using-neural-architectures
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
npx skills add majiayu000/claude-skill-registry --skill using-neural-architectures --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.
# Using Neural Architectures: Architecture Selection Router <CRITICAL_CONTEXT> Architecture selection comes BEFORE training optimization. Wrong architecture = no amount of training will fix it. This meta-skill routes you to the right architecture guidance based on: - Data modality (images, sequences, graphs, etc.) - Problem type (classification, generation, regression) - Constraints (data size, compute, latency, interpretability) Load this skill when architecture decisions are needed. </CRITICAL_CONTEXT> ## When to Use This Skill Use this skill when: - ✅ Selecting an architecture for a new problem - ✅ Comparing architecture families (CNN vs Transformer, RNN vs Transformer, etc.) - ✅ Designing custom network topology - ✅ Troubleshooting architectural instability (deep networks, gradient issues) - ✅ Understanding when to use specialized architectures (GNNs, generative models) DO NOT use for: - ❌ Training/optimization issues (use training-optimization pack) - ❌ PyTorch implementation details (use pytorch-engineering pack) - ❌ Production deployment (use ml-production pack) **When in doubt:** If choosing WHAT architecture → this skill. If training/deploying architecture → different pack
- When to Use This Skill
- How to Access Reference Sheets
- Core Routing Logic
- Step 1: Identify Data Modality
- Step 2: Check for Special Requirements
- Step 3: Consider Problem Characteristics
- Routing by Data Modality
- Images → CNN Families
- Sequences → Sequence Models Comparison
- Graphs → Graph Neural Networks
- Generation → Generative Model Families
- Routing by Architecture Component
- Attention Mechanisms
- Transformer Deep Dive
What does the using-neural-architectures skill do?
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill using-neural-architectures --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.