Skill UI

This skill provides design patterns for constructing autonomous coding agents. It covers essential architectures like agent loops and multi-model strategies, along with tool integration schemas and permission systems. Ideal for developers building AI assistants, designing function calling APIs, or implementing human-in-the-loop workflows to enhance agent capabilities and reliability.

This skill covers designing reliable autonomous AI systems that independently decompose goals, plan actions, and execute tools. It focuses on agent loops like ReAct and Plan-Execute, goal decomposition, reflection patterns, and ensuring production reliability. Key insight is managing compounding error rates where high per-step success rates drop significantly over multiple steps.

This skill provides guidelines for creating modern and maintainable Avalonia UI layouts using Zafiro.Avalonia. It emphasizes semantic containers, shared styles, and minimizing XAML redundancy. Users learn to avoid anti-patterns like hardcoded colors or deep nesting, instead utilizing behaviors and generic components for cleaner code.

This skill provides best practices for creating ViewModels and Wizards in Avalonia applications using Zafiro and ReactiveUI. It covers functional-reactive approaches, enhanced command management, wizard patterns for complex flows, automatic section discovery, and clean composition for dependency injection. Refer to the Angor project for real-world examples of implementation.

This skill outlines mandatory conventions and behavioral rules for developing cross-platform applications using Avalonia UI and the Zafiro toolkit. It emphasizes a functional-reactive MVVM approach, explicit error handling with Result types, and cross-platform independence. Developers should prioritize Zafiro abstractions, use DynamicData pipelines, and follow strict naming standards to ensure maintainability and correctness in UI development.

Audit and rewrite content to remove AI writing patterns, with detect-only, in-place editing, voice profiles, and optional convergence passes.

Provides step-by-step techniques for assessing AWS security, covering IAM enumeration, privilege escalation, SSRF metadata attacks, S3/Lambda exploitation, and red-team persistence workflows with recommended tools and commands.

Build production-ready serverless applications on AWS using Lambda, API Gateway, and DynamoDB. Covers event-driven patterns with SQS/SNS, SAM/CDK deployment, and cold start optimization for scalable backend services.

Master expert patterns for Azure Functions development, covering isolated worker models, Durable Functions orchestration, and cold start optimization. Supports .NET, Python, and Node.js programming models. Learn production-ready patterns and avoid common anti-patterns like blocking async calls or creating new HttpClient per request. Essential for serverless architecture implementation.

This skill empowers you to design scalable and resilient backend systems. It covers API design patterns like REST, GraphQL, and gRPC, as well as microservices architecture, event-driven systems, and security protocols. Ideal for defining service boundaries, planning observability, and ensuring maintainability in distributed environments.

Comprehensive guide for building Node.js/Express/TypeScript microservices. Covers layered architecture, controllers, services, repositories, middleware, and error handling. Includes best practices for validation with Zod, database access with Prisma, and error tracking with Sentry. Ensures consistency across backend projects.

Generate comprehensive API handoff documentation for frontend developers after backend completion. Includes endpoints, DTOs, validation rules, business logic, and edge cases to enable seamless UI integration without backend queries.