This template helps you implement Mamba, the selective state space model architecture that processes sequences in linear time instead of the quadratic complexity you get with transformers. It's built for Linux with NVIDIA GPUs and includes setup instructions for both mamba-ssm and the optional causal-conv1d package for better performance. If you're working on long sequence tasks where transformer attention becomes a bottleneck, or you're just curious about state space models as a transformer alternative, this gives you a starting point. The repository has solid traction with nearly 28K stars, though the skill itself is light on implementation details beyond installation steps.

skills.sh installs
297
GitHub stars
33.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill mamba-architecture --agent claude-code

Installs into .claude/skills of the current project.

Files

This template helps you implement Mamba, the selective state space model architecture that processes sequences in linear time instead of the quadratic complexity you get with transformers. It's built for Linux with NVIDIA GPUs and includes setup instructions for both mamba-ssm and the optional causal-conv1d package for better performance. If you're working on long sequence tasks where transformer attention becomes a bottleneck, or you're just curious about state space models as a transformer alternative, this gives you a starting point. The repository has solid traction with nearly 28K stars, though the skill itself is light on implementation details beyond installation steps.

Browse the repository on GitHub

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Details

Repository
github.com/davila7/claude-code-templates
Categories
Code Review & Quality, Data Science & ML, Design & UI/UX
First seen
Jun 3, 2026

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