Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run,...
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run,...
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run,...
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run,...
Advanced Machine Learning Pipeline skill - Data preprocessing, model selection, training workflows, real-time inference, and MLOps integration. Use when building ML models, analyzing data, or...
Detects opportunities to apply GoF Design Patterns in Jakarta EE/MicroProfile. Use when reviewing code for structural improvements or implementing creational, structural, or behavioral patterns.
Expert hybrid cloud architect specializing in complex multi-cloud
Expert hybrid cloud architect specializing in complex multi-cloud
Expert hybrid cloud architect specializing in complex multi-cloud
Expert hybrid cloud architect specializing in complex multi-cloud
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When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,'...
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Threat modeling methodologies (STRIDE, DREAD, PASTA, attack trees) for secure architecture design. Use when planning new systems, reviewing architecture security, identifying threats, or assessing...
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.
Expert knowledge for consuming Substreams data in applications. Use when building sinks, real-time data pipelines, or integrating Substreams outputs into Go, JavaScript, Python, or Rust applications.
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.
Automatically discover frontend development skills when working with React, Next.js, UI components, state management, data fetching, forms, accessibility, performance optimization, or SEO....
Create optimized Dockerfiles with multi-stage builds, security hardening, and vulnerability scanning for minimal, secure container images.