ai-ml-imaging

Trigger Boundary

AI/ML support for imaging workflows with PyTorch Lightning and Transformers.

Use this aggregate Codex App skill when the task matches one of the source workflows below.

Source Workflows

• pytorch-lightning: Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training. Reference: _src/lightning/source.md
• transformers: This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Reference: _src/hf/source.md

Workflow

1. Choose the source workflow whose trigger boundary best matches the user request.
2. Read that source workflow's source.md before acting.
3. Load only the needed files under that workflow's copied references, scripts, assets, or evals.
4. Follow the source workflow unless the current project gives stricter instructions.