Browse skills

Helps with Cypress, code explanation as part of software development workflows workflows.

Provides testing guidance and assistance for software development workflows.

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

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

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

Provides best practices guidance and assistance for software development workflows.

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

Provides debugging guidance and assistance for software development workflows.

Codex Qa — provides AI agent assistance for software development workflows.

Provides testing guidance and assistance for software development workflows.

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

Provides testing guidance and assistance for software development workflows.

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

Helps with testing, analysis as part of software development workflows workflows.

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

Phpunit — provides AI agent assistance for software development workflows.

Helps with performance optimization, optimization as part of building frontend UIs and user experiences workflows.

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

Detects memory leaks in code to identify and fix issues causing performance degradation or application crashes – crucial for stability.

Automatically generates and executes unit tests using popular frameworks like pytest and JUnit based on code context.

Automatically identifies and fixes common errors in Tuist-generated Swift projects during build processes.

Quickly identifies and suggests fixes for bugs in job scripts using automated analysis and code suggestions.

Simulates extreme user loads and data conditions to identify system vulnerabilities and performance bottlenecks.

Run Tests — provides AI agent assistance for software development workflows.