Skill UI

This resource provides documentation and examples for common design patterns utilized within the Quarkus framework. It is designed to guide developers in implementing robust, cloud-native microservices architecture by adhering to established best practices of the Quarkus ecosystem.

This guide details the process of deploying and configuring Proofpoint Email Protection, a cloud-native Secure Email Gateway (SEG). It establishes a critical security checkpoint for all mail traffic, protecting users from advanced threats including phishing, malware, Business Email Compromise (BEC), and spam. The implementation covers architectural planning, advanced threat defense (sandboxing, ML classifiers), and compliance with protocols like DMARC, SPF, and DKIM.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

This skill provides access to the Anthropic Claude Managed Agent runtime, which is a cloud-native, persistent environment for running complex, long-running, or asynchronous AI tasks. Unlike local WASM agents, the managed runtime provides a full container, persistent filesystem, and robust state management across multiple turns. It supports the entire agent lifecycle: creation, prompting, status inspection, event logging, and mandatory termination.

A comprehensive guide to architectural patterns for building cloud-native, event-driven microservices using Quarkus 3.x. Covers RESTful API design with JAX-RS, implementing event messaging with Apache Camel and RabbitMQ, structured data access using Hibernate Panache, managing transactions, and advanced logging context handling (MDC). Ideal for developers building robust, scalable, and maintainable enterprise systems.

Enumerate cloud storage buckets, confirm dangling-CNAME takeover risks, recover AWS account IDs offline from leaked access keys, validate npm/PyPI dependency-confusion vectors, and fingerprint cloud-native/Kubernetes/CI exposure for authorized recon.

A comprehensive guide covering the full attack lifecycle in Kubernetes. Techniques include service account token theft, RBAC misconfiguration exploitation, kubelet API abuse, pod escape, and cloud metadata compromise across major cloud platforms (AWS, GCP, Azure). Essential for security assessment and penetration testing of cloud-native environments.

Query self-hosted or Matomo Cloud analytics as a privacy-first GA4 alternative. Pull organic traffic, landing pages, device, country, referrer and keyword reports via the Matomo Reporting API.

This skill provides expert-level review and guidance for complex software systems. It covers modern architecture patterns like microservices, event-driven design, and clean architecture. The architect evaluates scalability, resilience, security, and maintainability. It helps ensure architectural integrity and compliance with best practices across distributed systems and cloud-native environments.

This skill enables building production-ready serverless applications on AWS. It covers core components like Lambda functions, API Gateway, and DynamoDB. It also includes event-driven patterns using SQS and SNS, deployment strategies with SAM or CDK, and optimization techniques for cold starts. Ideal for backend development and cloud-native architecture implementation.

Use this skill to integrate Azure Queue Storage in Rust applications. It covers installation, authentication, sending/receiving/deleting/peeking messages, and RBAC roles. Ideal for developers building cloud-native Rust services that need reliable message queuing.

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.