Collect fine-tuning requirements, validate datasets and API keys, generate backend-specific LoRA SFT runs for Tinker or HPC-AI SDK, launch training, and report progress. Use when the user wants to fine-tune a model on local data or a backend-hosted/common dataset such as gsm8k, knights-and-knaves, no_robots, or tulu-3-sft-mixture, start a LoRA/SFT job, compare Tinker vs HPC-AI, or ask for training status.
This skill includes a SKILL.md with agent instructions.