Browse skills

Simulates initial user interactions to identify potential usability issues in new AI workflows.

Systematically identifies and isolates software bugs using advanced analysis and automated reproduction techniques.

Generates comprehensive test cases from requirements documents, specifications, or user stories to improve software quality.

The Tdd Guide provides a structured approach to Test-Driven Development, helping developers write better code and improve test coverage effectively.

Automates UI component testing using Vitest, ensuring visual consistency and functional correctness across updates.

The Qa Expert skill analyzes text for questions and answers, streamlining knowledge extraction and verification processes for improved accuracy.

Davila7's davila7-qa-test-planner generates comprehensive test plans from requirements documents, ensuring thorough software quality assurance.

Automates debugging Python code by identifying errors, suggesting fixes, and generating test cases based on mrgoonie's expertise.

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

Generates comprehensive test cases from requirements or user stories to ensure software quality and identify potential issues.

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

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

Analyzes application performance bottlenecks and resource usage to optimize efficiency through detailed profiling reports.

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

Automates UI tests using Vitest, ensuring Jezweb components function correctly across browsers and devices.

Automatically identifies and suggests fixes for common errors in Parcadei game code during development.

Insert temporary debugging code snippets into running programs to isolate issues and accelerate troubleshooting.

Helps with Playwright, best practices as part of testing, debugging, and quality assurance workflows.

Identifies underlying issues driving problems by analyzing data, logs, and system behavior to suggest corrective actions.

Automates visual UI regression testing, identifying unexpected changes across different versions and environments.

Evaluates AI model responses against predefined test cases to measure accuracy and identify areas for improvement.

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

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

Automates test case generation and execution from design specifications using AI, accelerating software validation.