Skill UI

This skill defines the mandatory conventions and architectural rules for developing maintainable, cross-platform applications using Avalonia UI and the Zafiro toolkit. It enforces a functional-reactive MVVM approach, prioritizing explicit error handling via Result types, and mandates leveraging Zafiro's existing abstractions to ensure code quality and predictability.

This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

A comprehensive skill for analyzing AWS spending patterns and identifying areas of waste. It provides actionable strategies to reduce cloud costs by detecting idle resources (like unattached EBS volumes or unused Elastic IPs), recommending Reserved Instances, and generating reports using AWS CLI and Cost Explorer data.

Automate the rotation of sensitive credentials, including RDS database passwords, API keys, and OAuth tokens, using AWS Secrets Manager and Lambda. This skill ensures secure credential lifecycle management, helping maintain system security and compliance by automatically updating credentials for various AWS and third-party services.

This comprehensive skill provides a security posture assessment for AWS environments. It uses AWS CLI commands to audit critical security areas, including IAM policy review, network security groups, data encryption status (EBS, S3, RDS), and logging mechanisms (CloudTrail, VPC Flow Logs). Use this to proactively identify misconfigurations and ensure adherence to security best practices and compliance standards.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

This skill provides comprehensive scripts and workflows to automatically identify and remove unused AWS resources across multiple services (EBS, S3, EC2, EIPs). By automating the cleanup of orphaned volumes, old snapshots, and stale data, users can eliminate cloud waste, significantly optimizing their AWS expenditure and ensuring a cost-efficient infrastructure.

A comprehensive SDK guide for managing Azure MySQL Flexible Server deployments using C# and the .NET framework. This skill provides workflows for automated resource management, including server creation, database provisioning, configuring firewall rules, tuning server parameters, and integrating Entra ID (Azure AD) for robust security and operational control.

BusyBox is a single, portable binary that implements a vast collection of common Unix utilities (such as ls, grep, sed, etc.). This skill allows users to run standard Unix command-line tools directly within a Windows environment, solving compatibility issues for developers and system administrators who rely on cross-platform scripting. It provides necessary Unix functionality without requiring a full Linux subsystem.

A specialized skill for writing highly efficient, memory-safe, and robust C code. This guide focuses on best practices for systems programming, including rigorous memory management (malloc/free), advanced pointer arithmetic, POSIX compliance, multi-threading (pthreads), and embedded systems constraints. It emphasizes using static analysis tools, implementing comprehensive error handling, and ensuring performance through proper profiling. Ideal for complex, low-level system tasks.

This skill specializes in generating expert-level, component-level architecture documentation based on the C4 Model. It synthesizes low-level code documentation into a high-level view, clearly defining component boundaries, service interfaces (REST, GraphQL, etc.), and inter-component dependencies. Ideal for documenting complex software systems and creating accurate Mermaid C4 Component diagrams.