solverpy-tester

Develop, extend, and debug solverpy test suites and benchmarks.

19|Updated Apr 24, 2023
One-click install
npx skills add https://github.com/cbboyan/solverpy --skill solverpy-tester
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: solverpy-tester
Source: https://github.com/cbboyan/solverpy/tree/main/.claude/skills/solverpy-tester
Command: npx skills add https://github.com/cbboyan/solverpy --skill solverpy-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of writing, updating, and debugging tests within the solverpy codebase, enhancing test reliability and development speed.

Core Features & Use Cases

  • Test Writing and Extension: Guides users on creating and expanding test cases for solverpy.
  • Benchmark Automation: Facilitates running large-scale solver evaluations on multiple problem sets.
  • Use Case: Imagine a developer adding a new solver—this Skill helps them write test cases, set up benchmark evaluations, and analyze results efficiently with minimal manual effort.

Quick Start

Use this Skill to write a new test for a solver or run an existing test suite to verify solver performance on different problem datasets.

Frequently Asked Questions about solverpy-tester

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

FAQPage Schema
How do I write and extend test suites for solverpy projects?

Automating pytest benchmarks for solverpy involves setting up large-scale solver evaluations across multiple problem sets and configurations. This Skill facilitates running these benchmark tests automatically to verify solver performance and analyze results efficiently.

Can I run large-scale solver evaluations across multiple configurations?

Yes, you can run large-scale solver evaluations across multiple configurations. The Skill handles the setup and execution of benchmark tests, allowing you to evaluate solver performance on different problem datasets while ensuring result reproducibility.

How do I debug solverpy test cases to improve testing workflows?

To debug solverpy test cases, this Skill provides clear guidance on identifying issues within your test suites. It helps ensure compatibility with your existing evaluation pipelines, ultimately improving testing workflows and development speed.

Does this Skill require any external dependencies to set up benchmark tests?

No external dependencies are required to set up benchmark tests. The Skill operates independently with its internal scripts and references to assist in developing, extending, and debugging your solverpy test suites and benchmarks.

What is the best way to ensure compatibility with existing solverpy evaluation pipelines?

The best way to ensure compatibility with existing solverpy evaluation pipelines is to use this Skill's guided test writing and extension features. It aligns new test cases and benchmark setups with your current test data to maintain result reproducibility.