobs on Modal: entrypoint discovery, detached app workflow, log filtering, container inspection, volume state, image build behavior, and debugging strategy. Use when running modal run, checking app status, reading logs, or troubleshooting a Modal training job.

One-stop reference for the modal-training-gym repo: package layout, core abstractions (ModelConfig, DatasetConfig, framework two-class split, build_app, cloudpickle caller resolution), the tutorial generator system, model catalog, tools/ directory, and common gotchas. Use when working with tutorials, models, frameworks, or any code in this repository.

Tiered validation pipeline for checking whether tutorials and examples still run as documented: Tier 0 (local compile), Tier 1 (cheap drift checks), Tier 2 (scheduled smoke on Modal), Tier 3 (full multi-node validation). Covers discovery, pass criteria, and failure recording. Use when validating, testing, or checking tutorials and examples for drift.