Why does this skill emphasize smoke tests over unit tests?

It emphasizes both, but highlights smoke tests because unit tests can pass even if the application fails to start. Smoke tests verify the app is actually usable.

What is the AAA pattern mentioned in the documentation?

AAA stands for Arrange, Act, and Assert. It is a pattern that organizes tests into three distinct steps: setting up the data, executing the code, and verifying the result.

Which programming languages does the Testing Core skill support?

The skill provides specific patterns and implementation examples for Python, TypeScript (Vitest), and Rust, but the core strategies are applicable to most modern languages.

Does this skill help with mocking external dependencies?

Yes, it provides clear guidance on when to mock (APIs, slow operations, dates) and when to use real instances to ensure test reliability.

What are the recommended test coverage targets?

The skill suggests 80%+ coverage for unit tests focusing on logic, while prioritizing critical user paths and DB operations for integration and E2E tests.

Testing Core

Name: Testing Core
Author: timequity

bytimequity

0•

Security & Testing

Implement robust cross-language testing strategies using proven patterns for unit, integration, and end-to-end testing.

Testing Core provides developers with a standardized framework for building reliable test suites across multiple programming languages including Python, TypeScript, and Rust. It emphasizes the Test Pyramid approach, balancing fast unit tests with comprehensive integration and E2E flows, while providing specific patterns for the Arrange-Act-Assert (AAA) structure and mocking external dependencies. A key highlight is its focus on critical smoke tests, ensuring that applications not only pass logic checks but are actually operational and responsive in real-world environments.

Key Features

01Critical smoke test patterns to verify application health and startup status

02Standardized AAA (Arrange-Act-Assert) test structures for cross-team consistency

03Integration testing templates for database operations and RESTful API endpoints

04Language-specific examples for Python (pytest), TypeScript (Vitest), and Rust

05Comprehensive mocking patterns for external APIs, services, and time-based logic

060 GitHub stars

Use Cases

01Establishing a high-quality testing foundation for a new software project

02Creating automated verification gates to prevent broken builds in CI/CD pipelines

03Refactoring legacy code by implementing reliable unit and integration test coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timequity/plugins testing-core

For use in Claude.ai and ChatGPT

Download Skill