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Mamba Architecture

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davila7·vlatest·backend·MIT

Mamba Architecture optimizes transformer models for speed & memory efficiency, making large language models faster and more accessible.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill mamba-architecture -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/model-architecture-mamba/SKILL.md
Scanned
4 files, 1,029 lines
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About this skill

What it does

This skill provides templates for Mamba architecture, a state space model that aims to improve upon the limitations of Transformers. It allows AI agents to generate code and explanations related to Mamba's design principles, implementation details, and potential applications in areas like long-sequence processing. The skill is designed to be used with Claude Code.

When to use it

  • Understanding Mamba: If you need a clear explanation of the Mamba architecture and its advantages over Transformers for specific tasks.
  • Code Generation: To generate code snippets or complete implementations related to Mamba layers, blocks, or full models.
  • Research Exploration: To explore potential research directions involving Mamba in areas like time series analysis or genomics.
  • Project Prototyping: When you want to quickly prototype a project using the Mamba architecture for sequence modeling tasks.

Key capabilities

  • Mamba Architecture Templates
  • Code Generation (Claude Code compatible)
  • Explanation of design principles
  • Implementation details

Example prompts

  • "Explain the selective scan mechanism in Mamba."
  • "Generate a Python code snippet for a Mamba layer using PyTorch."
  • "Describe how Mamba addresses the quadratic complexity issue with Transformers."

Tips & gotchas

  • This skill is specifically designed to work best within the Claude Code environment. Results may vary with other AI agents.