Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
unsloth-fft
Performing full fine-tuning (FFT) in Unsloth with 100% exact weight updates and optimized gradient checkpointing. Triggers include fft, full fine-tuning, full_finetuning, exact fine-tuning, and weight updates.
cuba6112/skillfactory
-
google-search
cuba6112/skillfactory
-
torchtext
Natural Language Processing utilities for PyTorch (Legacy). Includes tokenizers, vocabulary building, and DataPipe-based dataset handling for text processing pipelines. (torchtext, tokenizer, vocab, datapipe, regextokenizer, nlp-pipeline)
cuba6112/skillfactory
-
unsloth-dpo
cuba6112/skillfactory
-
unsloth-orpo
cuba6112/skillfactory
-
llamaindex-wolfram-alpha
cuba6112/skillfactory
-
github
cuba6112/skillfactory
-
numpy-interop
cuba6112/skillfactory
-
numpy-set-ops
cuba6112/skillfactory
-
unsloth-sft
Supervised fine-tuning using SFTTrainer, instruction formatting, and multi-turn dataset preparation with triggers like sft, instruction tuning, chat templates, sharegpt, alpaca, conversation_extension, and SFTTrainer.
cuba6112/skillfactory
-
pytest-patterns
cuba6112/skillfactory
-
python-async
cuba6112/skillfactory
-
langchain-agents
cuba6112/skillfactory
-
unsloth-qlora
cuba6112/skillfactory
-
unsloth-gguf
cuba6112/skillfactory
-
numpy-string-ops
cuba6112/skillfactory
-
torch-compile
cuba6112/skillfactory
-
tool-calling
cuba6112/skillfactory
-
unsloth-long-context
cuba6112/skillfactory
-
pytorch-cuda
cuba6112/skillfactory
-
numpy-fft
cuba6112/skillfactory
-
pytorch-quantization
Techniques for model size reduction and inference acceleration using INT8 quantization, including Post-Training Quantization (PTQ) and Quantization Aware Training (QAT). (quantization, int8, qat, fbgemm, qnnpack, ptq, dequantize)
cuba6112/skillfactory
-
numpy-random
cuba6112/skillfactory
-
unsloth-grpo
cuba6112/skillfactory