How does it help with CI/CD?

It generates GitHub Action workflows that run memory tests on every PR, helping to prevent memory regressions from being merged into your main branch.

What does the --native flag do?

The --native flag enables stack tracking for C extensions, allowing you to see memory allocations occurring within compiled code, which is essential for debugging libraries like NumPy or specialized C modules.

Does this skill work with non-Python projects?

No, this skill specifically targets Python projects as it relies on the memray and pytest-memray libraries for its functionality.

Can I use this to profile live production systems?

This skill is primarily designed for development and CI/CD environments. For production profiling, using standalone memray or monitoring tools like Grafana is recommended.

Python Memory Profiling Configuration

Name: Python Memory Profiling Configuration
Author: laurigates

bylaurigates

•

Security & Testing

Configures and automates memory profiling for Python projects using pytest-memray to detect leaks and monitor resource usage.

This Claude Code skill streamlines the setup of memory profiling infrastructure in Python environments. It automatically integrates pytest-memray, configures memory thresholds, enables leak detection, and sets up CI/CD workflows for regression tracking. By analyzing your project structure, it ensures that you can pinpoint memory-intensive code paths, monitor native C extensions, and maintain high performance through automated benchmarks and flame graph generation.

Key Features

01Native stack tracking support for C extensions and deep profiling

02Generation of memory reports, flame graphs, and compliance summaries

03CI/CD integration via GitHub Actions for automated regression testing

04Automated installation and configuration of pytest-memray and memray

05Detection of memory leaks and enforcement of allocation thresholds

0610 GitHub stars

Use Cases

01Setting up memory regression detection for a Python CI pipeline

02Identifying and fixing memory leaks in large-scale data processing test suites

03Benchmarking memory consumption for high-performance Python applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins configure-memory-profiling

For use in Claude.ai and ChatGPT

Download Skill