# AI Ml Imaging

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

- Skill: `yuukias/ai-ml-imaging` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add yuukias/ai-ml-imaging`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/ai-ml-imaging/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/ai-ml-imaging

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# 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.