Flow Nexus Neural Networks lets you train and run machine learning models in secure, remote sandboxes. You can build custom neural networks like feedforward, LSTM, or transformer architectures. Choose from different training sizes from small to large. Use the marketplace to find ready-made models. No need to set up your own hardware or wait for local processing.
This skill is made for developers and data scientists who want fast, scalable model training. You can run predictions on your trained models right away. The sandbox environment keeps your work safe and separate. It is simple to get started with clear commands and examples.
Global
mkdir -p ~/.claude/skills/flow-nexus-neuralProject
mkdir -p .claude/skills/flow-nexus-neuralSource Repository
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Power Bi Model Design Reviewgithub/awesome-copilot
Review your Power BI data model design to improve speed and reliability
Power Bi Performance Troubleshootinggithub/awesome-copilot
Find and fix Power BI performance issues with clear step by step guidance