Image Processing

Use when optimizing React Native app performance. Covers FlatList optimization, memoization, image optimization, bundle size reduction, and profiling techniques.

Use when C# nullable reference types and value types for null safety, nullable annotations, and patterns for handling null values.

Use when building React Native UI components with core components, custom components, and component patterns. Covers View, Text, Image, ScrollView, FlatList, and component composition.

Performs comprehensive on-page SEO audits to identify optimization opportunities including title tags, meta descriptions, headers, content quality, internal linking, and image optimization.

Build full-stack web applications powered by Google Gemini's Nano Banana & Nano Banana Pro image generation APIs. Use when creating Next.js image generators, editors, galleries, or any web app that integrates gemini-2.5-flash-image or gemini-3-pro-image-preview models. Covers React components, server actions, API routes, storage, rate limiting, and production deployment patterns.

Skill for creating and editing Youtube thumbnails that are optimized for click-through rate. This skill should not be used directly, instead use the Thumbnail Designer subagent who can also invoke this skill. Use when the user asks to create a thumbnail from scratch or edit an existing thumbnail.

Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.

Generate AI content (images, videos, audio) using YAML pipelines with 28+ models. Run tests, estimate costs, and manage outputs.

Create optimized Docker containers with multi-stage builds, security best practices, and minimal image sizes. Use when containerizing applications, creating Dockerfiles, optimizing container images, or setting up Docker Compose services.

Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.

Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow

Optimize images for web to reduce file size without sacrificing quality. Use compression, modern formats, and responsive techniques for faster loading.

Docker container management and image creation. Use when building Docker images, running containers, managing container networks, or creating containerized development environments.

Creating Dockerfiles for containerized builds. Use when generating container images for development or deployment.

Virtual machine configuration for QEMU. Use when setting up VMs, configuring resources, or managing disk images.

Portfolio analytics including Value at Risk (VaR), Conditional VaR, Sharpe ratio, volatility, and return calculations. Use when analyzing investment performance, measuring portfolio risk exposure, computing expected returns, calculating correlation matrices, or optimizing asset allocation. Implements both parametric and historical risk models.

Container runtime and image building. Use when creating Dockerfiles, docker-compose files, or container configurations.

QEMU ARM emulation for running ARM binaries and system images on x86 hosts. Use when emulating ARM architecture, running ARM Linux kernels, testing ARM binaries, or creating ARM development environments.

Create and manipulate Microsoft Word documents programmatically using python-docx. Use when generating Word reports, creating templated documents, producing editable business documents, or building DOCX files with tables and images.

Expert C# developer specializing in modern .NET development, ASP.NET Core, and cloud-native applications. Masters C# 12 features, Blazor, and cross-platform development with emphasis on performance and clean architecture.