flow-nexus-neural

Flow Nexus Neural is a sophisticated machine learning orchestration skill designed for developers and AI engineers who need to deploy, train, and manage neural network models within secure, distributed E2B sandbox environments. By integrating directly with Claude Code, this tool allows users to define custom model architectures—including feedforward networks, LSTMs for sequence modeling, GANs for generative tasks, and Transformer models—without managing complex cloud infrastructure manually. The skill is built to support varying computational demands through predefined training tiers, ranging from lightweight nano models to large-scale training clusters.

• Support for multiple neural architectures: Feedforward, LSTM, GAN, Autoencoder, and Transformer models.

• Tier-based resource allocation: Choose from nano, mini, small, medium, and large training configurations to balance speed and model complexity.

• Distributed training capabilities: Initialize and manage training clusters with support for mesh, ring, and star topologies to handle large-scale learning tasks.

• Template marketplace: Access and deploy pre-trained models for common tasks like sentiment analysis, vision, time-series forecasting, and anomaly detection.

• Inference services: Execute high-speed model predictions directly via MCP tool calls with optimized latency and performance.

• Dynamic divergent training: Enable advanced features like lateral, quantum, or chaotic training patterns for specific experimental use cases.

• Prerequisites include adding the Flow Nexus MCP server to your environment and performing registration via the CLI.

• Input configurations use structured JSON objects to define layer parameters, activation functions, learning rates, epochs, and batch sizes.

• The system requires a user_id for tracking and resource management across distributed sessions.

• Outputs provide detailed training metrics, cluster status updates, and inference results in JSON format.

• Users can combine this skill with other Flow plugins for comprehensive AI agent orchestration, including automated test generation and self-learning SONA neural patterns.