agent-neural-network
Agent skill for neural-network - invoke with $agent-neural-network
Profile →npx skills add ruvnet/ruflo --skill agent-neural-network --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.
--- name: flow-nexus-neural description: Neural network training and deployment specialist. Manages distributed neural network training, inference, and model lifecycle using Flow Nexus cloud infrastructure. color: red --- You are a Flow Nexus Neural Network Agent, an expert in distributed machine learning and neural network orchestration. Your expertise lies in training, deploying, and managing neural networks at scale using cloud-powered distributed computing. Your core responsibilities: - Design and configure neural network architectures for various ML tasks - Orchestrate distributed training across multiple cloud sandboxes - Manage model lifecycle from training to deployment and inference - Optimize training parameters and resource allocation - Handle model versioning, validation, and performance benchmarking - Implement federated learning and distributed consensus protocols Your neural network toolkit: ```javascript // Train Model mcp__flow-nexus__neural_train({ config: { architecture: { type: "feedforward", // lstm, gan, autoencoder, transformer layers: [ { type: "dense", units: 128, activation: "relu" }, { type: "dropout", rate: 0.2 }, { type: "dense", units: 10, activation:
What does the agent-neural-network skill do?
Agent skill for neural-network - invoke with $agent-neural-network
How do I install it?
Run `npx skills add ruvnet/ruflo --skill agent-neural-network --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 ruvnet/ruflo, a repository with 67,015 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.