Skill UI

A comprehensive guide for building production-quality Android applications using Jetpack Compose. This skill covers modern architectural patterns (MVVM/MVI), robust state management with StateFlow, optimized UI rendering, type-safe navigation setup, and performance best practices (e.g., recomposition control). Use this skill when developing complex, modern Android user interfaces.

A comprehensive guide for building production-quality Android applications using Jetpack Compose. This skill covers modern architectural patterns (MVVM/MVI), robust state management with StateFlow, optimized UI rendering, type-safe navigation setup, and performance best practices (e.g., recomposition control). Use this skill when developing complex, modern Android user interfaces.

This skill provides optimal best practices and patterns for building ViewModels, Wizards, and managing complex navigation flows in Avalonia applications. It leverages the power of ReactiveUI for functional state management and Zafiro for structured command handling, ensuring the creation of robust, maintainable, and scalable MVVM architectures.

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.

Guides engineers through DeepSpeed distributed training and NVMe I/O optimizations, covering ZeRO, pipeline parallelism, mixed precision, and DeepNVMe handles for synchronous and asynchronous tensor storage.

Provides deep expertise in analyzing DWARF v3-v5 debug files, verifying their integrity through llvm-dwarfdump, and helping parse or write code that interacts with DWARF data for more reliable debugging toolchains.

This runbook provides a structured guide for responding to critical Guidewire production incidents. It covers the entire lifecycle of incident management, including initial triage (checking monitoring, API errors, and batch logs), diagnosing performance degradation (JVM metrics and query performance), implementing mitigation steps, and proper escalation procedures to Guidewire Support.

This skill provides comprehensive guidance on optimizing Guidewire application performance. It covers advanced development techniques such as optimizing Gosu queries using the Query API, implementing efficient batch processing with BatchProcessBase, implementing caching strategies for frequently accessed reference data, and performing JVM heap tuning via the Guidewire Cloud Console (GCC). Use this when system performance bottlenecks are detected in Guidewire insurance or core business platforms.

An expert guide for building scalable, cloud-native enterprise applications using the latest Java 21+ features, including Virtual Threads and Pattern Matching. Deep mastery of the Spring Boot 3.x ecosystem, Spring Cloud, and microservices architecture. Covers full development lifecycle, from JVM performance tuning (GraalVM, ZGC) to robust testing (Testcontainers) and secure DevOps practices (Kubernetes, CI/CD).

LibFuzzer is LLVM’s in-process coverage-guided fuzzer for C/C++ projects compiled with Clang, providing a quick harness-based setup that can later transition to more advanced fuzzers while maintaining reproducible, high-throughput testing.

Mastery of modern mobile development across multiple platforms, including React Native, Flutter, and native iOS/Android. Expertise covers the entire lifecycle, specializing in architectural patterns (Clean, MVVM), performance optimization, offline-first data synchronization (GraphQL, SQLite), advanced DevOps practices (CI/CD, Fastlane), and App Store Optimization (ASO). Ideal for building robust, scalable, and highly performant cross-platform applications.

This comprehensive guide provides a detailed framework for optimizing spending across Replit services. Learn how to conduct a thorough billing audit, right-size deployment resources (Autoscale vs. Reserved VM), manage data egress costs, optimize team seat licenses, and clean up idle resources. Essential for controlling cloud spending and ensuring efficient resource allocation in any development workflow.