Browse skills

Automates Git commit creation with pre-defined templates and descriptions based on task context for streamlined backend workflows.

This skill automatically checks if a pull request contains a GitHub issue reference, ensuring proper context and linking.

Creates isolated Git worktrees for experimentation without affecting the main repository.

Identifies and suggests fixes for common error handling patterns in microck backend services, improving resilience.

Helps with API, authentication as part of software development workflows workflows.

Helps with API, authentication as part of software development workflows workflows.

Dotnet Roslyn Analyzers — provides AI agent assistance for software development workflows.

Provides backend development guidance and assistance for software development workflows.

Designs scalable, resilient, and efficient backend architectures leveraging cloud technologies and best practices for complex applications.

Provides API guidance and assistance for agent workflows.

Helps with AI, TypeScript as part of software development workflows workflows.

Helps with Git, Next.js as part of software development workflows workflows.

Provides Java guidance and assistance for software development workflows.

Master GitHub Copilot CLI commands to automate code generation, refactoring, and project setup with expert efficiency.

This AI leverages a Rails expert's knowledge to provide detailed guidance and solutions for your Ruby on Rails development challenges.

Helps with UX design, patterns as part of agent workflows workflows.

Provides auditing guidance and assistance for software development workflows.

Provides JavaScript guidance and assistance for software development workflows.

Automates ML experiment tracking, model management, and deployment using Python's mlflow library.

Context7 — provides AI agent assistance for software development workflows.

Automates code review focusing on specification adherence, identifying deviations and suggesting improvements based on provided specs.

Diagnose and fix full-stack application errors, identifying root causes across frontend, backend, and database layers.

Automatically generates detailed code review requests based on specifications, improving test coverage and quality.

Refactors complex QA test code into cleaner, more maintainable functions using best practices and improved readability.