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Found 1,636 Skills
Implement Syncfusion React Linear Gauge for displaying measurements on a linear scale. Use this skill when users need temperature sensors, KPI indicators, progress gauges, or real-time monitoring dashboards. Covers axes configuration, pointer types, ranges, annotations, customization, animations, print/export, accessibility, and internationalization.
Implements the Syncfusion React 3D Circular Chart component for pie and donut chart visualization. Use this when users need 3D circular charts, data labels, legends, tooltips, or empty point handling. Guides through installation, configuration, customization, and troubleshooting of 3D Circular Charts in React applications.
Use when working with Build.cs, Target.cs, module creation, plugin setup, or build errors in Unreal Engine — including "unresolved external symbol," "cannot open include file," IWYU violations, missing API macros, or dependency configuration. See also ue-cpp-foundations for UObject macro patterns.
Use when writing Unreal Engine C++ code involving UPROPERTY, UFUNCTION, UCLASS, TArray, TMap, delegates, FString, garbage collection, or smart pointers. Also use when the user asks about "UE C++", USTRUCT, UENUM, FName, FText, TObjectPtr, TWeakObjectPtr, UObject lifetime, UE_LOG, or UE subsystems. For module build configuration, see ue-module-build-system. For Actor/Component architecture, see ue-actor-component-architecture.
Expert in Docker, docker-compose, Dockerfile patterns, and container orchestration for NestJS and Next.js applications. Use this skill when users need Docker setup, containerization, or docker-compose configuration.
Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.
Debug Scikit-learn issues systematically. Use when encountering model errors like NotFittedError, shape mismatches between train and test data, NaN/infinity value errors, pipeline configuration issues, convergence warnings from optimizers, cross-validation failures due to class imbalance, data leakage causing suspiciously high scores, or preprocessing errors with ColumnTransformer and feature alignment.
Debug NestJS issues systematically. Use when encountering dependency injection errors like "Nest can't resolve dependencies", module import issues, circular dependencies between services or modules, guard and interceptor problems, decorator configuration issues, microservice communication errors, WebSocket gateway failures, pipe validation errors, or any NestJS-specific runtime issues requiring diagnosis.
Debug Django web applications with systematic diagnostic approaches. This skill covers troubleshooting Django-specific errors including TemplateDoesNotExist, ImproperlyConfigured, IntegrityError, migration conflicts, CSRF failures, N+1 query problems, and circular imports. Includes Django Debug Toolbar setup, ORM query logging, pdb/ipdb usage, shell_plus debugging, and comprehensive logging configuration. Provides four-phase methodology for root cause analysis and regression prevention.
Refactor Kubernetes configurations to improve security, reliability, and maintainability. This skill applies defense-in-depth security principles, proper resource constraints, and GitOps patterns using Kustomize or Helm. It addresses containers running as root, missing health probes, hardcoded configs, and duplicate YAML across environments. Apply when you notice security vulnerabilities, missing Pod Disruption Budgets, or :latest image tags in production.
Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query problems, configuration binding failures, authentication/authorization issues, and startup failures. Includes Visual Studio and VS Code debugging, dotnet-trace, dotnet-dump, dotnet-counters tools, Serilog configuration, Application Insights integration, and four-phase debugging methodology.