Skill UI

Conduct comprehensive, offensive security assessments across major cloud environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill simulates real-world attacks, covering reconnaissance, authentication bypass, resource enumeration, privilege escalation, and data extraction to identify critical misconfigurations and vulnerabilities in cloud infrastructure.

Provides comprehensive methodologies for planning, executing, and validating complex, zero-downtime system migrations. This skill covers critical patterns across data (Schema Evolution, CDC), services (Strangler Fig, Canary), and infrastructure (On-Prem to Cloud). It ensures minimal business impact, data consistency, and reliable rollback strategies.

Provides expert guidance on designing, securing, and optimizing cloud-native network infrastructures across AWS, Azure, and GCP, covering load balancing, service mesh, monitoring, and automation best practices for high-performance, resilient deployments.

Submit and manage autonomous lab protocols on Ginkgo Cloud Lab, leveraging RACs for cell-free protein expression validation/optimization, fluorescent pixel art, EstiMate AI assessments, and guided ordering of sample inputs through the web interface.

A comprehensive guide to securing AWS Lambda execution roles. It details implementing least-privilege IAM policies, utilizing permission boundaries, and restricting resource-based policies. The workflow includes auditing existing permissions using AWS CLI, analyzing actual API usage with CloudTrail and IAM Access Analyzer, and programmatically creating highly scoped policies to minimize the security attack surface.

Manages production-grade secret infrastructure, covering Vault clusters, cloud secret stores, auth methods, rotation, and audit patterns to harden DevOps pipelines and respond to leaks.