flow-nexus-neural

This skill provides expert guidance for distributed training using Microsoft's DeepSpeed library. It helps developers implement optimization techniques like ZeRO stages, pipeline parallelism, and mixed-precision training. Use this skill when working with DeepSpeed features, debugging code, or learning best practices for large-scale model training.

This Claude Skill provides expert guidance for PyTorch Fully Sharded Data Parallel (FSDP) training, helping developers implement distributed training solutions. It covers key features like parameter sharding, mixed precision, CPU offloading, and FSDP2 for large-scale model training. Use this skill when working with FSDP APIs, debugging distributed training code, or learning best practices for sharded data parallelism.

This skill enables adaptive agent learning using ReasoningBank for pattern recognition and strategy optimization. It's designed for improving agent performance through continuous learning when optimizing repetitive tasks or refining strategies. Key outputs include trained models, pattern libraries, and optimization recommendations with performance benchmarks.

Flow Nexus Neural enables developers to train and deploy neural networks in distributed E2B sandbox environments. It supports multiple architectures like feedforward, LSTM, GAN, and transformer networks, with options for custom models or pre-built templates. Use this skill when you need to manage scalable machine learning workflows through Claude with distributed training capabilities.