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using-neural-architectures

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Route to the perfect neural architecture, fast.

Software Engineering#GNN#AI routing#Transformer#CNN#RNN#neural networks#architecture selection
Authortachyon-beep
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This meta-skill acts as an intelligent router, guiding you to the most appropriate neural network architecture (CNN, Transformer, RNN, GAN, GNN) based on your data type, problem, and constraints. It prevents costly mistakes by ensuring you select the right foundation before any training begins.

Core Features & Use Cases

  • Intelligent Architecture Routing: Automatically directs you to specialized skills for images, sequences, graphs, or generative tasks.
  • Constraint-Based Selection: Considers data size, compute, latency, and interpretability to recommend the best fit.
  • Use Case: You have a new project involving time series data and need to choose between RNNs, LSTMs, or Transformers. This skill will route you to sequence-models-comparison while prompting for critical details like sequence length and latency.

Quick Start

I need to classify medical images. What neural architecture should I use?

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: using-neural-architectures
Download link: https://github.com/tachyon-beep/skillpacks/archive/main.zip#using-neural-architectures

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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