Which testing frameworks does this skill support?

Test Generator is framework-agnostic and can generate code for Jest, pytest, Mocha, JUnit, and other popular libraries by following the conventions found in your project.

Can it handle complex edge cases and error handling?

Yes, the skill specifically analyzes code for null values, empty inputs, boundary conditions, and exception scenarios to ensure robust test coverage beyond just the happy path.

Does it automatically mock external dependencies?

Yes, it identifies external calls and dependencies, generating appropriate mocks to ensure that tests remain isolated, fast, and deterministic.

Does the generated code follow the AAA pattern?

Absolutely. The skill is designed to follow the Arrange-Act-Assert pattern, ensuring that tests are structured logically and are easy for other developers to read.

How does it know which naming conventions to use?

The skill analyzes your existing codebase and project structure to match your specific naming conventions, such as describe/it blocks or test_ prefixing.

Test Generator

Name: Test Generator
Author: lexicalninja

bylexicalninja

보안 및 테스팅

Generates comprehensive unit and integration test suites that cover edge cases and follow project-specific testing standards.

소개

Test Generator is a specialized Claude Code skill designed to streamline the software quality assurance process by automatically creating robust, production-ready test suites. It analyzes source code to identify critical test scenarios—including happy paths, boundary conditions, and exception handling—and produces framework-compliant code for popular tools like Jest, pytest, and Mocha. By automating the boilerplate of test creation and ensuring adherence to the AAA (Arrange, Act, Assert) pattern, this skill helps developers maintain high code coverage and reliability with minimal manual effort.

주요 기능

Automatic identification of happy paths, edge cases, and error conditions
Enforces testing best practices and standardized naming conventions
Produces independent, deterministic, and well-organized test files
0 GitHub stars
Support for multiple frameworks including Jest, pytest, Mocha, and JUnit
Generates mocked dependencies and setup/teardown logic automatically

사용 사례

Expanding test coverage for legacy codebases by identifying missed edge cases
Generating comprehensive unit tests for new Python or JavaScript functions
Standardizing testing patterns and mocking strategies across a distributed team

소개

주요 기능

Automatic identification of happy paths, edge cases, and error conditions
Enforces testing best practices and standardized naming conventions
Produces independent, deterministic, and well-organized test files
0 GitHub stars
Support for multiple frameworks including Jest, pytest, Mocha, and JUnit
Generates mocked dependencies and setup/teardown logic automatically

사용 사례

Expanding test coverage for legacy codebases by identifying missed edge cases
Generating comprehensive unit tests for new Python or JavaScript functions
Standardizing testing patterns and mocking strategies across a distributed team