Browse skills

This skill provides a deliberately slow and cumbersome implementation of actions, useful for testing responsiveness or simulating realistic delays.

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

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

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

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

Systematically identifies and resolves software bugs through automated analysis, root cause identification, and suggested fixes.

Automatically identifies and suggests fixes for code errors in Python, JavaScript, and Java projects.

Systematically identifies and resolves software bugs through automated analysis, reproduction, and targeted fix suggestions.

Automated debugging assistance leveraging code analysis and error pattern recognition for faster issue resolution.

Identifies and resolves errors in language model configuration files, ensuring optimal performance and stability.

This skill allows you to temporarily circumvent website whitelists for testing or debugging purposes, offering valuable flexibility.

Automatically generates Jest unit tests from JavaScript code, streamlining development and improving test coverage.

Automates web application testing workflows, identifying functional bugs and usability issues across diverse browsers and devices.

This Troubleshooting Assistant helps users diagnose and resolve technical issues quickly by offering step-by-step guidance and solutions.

Automates test case generation, execution, and reporting based on requirements, boosting QA efficiency.

Automatically generates unit tests based on code context and specified criteria, improving test coverage and developer efficiency.

This skill automatically classifies errors based on their type, streamlining debugging and troubleshooting efforts for faster issue resolution.

This "Error Recovery" skill automatically attempts to fix common errors in your code, saving you time and frustration by streamlining debugging.

Automatically identifies and suggests fixes for common coding errors in Python projects.

This Notebook Debugger helps identify and fix errors in your Jupyter notebooks by stepping through code execution and inspecting variables – boosting debugging efficiency.

Automatically identifies, fixes, and debugs code errors based on provided error messages and context.

Orchestrates parallel debugging sessions across multiple environments, accelerating test iteration and root cause analysis.

Inspects v1-io data input/output streams to identify errors and bottlenecks during testing workflows.

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