Claude Skills by VectorSpaceLab

"Encode Tevatron queries and corpora, run FAISS retrieval, merge

"Plan Tevatron multimodal and LLM retriever/ranker workflows,

"Train and run Tevatron cross-encoder rerankers, prepare pairwise

"Build Tevatron dense, sparse, distillation, GradCache, LoRA,

"Routes legacy TensorFlow 1.x text-classification workflows for

"Route classic TensorFlow 1.x text classification model selection,

"Validate and prepare raw text-classification inputs, label

"Operate legacy two-sentence relation, CNN+RCNN hybrid,

"Operate brightmart/text_classification sequence-generation,

"Operate text2vec for text embeddings, similarity search, model

"SentenceModel, SBert, Word2Vec, EncoderType, batch embedding CLI,

"Model selection, benchmark interpretation, Spearman/Pearson/QPS

"Serve text2vec embeddings and similarity workflows through

Score text pairs and run dense or BM25 retrieval with text2vec.

"Route supervised and contrastive fine-tuning for CoSENT,

"Use TextBlob for Python text processing: tokenization, POS

"Build, evaluate, update, and debug TextBlob classifiers and their

"Use TextBlob document-level NLP workflows for tokenization,

"Build TextBlob-compatible custom models, Blobber shared factories,

"Use TextBlob Word and WordList for word-level morphology, spelling

"Routes agents through textgenrnn generation, training, and

"Guides agents using textgenrnn encode_text_vectors,

"Guides agents through textgenrnn generate, generate_samples,

"Routes textgenrnn training, train_on_texts, train_new_model,

"Route TensorFlow 1.x Faster R-CNN tasks for install/build,

"Inspect and modify tf-faster-rcnn model, backbone, RPN/proposal,

"Prepare, validate, and troubleshoot tf-faster-rcnn dataset

"Plan tf-faster-rcnn pretrained demo/image inference, checkpoint

"Routes tf-faster-rcnn install, build, CUDA, TensorFlow, Cython

"Train, test, re-evaluate, and convert tf-faster-rcnn experiments

"Build, train, and inspect tf_unet TensorFlow 1.x

"Work with tf_unet data providers, toy generators, paired image

"Configure tf_unet model graphs, training loops, checkpoints,

"Use and troubleshoot TFLearn, a TensorFlow-v1-style high-level

"Choose and adapt higher-level TFLearn recipes for vision, NLP,

"Prepare, validate, and attach TFLearn data feeds, preprocessing,

"Build TFLearn TensorFlow v1 graph components, layer APIs,

"Train, evaluate, predict, save, restore, and debug TFLearn models

"Use Tianshou 2.0.1 for PyTorch/Gymnasium deep reinforcement

"Use Tianshou data carriers, replay buffers, collectors, return

"Integrate Gymnasium and PettingZoo environments with Tianshou

"Use Tianshou 2.0.1 high-level experiment builders for declarative

"Use Tianshou 2.0.1 offline RL, imitation learning,

"Wire Tianshou 2.0.1 procedural training pipelines with explicit

"Route TIAToolbox tasks for computational pathology image I/O,

"Plan and implement TIAToolbox annotation stores, DSL filters,

"Use the TIAToolbox console safely: discover commands, choose the

"Use TIAToolbox for tissue masking, stain

"Plan and validate TIAToolbox model inference with PatchPredictor,

"Use TIAToolbox for whole-slide image reading, metadata,