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mojo

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Mojo for HPC & Python Interop

Software Engineering#performance#HPC#build system#SIMD#mojo#python interop#C FFI
Authorcofin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides patterns and best practices for developing high-performance computing applications using Mojo, focusing on seamless integration with Python and leveraging advanced features like SIMD vectorization and GIL-free parallelism.

Core Features & Use Cases

  • High-Performance Kernels: Write optimized code for AI, data science, and numeric workloads.
  • Python Interoperability: Achieve zero-copy data exchange and build Python extensions.
  • C FFI: Integrate with existing C/C++ libraries and system calls.
  • Build System Integration: Utilize hatch-mojo for efficient compilation and packaging.
  • Use Case: Develop a Mojo kernel to accelerate a critical numerical computation in a Python data analysis pipeline, significantly reducing execution time.

Quick Start

Use the mojo skill to create a Python extension for a high-performance numerical computation.

Dependency Matrix

Required Modules

None required

Components

references

💻 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: mojo
Download link: https://github.com/cofin/flow/archive/main.zip#mojo

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