compare_methods

Analyze and compare signal-processing methods to generate a comparative notebook section.

1|Updated Dec 17, 2025

Search Tags:#analysis #tutorial #notebooks #educational #signal-processing #compare #gwexpy

Ready to run

npx skills add https://github.com/tatsuki-washimi/gwexpy --skill compare-methods

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: compare_methods
Source: https://github.com/tatsuki-washimi/gwexpy/tree/main/.agent/skills/compare_methods
Command: npx skills add https://github.com/tatsuki-washimi/gwexpy --skill compare-methods

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze and compare similar signal-processing methods to reveal their technical and physical differences.

Core Features & Use Cases

Provide structured, side-by-side method analyses for research and education.
Generate a notebook-ready comparison section with both narrative and visuals.
Apply to gwpy vs gwexpy style method comparisons for teaching or auditing implementations.

Quick Start

Create a side-by-side comparison notebook section using a synthetic signal and plot the results for direct visual contrast.

Frequently Asked Questions about compare_methods

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

FAQPage Schema

How do I compare signal-processing methods like gwpy and gwexpy in a notebook?▼

Comparing similar signal-processing methods involves analyzing their technical and physical differences across averaging, filtering, timing, and domain assumptions. This Skill generates a pedagogical notebook section with narrative and visuals, applying synthetic signals to reveal implementation distinctions in methods like gwpy and gwexpy.

What is the best way to visually contrast filtering methods for educational purposes?▼

The best way to visually contrast filtering methods is by creating a side-by-side comparison notebook section using a synthetic signal. This approach plots the results of different methods for direct visual contrast, providing structured, pedagogical analyses suitable for teaching or auditing implementations.

Can I use this to audit timing differences across signal-processing code repositories?▼

Yes, you can use this to audit timing differences across signal-processing code repositories. It performs cross-method analysis within repositories and notebooks, specifically focusing on timing, averaging, filtering, and domain assumptions to reveal technical and physical differences between implementations.

Do I need source code access to analyze differences between signal-processing methods?▼

Yes, you need source code access and proper documentation of the methods to analyze their differences. This access is required to produce reproducible comparisons and generate a structured, pedagogical notebook section that accurately reflects the underlying technical and physical implementations.