Does this skill execute my tests automatically?

No, the TDD Guide performs static analysis and code generation. You will still need to run the generated tests using your local test runner like Jest or Pytest.

How does it handle complex mocking and fixtures?

The skill includes a dedicated fixture generator that creates realistic test data and mock objects based on your existing code patterns and API specifications.

Which programming languages are supported?

The skill provides first-class support for TypeScript, JavaScript, Python, and Java, including their most popular testing frameworks and runners.

Can I use this for existing projects with low coverage?

Yes, you can provide existing coverage reports (LCOV, JSON, XML) and the skill will identify gaps and generate the specific tests needed to improve your coverage.

Is it compatible with CI/CD pipelines?

Yes, the skill can produce machine-readable JSON output for metrics and coverage analysis, making it suitable for integration into automated build and review processes.

TDD Guide for Engineering Teams

Name: TDD Guide for Engineering Teams
Author: alirezarezvani

byalirezarezvani

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1,039

Security & Testing

Accelerates Test Driven Development by generating test cases from requirements, analyzing coverage, and providing cross-framework testing support.

About

The TDD Guide skill is an intelligent companion for engineers following Test Driven Development practices, offering a streamlined workflow from requirements to production-ready code. It bridges the gap between business logic and executable tests by automatically generating stubs, fixtures, and comprehensive test suites across major languages like TypeScript, Python, and Java. Beyond code generation, the skill provides deep coverage analysis and quality scoring to identify untested edge cases and cognitive complexity issues, ensuring robust software delivery while maintaining high standards for test isolation and maintainability.

Key Features

Multi-framework support for Jest, Pytest, JUnit, and Vitest
1,039 GitHub stars
Automated test quality scoring and edge case identification
Intelligent test generation from user stories and API specifications
Step-by-step Red-Green-Refactor workflow guidance and validation
Advanced coverage analysis for LCOV, JSON, and XML reports

Use Cases

Migrating existing test suites between different testing frameworks such as Jest to Pytest
Generating comprehensive test suites for new features based on business requirements
Analyzing legacy codebases to identify coverage gaps and suggest prioritized test additions

About

Key Features

Multi-framework support for Jest, Pytest, JUnit, and Vitest
1,039 GitHub stars
Automated test quality scoring and edge case identification
Intelligent test generation from user stories and API specifications
Step-by-step Red-Green-Refactor workflow guidance and validation
Advanced coverage analysis for LCOV, JSON, and XML reports

Use Cases

Migrating existing test suites between different testing frameworks such as Jest to Pytest
Generating comprehensive test suites for new features based on business requirements
Analyzing legacy codebases to identify coverage gaps and suggest prioritized test additions