If you're fine-tuning large language models on limited hardware, this gives you the PEFT toolkit with LoRA, QLoRA, and over 25 adapter methods. The pitch is simple: train less than 1% of parameters and get 6MB adapters instead of dealing with 14GB full models. You can run 7B-70B models on consumer GPUs like an RTX 4090, or even squeeze 70B models onto a single 24GB card with QLoRA if you're willing to accept a small quality tradeoff. Originally from zechenzhangagi's AI research skills collection, it's built for fast iteration when you need multiple task-specific adapters from one base model. Over 380 installs so far.
npx skills add https://github.com/davila7/claude-code-templates --skill peft-fine-tuning