Browse skills

Provides creation guidance and assistance for software development workflows.

Provides debugging guidance and assistance for software development workflows.

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

Provides testing guidance and assistance for software development workflows.

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.

Xunit Skill — provides AI agent assistance for software development workflows.

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

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.

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

Provides backend development guidance and assistance for software development workflows.

Automates repetitive test case execution and data validation within Autumnsgrove's Grove environment.

Helps with Swift, testing as part of building frontend UIs and user experiences workflows.

Identifies and suggests fixes for code errors using advanced static analysis and targeted test case generation.

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

Automates complex Cypress tests, handles dynamic content, and optimizes execution for robust web application validation.

Automatically re-runs previously failed test cases to verify fixes and prevent regressions.

Automatically generates well-formatted bug reports with context from conversations and system data.

Automatically identifies and suggests fixes for failing test cases based on code changes and error messages.

Pytest Advanced streamlines complex test setup & teardown, boosting efficiency and reliability in your pytest projects.

Automates test case generation, execution, and analysis based on requirements for cin12211 projects.

This AI designs test cases based on your requirements, streamlining the testing process and ensuring comprehensive coverage for improved software quality.

Analyzes code errors from provided files to suggest fixes and pinpoint root causes for faster debugging.