Skill UI

Provision production-grade Vertex AI ADK Agent Engine infrastructure with Terraform, covering Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, and secure IAM setup for multi-agent deployments.

Audits IAM policies, ACLs, and similar access control setups via the access-control-auditor plugin to surface misconfigurations, overly permissive roles, and privilege escalation risks across cloud and infrastructure environments.

Audits IAM policies, ACLs, and similar access control setups via the access-control-auditor plugin to surface misconfigurations, overly permissive roles, and privilege escalation risks across cloud and infrastructure environments.

This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

A comprehensive guide and set of scripts detailing how to secure AWS Identity and Access Management (IAM). It covers implementing the principle of least privilege, enforcing MFA, managing access keys, and auditing policies for over-permissive settings, ensuring robust cloud security and compliance.

A comprehensive guide covering advanced offensive techniques for AWS cloud environments. Techniques include detailed IAM enumeration, privilege escalation paths, SSRF exploitation targeting metadata endpoints (IMDSv1/v2), S3 bucket exploitation, and Lambda function code extraction. Essential for security professionals and red team operations conducting authorized cloud vulnerability assessments.

This comprehensive skill provides a security posture assessment for AWS environments. It uses AWS CLI commands to audit critical security areas, including IAM policy review, network security groups, data encryption status (EBS, S3, RDS), and logging mechanisms (CloudTrail, VPC Flow Logs). Use this to proactively identify misconfigurations and ensure adherence to security best practices and compliance standards.

Generates complete, production-ready Google Cloud Platform (GCP) code examples and infrastructure templates. It spans various modern AI patterns, including ADK agents, Genkit RAG flows, and multimodal analysis using Vertex AI and Gemini. The output includes runnable code, deployment configuration (Terraform/IaC), security best practices (IAM, VPC-SC), and monitoring setup, ensuring enterprise-grade reliability and cost optimization.

Validates Vertex AI Agent Engine GitHub Actions workflows, enforcing Workload Identity Federation, least-privilege IAM, OIDC permissions, and security scanning so GCP deployments stay automated and secure.

Automates Google Cloud IAM binding tasks by guiding users through best practices, generating production-ready code and configs, and validating outputs across compute, storage, BigQuery, Vertex AI, Cloud Run, Firebase, and other GCP services whenever iam binding creator is mentioned.

Automates iam policy creation for AWS Skills, activating when you mention the trigger, guiding best practices, generating production-ready configs, and validating outputs for compute, storage, networking, and serverless scenarios.

Automates IAM policy reviewer workflows within the Security Advanced domain, providing guided best practices, production-ready configurations, and validation so teams can handle compliance and threat modeling requests with confidence.