agentic-cloud-neural

Train and deploy neural networks in distributed E2B sandbox environments.

Updated Jan 7, 2026

Search Tags:#templates #neural-networks #distributed-training #model-management #federated-learning #agentic-cloud #cloud-mcp

Ready to run

npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill agentic-cloud-neural

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentic-cloud-neural
Source: https://github.com/Aktoh-Cyber/agent-control-plane/tree/main/.claude/skills/flow-nexus-neural
Command: npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill agentic-cloud-neural

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Train and deploy neural networks in distributed E2B sandbox environments using Agentic Cloud to simplify orchestration, resource management, and governance.

Core Features & Use Cases

Distributed neural training across multi-architecture models (feedforward, lstm, gan, transformer) with managed resources and governance.
Model management, deployment, inference, and template marketplace integration for rapid production.
Federated learning and cross-cluster workflows enabling privacy-preserving training and scalable experimentation.

Quick Start

Initiate a distributed neural training workflow in Agentic Cloud with a chosen architecture, dataset, and cluster configuration.

Frequently Asked Questions about agentic-cloud-neural

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I train neural networks across distributed sandboxes?▼

Distributed neural training across sandboxes is managed through Agentic Cloud E2B environments. You initiate a workflow by selecting a model architecture, dataset, and cluster configuration to deploy nodes and start training.

What architectures are supported for distributed training in Agentic Cloud?▼

Distributed training supports multi-architecture models including feedforward, lstm, gan, and transformer. These architectures can be trained across managed clusters with resource governance and federated learning settings.

Can I publish and manage trained models in a template marketplace?▼

Model management includes deployment, inference, and template marketplace integration. You can publish trained neural network templates to the marketplace for rapid production deployment and cross-cluster reuse.

Does federated learning work with cross-cluster workflows for privacy-preserving training?▼

Federated learning enables privacy-preserving training across cross-cluster workflows. It supports scalable experimentation by coordinating distributed nodes without centralizing the underlying dataset.

What do I need to initialize a cluster and start training in E2B environments?▼

To initialize a cluster in E2B environments, you need a chosen architecture, dataset, and cluster configuration. Concrete commands allow you to deploy nodes, start training, monitor progress, and manage resources.