Browse skills

Provides testing guidance and assistance for agent workflows.

Helps with testing, UI components as part of agent workflows workflows.

Provides testing guidance and assistance for software development workflows.

Automates frontend development tasks like component generation, testing, and deployment based on user specifications.

Helps with debugging, analysis as part of testing, debugging, and quality assurance workflows.

Automates browser interactions to verify website functionality, UI elements, and data accuracy across different browsers.

Simulates external system responses to verify AI agent actions without real dependencies, ensuring reliable behavior.

Identifies and suggests fixes for common errors in iulspop's generated code during testing cycles.

Linux Pentesting Command Reference — provides AI agent assistance for software development workflows.

Provides testing guidance and assistance for software development workflows.

Provides testing guidance and assistance for software development workflows.

Provides testing guidance and assistance for software development workflows.

Helps with testing, code generation as part of testing, debugging, and quality assurance workflows.

Helps with data, client-side, Vue as part of building frontend UIs and user experiences workflows.

Helps with data, client-side, React as part of building frontend UIs and user experiences workflows.

Helps with Python, testing, patterns as part of developing backend services and APIs workflows.

Quickly identifies and extracts key UI elements and data from webpages for automated testing and analysis.

Helps with testing, patterns as part of testing, debugging, and quality assurance workflows.

Helps with frontend development, testing as part of testing, debugging, and quality assurance workflows.

Automates local development workflows, streamlining setup, testing, and deployment based on project configurations.

This AI generates test cases automatically based on requirements, accelerating testing and ensuring comprehensive coverage for better software quality.

Analyzes code coverage data to identify gaps in testing and pinpoint areas needing more thorough examination for improved software quality.

Automates git pre-commit checks like linting, formatting, and testing to ensure code quality before commits.

Logs detailed test output from .NET tests (MSTest, xUnit, NUnit) for improved debugging and analysis.