Browse skills

Verify UI element states against baseline snapshots to quickly detect visual regressions during development.

Identifies and suggests fixes for errors in siviter-xyz code through automated analysis and targeted debugging techniques.

Designs statistically sound A/B tests, specifying metrics, sample sizes, and hypotheses for data-driven optimization.

Automatically generates detailed debugging steps and logs based on error messages to aid in troubleshooting.

Analyzes AI output errors to identify patterns, root causes, and suggest targeted improvements for enhanced performance.

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

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

Generates comprehensive test plans and QA checklists based on requirements documents, ensuring thorough software testing.

This tool automatically compares screenshots of UI changes, quickly identifying visual regressions and saving valuable testing time.

Automates Vitest tests, ensuring JavaScript component functionality aligns with specified features and expectations.

Systematically identifies and suggests fixes for software bugs using advanced code analysis and automated testing techniques.

This Pytest Optimizer analyzes your tests & suggests improvements for faster execution and better code coverage – boosting efficiency!

Speeds up Playwright CI runs by caching browser downloads and test artifacts, reducing setup time significantly.

Generates mutation test cases based on code changes to identify weaknesses in unit tests.

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

Automatically generates test cases, identifies bugs, and validates software functionality based on requirements and specifications.

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

Automatically generates load test scripts from API specifications, streamlining performance testing workflows.

Analyzes log files to extract key information and identify potential issues, streamlining troubleshooting and diagnostics.

Automatically identifies and suggests fixes for common coding errors in Python scripts based on mhattingpete's testing methodology.

Automatically generates comprehensive unit tests from code to ensure quality and identify potential bugs.

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

Automates ATF compliance testing workflows, verifying adherence to regulations and generating detailed audit reports.

Troubleshoot Kubernetes deployments using kubectl commands, analyze logs, and identify errors with automated debugging assistance.