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Found 1,076 Skills
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.
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 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.
Complete GitHub repository setup with production-grade standards including community health files, CI/CD workflows, issue templates, documentation site, badges, CODEOWNERS, and release management. Handles initialization, configuration, GitHub Pages deployment, and automated quality checks for professional open-source or enterprise projects.
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.
Expert guidance for Zigbee2MQTT development and configuration. Use when working with zigbee2mqtt codebase, configuration files (configuration.yaml, devices.yaml, groups.yaml), device converters, MQTT topic/payload design, or troubleshooting Zigbee device integration. Triggers on tasks involving Zigbee-to-MQTT bridge setup, device pairing workflows, converter development, and Home Assistant integration.
Train custom TTS voices for Piper (ONNX format) using fine-tuning or from-scratch approaches. Use when creating new synthetic voices, fine-tuning existing Piper checkpoints, preparing audio datasets for TTS training, or deploying voice models to devices like Raspberry Pi or Home Assistant. Covers dataset preparation, Whisper-based validation, training configuration, and ONNX export.
Migrate Terraform projects to Pulumi. Use when users need to move infrastructure from Terraform to Pulumi, translate HCL configurations, or convert Terraform modules to Pulumi components.
Use when deploying to Vercel - covers Fluid Compute (timeout issues, 60s bug), vercel.json configuration, maxDuration settings, cron jobs, environment variables (printf gotcha), monorepo setup, Next.js issues, and common build errors
Implement OpenTelemetry (OTEL) observability - Collector configuration, Kubernetes deployment, traces/metrics/logs pipelines, instrumentation, and troubleshooting. Use when working with OTEL Collector, telemetry pipelines, observability infrastructure, or Kubernetes monitoring.