Skill UI

Automates GC log analyzer workflows for performance testing by guiding load, stress, benchmarking, and monitoring efforts with best-practice advice and ready-to-use configurations.

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.

Guides GCP users through GCS bucket configuration, offering best practices, configuration patterns, and production-ready snippets whenever someone asks about storage setup within Google Cloud.

Provides automated guidance for Google Cloud Storage lifecycle policy scenarios, including pattern recommendations, production-ready configurations, and best practices for compute, storage, BigQuery, Vertex AI, and other GCP-specific services.

Generates realistic database seed data and scripts for development or testing, leveraging Faker libraries to respect schema constraints, maintain relationships, and allow configurable volumes for quick population of demo or test environments.

Generates production-ready Docker Compose configurations for multi-container apps by defining services, networks, volumes, health checks, and resource limits based on user architecture input.

Generates Helm charts for Kubernetes applications, handling requirements gathering, chart creation via plugins, and delivering ready-to-deploy configurations for new or updated deployments.

Automates Gin middleware creation within backend projects, offering best-practice guidance, production-ready code, and configuration validation whenever you ask about Gin middleware patterns or related backend topics.

Automated DevOps helper for Git workflow manager tasks, triggering on mentions to offer best practices, code and configuration generation, and validation across version control, containerization, CI/CD, and foundational infrastructure topics.

Automates guidance for Github Actions starters within the DevOps Basics domain, offering step-by-step best practices, production-ready configurations, and validation so teams can launch CI/CD, Git, Docker, and infrastructure workflows with confidence.

Automates guidance for GitHub issue creation within enterprise workflows, offering best practices, validations, and code/config generation whenever the GitHub issue creator intent is detected.

Automates GitHub project setup by guiding enterprise workflows, best practices, and compliance-ready configurations whenever setup assistance is requested.