Skill UI

This skill provides expert guidance on authenticating and authorizing to Google Cloud services and APIs. It covers human users, service identities, Application Default Credentials (ADC), and best practices for secure access. Topics include workforce identity federation, service account impersonation, Identity-Aware Proxy (IAP), and service-to-service authentication for production environments.

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Supports VPC Flow Logs, Cloud NAT, firewall and threat logs, latency and throughput metrics, and Connectivity Tests for path troubleshooting.

This skill provides a streamlined path for developers to get started with Google Cloud. It covers essential steps including account creation, billing setup, project initialization, CLI installation, API enabling, and deploying your first cloud resource. Ideal for individual developers and IT admins beginning their cloud journey.

This skill provides guidance on optimizing costs for Google Cloud workloads using the Well-Architected Framework. It helps evaluate workloads, identify cost constraints, and offer actionable recommendations for building efficient cloud infrastructure. Key areas include aligning spending with business value, fostering cost awareness, optimizing resource usage, and continuous monitoring through tools like Cloud Billing and Recommender.

Generate reliability guidance for Google Cloud workloads using the Well-Architected Framework. Evaluate systems, identify requirements, and get recommendations for resilient, highly available architectures. Focus on SLOs, redundancy, observability, and disaster recovery.

This skill generates security-focused guidance for Google Cloud workloads based on the Well-Architected Framework. It helps evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security. Key principles include security by design, zero trust, and shift-left security.

This skill generates award-winning frontend pages using GSAP animations and strict AIDA structures. It ensures wide hero typography, gapless bento grids, and cinematic motion effects. It avoids common LLM biases like narrow headings and empty grid cells. Ideal for high-end marketing sites and creative portfolios requiring professional, motion-rich interfaces.

Create and manage production-ready Grafana dashboards for system observability, including Prometheus metrics, API monitoring, SLOs, infrastructure, and business KPIs.

This skill enables querying the code graph database to understand component relationships, dependencies, and change impact within a codebase. It helps users find callers, check dependencies, identify serializers, and visualize call chains before making modifications. Part of the AI Maestro suite, it ensures safe refactoring by analyzing associations and preventing unintended breaking changes during development.

Build scalable GraphQL APIs with schema design, resolvers, DataLoader for N+1 prevention, federation, subscriptions, security controls, and Apollo/urql client integration.

Stress-test a plan, decision, or idea through relentless rounds of questions organized as a design tree, with recommended answers and sub-agent fact-finding.

A three-layer Markdown system ensuring every claim traces to an immutable source. It uses git fingerprints for drift detection, separating raw data, compiled wiki pages, and archives. Ideal for AI agents compiling notes or code documentation, guaranteeing verifiability without re-reading entire codebases.