testing-core

Name: testing-core
Availability: InStock
Author: timequity

Standardize unit, integration, and E2E testing patterns across Python, TypeScript, and Rust.

6|Updated Dec 7, 2025

Search Tags:#testing #e2e #integration-test #unit-test #mocking

Ready to run

npx skills add https://github.com/timequity/plugins --skill testing-core

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: testing-core
Source: https://github.com/timequity/plugins/tree/main/vibe-coder/skills/testing-core
Command: npx skills add https://github.com/timequity/plugins --skill testing-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides cross-language testing patterns and best practices for unit, integration, and E2E tests.

Core Features & Use Cases

Test Pyramid guidance
AAA structure, mocking patterns, and fixtures
Language-specific examples (Python, TypeScript, Rust)

Quick Start

Use the included references to start building tests and adopt a consistent approach.

Frequently Asked Questions about testing-core

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

FAQPage Schema

How do I structure unit tests to follow best practices across Python, TypeScript, and Rust?▼

Unit tests should follow the AAA structure: Arrange (set up test data), Act (execute the code), and Assert (verify results). This pattern works consistently across Python, TypeScript, and Rust, ensuring clear, maintainable tests that are easy to read and debug.

What's the best way to implement mocking in integration tests?▼

Mocking isolates components by replacing external dependencies with controlled substitutes. Use fixtures and factories to manage mock state, allowing you to test interactions between components without relying on real services or databases.

How do I improve test coverage with fixtures and factories?▼

Fixtures provide reusable test data and setup, while factories generate objects dynamically. Together they reduce duplication, ensure consistent test data, and make it easier to scale test coverage across unit, integration, and E2E scenarios.

When should I use E2E tests versus unit and integration tests?▼

E2E tests validate complete user workflows end-to-end, integration tests verify component interactions, and unit tests isolate individual functions. The test pyramid recommends many unit tests, fewer integration tests, and minimal E2E tests for efficient coverage.

Can I apply consistent naming conventions for tests across different programming languages?▼

Yes. Standardized naming conventions—like describing what is tested, the condition, and the expected result—improve readability across Python, TypeScript, and Rust. Consistent patterns make tests self-documenting and maintainable.

What are the limitations of cross-language testing patterns?▼

Language-specific syntax and test frameworks vary, requiring adaptation of core patterns to each language's idioms. Some advanced mocking or fixture techniques may not translate directly, requiring familiarity with each ecosystem's testing libraries.