Skill UI

This skill provides curated guidance for building high-performance animations in Expo and React Native. It covers hard rules for animation necessity, tool selection like Reanimated 4, and performance optimization for real devices. Use this when implementing motion that survives strict reviews on actual hardware, focusing on worklets, UI runtime, and gesture handling.

Master building high-performance asynchronous APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2. Covers microservices, WebSockets, security, testing, and deployment strategies for production-ready Python backend systems. Includes async patterns, database optimization, and observability.

Expert in handling file uploads and cloud storage solutions like S3 and Cloudflare R2. Covers presigned URLs, multipart uploads, and image optimization. Ensures security by validating file types and preventing path traversal attacks. Optimizes performance for large files without blocking.

This skill enables building production-ready serverless applications on Google Cloud Platform using Cloud Run. It covers containerized services, event-driven functions, cold start optimization, and Pub/Sub integration. Includes guidance on memory management, concurrency settings, and scaling bottlenecks to ensure efficient deployment and cost control.

This skill covers deploying and managing virtual machines on Google Cloud Platform using Compute Engine. It includes creating instance templates, configuring managed instance groups for auto-scaling, and utilizing preemptible or spot VMs for cost optimization. Users will learn to provision GPU instances, manage snapshots, and apply startup scripts via gcloud CLI commands for production workloads.

Audit and optimize websites for platform-specific AI search engines including Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot. Provides per-platform checklists, scoring rubrics, and action items to improve visibility and citation rates in generative engine optimization (GEO). Requires network access for site audits; PDF reports need pandoc and headless Chrome.

This skill provides comprehensive patterns for creating efficient GitLab CI/CD pipelines. It covers automated testing, building, deployment strategies, Docker integration, multi-environment configurations, Terraform workflows, security scanning, and caching optimization to streamline DevOps processes.

A senior-level tool for performing deep-dive technical SEO audits and site architecture mapping. It analyzes crawl health, indexing blocks, sitemap integrity, and structural issues (like canonicalization, link flow, and crawl budget waste). Use this to diagnose complex Google Search Console errors and propose a full, engineered roadmap for website stabilization and optimization.

Develop native iOS applications using Swift and SwiftUI, mastering iOS 18 features, UIKit integration, Core Data, networking, and App Store optimization. Expertise includes architecture patterns, security, performance tuning, and Apple ecosystem integration for production-ready apps.

Master modern Julia 1.10+ development with performance optimization, multiple dispatch, and production-ready practices. Covers scientific computing, data science, machine learning, web development, and package management. Focus on type stability, modern tooling, testing, and CI/CD pipelines for high-performance applications.

This skill extracts up to 50 highly relevant, SEO-friendly keywords and tags from any given text. It is designed to identify core topics, domain terminology, and potential search phrases, formatting them into a strict, comma-separated list suitable for metadata generation, tagging, or search engine optimization (SEO). Use it whenever you need to optimize content for search engines.

This skill provides comprehensive techniques for optimizing prompts used with any Large Language Model (LLM). It teaches proven methodologies—including Role definition (R), Context setting (S), Constraints (C), Instructions (I), and Templates (T)—to transform vague inputs into precision-engineered instructions. Users can reliably achieve structured JSON output, implement Chain-of-Thought reasoning, reduce hallucinations, and minimize token usage, ensuring consistent and high-quality results across different AI platforms.