Browse skills

Creates new database tables based on provided schema descriptions, streamlining data organization and storage.

Automatically creates Azure DevOps pull requests from specified branches based on commit messages and project configuration.

RoboNet-Tech's deploy-live-trading instantly pushes validated trading strategies to production environments for automated execution.

Automates deployment tasks following tai-ch0802's documented procedures for consistent and reliable software releases.

Automates infrastructure provisioning and application deployment using predefined templates and pipelines.

Deploys containerized applications to Kubernetes clusters using provided YAML files and configuration parameters.

Automates XFStudio application deployments across environments using pre-defined, validated procedures and configuration management.

Automates semantic versioning (SemVer) of releases, ensuring consistent and predictable software updates for improved stability and tracking.

This skill automates releasing developer skills to environments, streamlining deployments and improving DevOps workflows for faster iteration.

This "Release" skill automates deployment workflows, streamlining application releases and reducing manual errors for efficient DevOps practices.

Generates draft press releases based on provided details, streamlining communication and content creation for DevOps teams.

Proactively identifies and alerts on critical errors and anomalies in application logs using advanced pattern recognition.

Proactively detects and alerts on infrastructure anomalies using real-time metrics and logs via customizable dashboards.

Proactively identifies emerging crises across diverse data sources, alerting users to potential disruptions and risks.

Proactively detects infrastructure anomalies like high CPU usage or disk space issues, alerting you to potential problems.

This "Error Tracking" skill automatically monitors and logs application errors, providing crucial insights for rapid debugging and improved stability.

Identifies recurring error patterns in backend logs using advanced pattern recognition and provides actionable remediation suggestions.

This Error Handling skill gracefully manages and logs application errors, improving stability & debugging for robust backend systems.

Identifies and resolves common backend error patterns using predefined strategies for improved stability and resilience.

This "Error Handling" skill by mwguerra gracefully manages and logs errors in your backend code, improving stability & debugging efficiency.

The Error Detective skill identifies and explains coding errors in your code, saving you time debugging and improving understanding.

The Tdz Debugger analyzes your Tdz game code for errors and provides targeted fixes, streamlining development and resolving issues quickly.

Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.

Dotnet Csharp Nullable Reference Types — provides AI agent assistance for software development workflows.