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build-cython-ext

Fix Cython extension builds for modern Python and NumPy versions.

Updated Feb 24, 2026
Search Tags:#python#build#extension#compilation#numpy#cython
One-click install
npx skills add https://github.com/Zurybr/lefarma-skills --skill build-cython-ext
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-cython-ext
Source: https://github.com/Zurybr/lefarma-skills/tree/main/letta/benchmarks/trajectory-only/build-cython-ext
Command: npx skills add https://github.com/Zurybr/lefarma-skills --skill build-cython-ext

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured approach to building and installing Cython extension packages, specifically addressing common compatibility issues with modern Python and NumPy versions.

Core Features & Use Cases

  • Compatibility Fixes: Guides users through resolving NumPy 2.0 deprecation errors and Python 3.x compatibility issues in Cython modules.
  • Systematic Build Process: Offers a phased approach from pre-build analysis to verification, ensuring a robust build.
  • Use Case: You need to install a legacy Python package that relies on Cython extensions, but it fails to build due to outdated NumPy type references. This Skill will help you identify and fix these issues.

Quick Start

Use the build-cython-ext skill to build and install the current package to the system Python environment.

Frequently Asked Questions about build-cython-ext

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix NumPy 2.0 deprecation errors when building Cython extensions?▼

To fix NumPy 2.0 deprecation errors during Cython extension compilation, you need to update outdated NumPy type references in your setup.py and Cython modules to ensure compatibility with modern Python versions.

How do I install a legacy Python package that fails to compile due to Cython errors?▼

Installing a legacy Python package with Cython compilation failures requires a systematic build process, analyzing pre-build dependencies, resolving Python 3.x compatibility issues in extension modules, and verifying the system Python environment installation.

What is the best way to resolve Python 3.x compatibility issues in extension modules?▼

The best way to resolve Python 3.x compatibility issues in extension modules is to follow a phased build approach using setup.py with Cython extensions, updating deprecated type references and installing the package to the system Python environment.

Why does my Cython compilation fail when using setup.py with modern Python?▼

Cython compilation fails using setup.py with modern Python due to outdated NumPy type references and deprecated API usage, requiring a structured troubleshooting process to identify and patch compatibility issues in the extension modules.

Do I need a specific Python environment to build and install Cython extension packages?▼

Building and installing Cython extension packages requires a system Python environment, where you can execute setup.py scripts to compile extensions and verify that legacy packages resolve modern Python and NumPy compatibility constraints.

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