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Found 7,552 Skills
Debug Next.js issues systematically. Use when encountering SSR errors, hydration mismatches like "Text content did not match", routing issues with App Router or Pages Router, build failures, dynamic import problems, API route errors, middleware issues, caching and revalidation problems, or performance bottlenecks. Covers both Pages Router and App Router architectures.
Refactor PHP/Laravel code to improve maintainability, readability, and adherence to best practices. This skill transforms code using modern PHP 8.3+/8.4+ features like property hooks and typed constants, Laravel 11+ patterns including Actions and simplified structure, and SOLID principles. It addresses fat controllers, code duplication, N+1 queries, and missing type declarations. Apply when you notice business logic in controllers or legacy PHP patterns.
Refactor Scikit-learn and machine learning code to improve maintainability, reproducibility, and adherence to best practices. This skill transforms working ML code into production-ready pipelines that prevent data leakage and ensure reproducible results. It addresses preprocessing outside pipelines, missing random_state parameters, improper cross-validation, and custom transformers not following sklearn API conventions. Implements proper Pipeline and ColumnTransformer patterns, systematic hyperparameter tuning, and appropriate evaluation metrics.
Teaches the assistant how to embed and execute external binaries (sidecars) in Tauri applications, including configuration, cross-platform executable naming, and Rust/JavaScript APIs for spawning sidecar processes.
Expert backend development covering API design, database architecture, microservices, message queues, caching, and system scalability.
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.
Debug FastAPI applications systematically with this comprehensive troubleshooting skill. Covers async/await issues, Pydantic validation errors (422 responses), dependency injection failures, CORS configuration problems, database session management, and circular import resolution. Provides structured four-phase debugging methodology with FastAPI-specific tools including uvicorn logging, OpenAPI docs, and middleware debugging patterns.
Refactor Flask code to improve maintainability, readability, and adherence to best practices. This skill transforms Flask applications using the application factory pattern, Blueprint organization, and service layer separation. It addresses fat route handlers, missing error handling, improper context local usage, and security issues. Apply when you notice global app instances, routes without Blueprints, business logic in handlers, or missing CSRF protection.
This skill guides systematic code refactoring following the DRY (Don't Repeat Yourself) principle. Use it when users request to eliminate code duplication, refactor repetitive code, apply the DRY principle, or mention code smells like copy-paste code, magic numbers, or repeated logic. It implements a 4-step workflow from identifying repetition to verified refactoring.
Debug Express.js and Node.js applications with systematic diagnostic techniques. This skill provides comprehensive guidance for troubleshooting middleware execution issues, routing problems, CORS errors, async error handling, memory leaks, and unhandled promise rejections. Covers DEBUG environment variable usage, Node Inspector with Chrome DevTools, VS Code debugging, Morgan request logging, and diagnostic middleware patterns. Includes four-phase debugging methodology and common error message reference.
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.