Claude Skills by infiniV

Use when the user asks to fine-tune, train, evaluate, audit, or ship a machine-learning model on the Hugging Face ecosystem — SFT, DPO, GRPO, RLHF, LoRA/QLoRA, post-training, dataset auditing, paper-driven research, hf jobs submission, Trackio monitoring, push-to-Hub. Triggers include "fine-tune", "train a model", "SFT", "DPO", "GRPO", "RLHF", "post-training", "audit this dataset", "literature review for X task", "submit hf job", "find a dataset for X", "best recipe for X", "hyperparameter sw...

Use before writing, reviewing, or debugging any code that uses a specific ML model (DINOv3, SAM 2, Whisper, Qwen3-Embedding, SigLIP 2…), whenever a model-provenance archive for it exists locally. Loads that archive's real source — checkpoint ids, API signatures, preprocessing constants, training recipe — so the code is written from the model's actual code instead of training-time recall, then mechanically checks the result. Triggers include "load DINOv3 and extract features", "fine-tune SAM 2...

Use when the user names a specific ML model (e.g. DINOv3, SAM 2, Whisper, Qwen2-VL) and wants its real/official code, training recipe, or papers found, verified, or archived locally for grounded coding. Triggers include "find the real code for this model", "harvest DINOv3", "store the model's code and papers locally", "archive the training/inference code", "set up a local source-of-truth / reference archive for a model", or any request that future coding against a model be grounded in its act...

Use when the user points at a hard, unsolved, or open problem in any field — mathematics, physics, biology, ML, engineering — and wants a real attack on it. Runs a sustained multi-agent assault: establishes the state of play from primary sources, hunts for the two literatures nobody has combined, generates and kills hundreds of candidate approaches in parallel, attacks whatever survives, formalizes or numerically verifies the result, and states exactly what was proven. Triggers include "solve...