Browse skills

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

Provides testing guidance and assistance for agent workflows.

Provides testing guidance and assistance for agent workflows.

Provides testing guidance and assistance for agent workflows.

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

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

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

Diagnose and resolve network connectivity issues by analyzing logs, pings, and traceroutes across connected devices.

Helps with testing, data, code generation as part of testing, debugging, and quality assurance workflows.

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.

Ensures consistent, informative, and actionable logging following aj-geddes's established best practices for debugging and monitoring.

Automates Android UI tests on emulators/devices, verifying functionality and identifying regressions with detailed reports.

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

Analyzes user behavior to dynamically adjust AI model parameters for personalized and efficient task completion.

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

Inspects internal state & execution flow of jaganpro agents to diagnose issues during test runs.

Automatically generates code mutations to identify gaps in test suite coverage and improve software reliability.

Automates pytest test creation using common patterns like data-driven tests, fixtures, and parametrization for efficient testing.

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

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

This skill generates step-by-step troubleshooting guides for common issues, quickly resolving problems and saving users time & frustration.

Automatically runs tests on code changes, providing immediate feedback to developers and ensuring quality.