Claude Skills by VectorSpaceLab

Use R2R install, serve, config, Docker, provider, and operations workflows.

"Use RAG-Retrieval for RAG reranker inference plus bundled

"Train ColBERT-style late-interaction retrieval models with bundled

"Prepare and validate bundled RAG-Retrieval embedding fine-tuning,

"Use rag_retrieval Reranker inference APIs to score query-document

"Set up and validate BERT or LLM reranker training, dataset

"Use RAGatouille to train, index, search, rerank, integrate, and

"Use RAGatouille for index-free ColBERT reranking, in-memory

"Integrate RAGatouille with LangChain or LlamaIndex-style pipelines

"Use RAGatouille RAGPretrainedModel for pretrained checkpoint

"Prepare RAGatouille ColBERT training data and run RAGTrainer

"Work with RAGFlow, a full-stack Retrieval-Augmented Generation

"Work with RAGFlow agent canvas DSL, components, tools, templates,

"Modify and debug RAGFlow backend API routes, service layers, auth,

"Work on RAGFlow dataset/document/chunk ingestion, parser_config,

"Deploy, configure, validate, and troubleshoot RAGFlow Docker,

"Modify and debug RAGFlow DeepDoc document parsers, PDF OCR/layout

"Modify and debug RAGFlow web frontend API integration, routes,

"Use RAGFlow public HTTP APIs, the Python SDK, OpenAI-compatible

"Use this repo skill for RAGs, a Streamlit app that builds

"Use this RAGs sub-skill to build a Streamlit RAG agent from files,

"Use this RAGs sub-skill to query generated RAG agents, inspect

"Use this RAGs sub-skill to inspect, edit, update, delete, and

"Guides tokenized lexical document retrieval with the rank_bm25

"Routes Raster Vision geospatial computer vision tasks involving

"Routes Raster Vision Docker, AWS Batch, AWS SageMaker, AWS S3,

"Guides Raster Vision agents through ClassConfig, SceneConfig,

"Guides Raster Vision agents through rastervision CLI pipeline

"Routes Raster Vision PyTorch workflow setup for chip

"Routes Rasterio dataset I/O, windowed processing, in-memory files,

"Routes Rasterio dataset opening, reading, writing, profiles,

"Routes Rasterio raster/vector feature extraction, rasterization,

"Routes Rasterio coordinate transforms, reprojection, WarpedVRT,

"Routes Rasterio rio CLI command selection, global options, raster

"Routes Rasterio windowed I/O, block processing, in-memory files,

"Use Ray for distributed Python applications, clusters, Data

"Operate Ray clusters, jobs, dashboard access, runtime

"Use Ray Core for Python tasks, actors, object refs, resources,

"Build and troubleshoot Ray Data pipelines for loading,

"Use Ray RLlib for AlgorithmConfig and PPOConfig workloads,

"Develop, run, deploy, configure, update, lint, and troubleshoot

"Use Ray Train and Ray Tune for distributed training,

"Operate Microsoft's RD-Agent research-agent framework for

"Prepare datasets and operate RD-Agent data-science/Kaggle

"Operate RD-Agent FT-Agent workflows for benchmark-driven LLM data

"Use RD-Agent's general model copilot to turn a paper/report PDF

"Run and troubleshoot RD-Agent quantitative-finance factor and

"Run and troubleshoot RD-Agent RL post-training and AutoRL-Bench

"Install, inspect, configure, and safely operate the RD-Agent

"Use for RDKit cheminformatics tasks: molecule parsing and