cloud-neural
Neural network training and deployment in Flow Nexus cloud. Use for distributed ML training, model inference, and neural network lifecycle management.
npx skills add majiayu000/claude-skill-registry --skill cloud-neural --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cloud Neural Network > Train, deploy, and manage neural networks at scale using Flow Nexus cloud-powered distributed computing. ## Quick Start ```javascript // Train a basic neural network mcp__flow-nexus__neural_train({ config: { architecture: { type: "feedforward", layers: [ { type: "dense", units: 128, activation: "relu" }, { type: "dropout", rate: 0.2 }, { type: "dense", units: 10, activation: "softmax" } ] }, training: { epochs: 100, batch_size: 32, learning_rate: 0.001 } }, tier: "small" }) // Run inference mcp__flow-nexus__neural_predict({ model_id: "trained_model_id", input: [[0.5, 0.3, 0.2]] }) ``` ## When to Use - Training neural networks for classification, regression, or generation tasks - Deploying distributed training across multiple cloud sandboxes - Running model inference on trained models - Managing model lifecycle from training to production deployment - Implementing federated learning or ensemble methods - Fine-tuning pre-trained models for specific domains ## Prerequisites - Flow Nexus account with active session - MCP server `flow-nexus` configured - Sufficient rUv credits for training tier selected ## Core Concepts ### Neural Architectures | Type | Use Case
- Quick Start
- When to Use
- Prerequisites
- Core Concepts
- Neural Architectures
- Training Tiers
- Distributed Consensus Protocols
- MCP Tools Reference
- Single-Node Training
- Distributed Cluster Training
- Inference
- Template Management
- Model Management
- Usage Examples
What does the cloud-neural skill do?
Neural network training and deployment in Flow Nexus cloud. Use for distributed ML training, model inference, and neural network lifecycle management.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cloud-neural --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.