Skill UI

Validates PCI DSS compliance by running the pci-dss-validator plugin on codebases or infrastructure configs, then reports violations and remediation steps for developers, security engineers, and compliance officers.

Automatically checks application metrics such as load times, bundle sizes, and API responses against predefined performance budgets, surfacing regressions and preventing slippage before deployments—ideal for CI/CD workflows.

This expert skill validates the deployment readiness of Vertex AI Agent Engines. It executes a weighted audit across five critical dimensions: security, monitoring, performance, compliance, and best practices. The output provides a comprehensive 0-100% composite score, a detailed pass/fail report for each check, and a prioritized, actionable remediation plan, ensuring high-quality, production-grade deployments.

Automates webhook signature validation within API integrations, offering best-practice guidance, production-ready snippets, and configurable checks to ensure secure third-party communication.

Automated guidance for YAML configuration validation tasks within the DevOps Basics domain, covering version control, containers, CI/CD, and infrastructure fundamentals while producing production-ready code and configurations.

Guides network engineers through creating ROAs via RIR portals, deploying an RPKI validator like Routinator, and configuring Cisco IOS-XE and Juniper Junos routers to enforce ROV policies that block hijacks and prefer validated paths.

This skill guides developers on creating and managing Headless CMS content models programmatically using the ModelFactory pattern. It covers defining complex data structures, including various field types (text, richText, file, ref), implementing validators (required, unique), configuring layouts, and establishing relationships between models. It is essential for advanced, code-driven CMS customization and API integration.

This guide details how to implement custom Content Management System (CMS) field types within a framework. It covers extending the core DataFieldBuilder, composing complex validator interfaces, creating a dedicated FieldTypeFactory, and ensuring proper registration via Dependency Injection (DI) and module augmentation for full TypeScript autocomplete support. Essential for adding fields with specialized validation or storage formats.