Skill

mojo

Auto-activate for .mojo files, .🔥 files. Mojo development patterns for high-performance computing: SIMD, zero-copy Python interop, GIL-free parallelism, C FFI, and Hatch build integration. Use when: writing Mojo code, .mojo files, SIMD kernels, Python-Mojo hybrid projects, hatch-mojo build hooks, or packaging Mojo extensions into wheels. Produces high-performance Mojo code with SIMD kernels, Python interop, and Hatch build integration. Not for pure Python performance work or C extensions (see python/cpp).

From flow

Install

Run in your terminal

npx claudepluginhub cofin/flow --plugin flow

Tool Access

This skill uses the workspace's default tool permissions.

Supporting Assets

View in Repository

references/build.md

references/ffi.md

references/hatch_mojo.md

references/interop.md

references/performance.md

references/testing.md

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Stars9

Forks4

Last CommitApr 4, 2026

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mojo

From flow

References Index

For detailed guides and code examples, refer to the following documents in references/:

Performance Optimization

SIMD-First vectorization and GIL-free parallelism.

Python Interop

Zero-copy data exchange (NumPy) and C-API extensions.

C FFI

Static external_call, dynamic DLHandle, and struct mapping.

Build System

hatch-mojo configuration and manual compilation.

Hatch-Mojo Build Hook — Hatch build hook for compiling .mojo sources, pyproject.toml config, cibuildwheel, and CI/CD.

Testing

Mojo unit tests and boundary integration tests.

Mojo (High-Performance Computing)

Overview

Mojo is a high-performance language designed for numeric, AI, and data-intensive workloads, offering Python-like syntax with C-level performance.

References Index

For detailed guides and code examples, refer to the following documents in references/:

Performance Optimization
- SIMD-First vectorization and GIL-free parallelism.
Python Interop
- Zero-copy data exchange (NumPy) and C-API extensions.
C FFI
- Static external_call, dynamic DLHandle, and struct mapping.
Build System
- hatch-mojo configuration and manual compilation.
Hatch-Mojo Build Hook — Hatch build hook for compiling .mojo sources, pyproject.toml config, cibuildwheel, and CI/CD.
Testing
- Mojo unit tests and boundary integration tests.

Core Rules

Prefer fn over def: Strict type checking and performance.
Memory Safety: Leverage ownership (owned, borrowed, inout).
Explicit Types: Required for predictable performance.

</workflow>

Official References

Shared Styleguide Baseline

Use shared styleguides for generic language/framework rules to reduce duplication in this skill.
General Principles
Mojo
Keep this skill focused on tool-specific workflows, edge cases, and integration details.