Skill UI

AddressSanitizer accelerates fuzz testing by instrumenting C/C++ and unsafe Rust code to detect buffer overflows, use-after-free, and related memory corruption bugs at runtime, with configurable ASAN_OPTIONS for verbosity, abort behavior, and leak control.

Automatically detects and loads specialized agent instructions from the `AGENTS.md` file in the current working directory. This skill seamlessly integrates project-specific rules and behavioral guidelines into the AI's session context, ensuring the AI operates according to project standards without manual intervention. It is crucial for maintaining specialized agent behaviors across different development tasks and directory changes.

A comprehensive framework for rigorously testing and benchmarking LLM agents. It moves beyond simple pass/fail checks to assess complex behaviors, reliability metrics, and capability consistency across multiple runs. Ideal for production monitoring and identifying subtle failure modes in advanced AI agents.

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

An expert framework for creating realistic API mock services. It simulates real API behavior and contracts, enabling developers to build and test frontend components or integration workflows in parallel, even before the actual backend service is complete. Ideal for testing, demo environments, and validating API contracts.

A comprehensive guide detailing best practices for creating modern, clean, and highly maintainable user interfaces using Avalonia and Zafiro.Avalonia. It emphasizes leveraging semantic containers, defining shared styles, and utilizing generic components to dramatically reduce XAML redundancy and improve code structure. Learn to adopt patterns like Behaviors over Converters, and prevent deep nesting for optimal developer experience.

This SDK provides a comprehensive solution for centralized application configuration management in Azure. It allows developers to store, manage, and dynamically refresh application settings, including implementing feature flags and integrating secrets from Azure Key Vault. By decoupling configuration from code, teams can modify application behavior and deploy features without requiring service redeployment.

This SDK provides a comprehensive solution for centralized application configuration management in Azure. It allows developers to store, manage, and dynamically refresh application settings, including implementing feature flags and integrating secrets from Azure Key Vault. By decoupling configuration from code, teams can modify application behavior and deploy features without requiring service redeployment.

This skill defines structured behavioral frameworks (e.g., Brainstorm, Implement, Debug, Review, Teach, Ship) to guide the AI's output and approach based on the specific task phase. It optimizes performance by ensuring the AI adopts the correct mindset and output format—from initial ideation to final deployment—guaranteeing systematic, high-quality results across the entire development lifecycle.

Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.

A comprehensive runbook for handling CodeRabbit service outages or malfunctions. It provides step-by-step procedures for quick triage, emergency bypasses (P1), checking installation health (P2), diagnosing delays (P3), and tuning incorrect review behavior (P4). Essential for maintaining continuous CI/CD workflows when the review bot fails.