Skill UI

Configures the Guidewire Studio local development environment, enabling efficient development, debugging, and testing. Features include Gosu debugging with breakpoints, hot deployment for rapid Gosu changes, GUnit integration for unit testing, and local test data loading via sample data loader. Ideal for simulating and developing the InsuranceSuite locally using 'gradle runServer'.

This skill automates the configuration and setup of Guidewire applications across multiple environments (Development, Staging, Production). It manages configuration promotion, handles environment-specific OAuth credentials, and sets up separate integration gateway endpoints. It ensures strict data isolation, streamlining the entire CI/CD deployment process for enterprise insurance systems.

This comprehensive checklist verifies the readiness of Guidewire Cloud for production deployment. It covers critical steps including Gosu compilation validation, GUnit test execution, API role configuration, integration gateway endpoint testing, batch process scheduling verification, and monitoring alert setup. It guides the promotion of configurations through dev, staging, and production environments via GCC.

This skill guides the complex process of upgrading Guidewire InsuranceSuite versions and migrating between cloud environments. It covers critical development lifecycle steps, including reviewing breaking changes in release notes, executing upgrade tools, merging configuration changes, rigorously testing Gosu customizations, and validating API compatibility across various environments to ensure a seamless transition.

This skill provides comprehensive guidance for the creation, organization, and management of Helm charts. It is essential for packaging, distributing, and deploying Kubernetes applications across various environments. Use it when implementing complex, templated, and reusable manifests for robust cloud-native deployments.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for integrating apps into system surfaces. Covers best practices for widgets, Live Activities, notifications, complications, App Clips, and other system components, ensuring apps provide glanceable, contextual utility outside the main app environment.

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting Ideogram API interactions. It gathers environment details (Node, Python, OS), performs API connectivity tests, captures network information, and packages the results into a redacted tarball suitable for attaching to technical support tickets, ensuring all sensitive data is masked.

This comprehensive guide provides a multi-platform deployment solution for Ideogram-powered image generation APIs. It includes detailed code and setup steps for Vercel, Google Cloud Run, and self-hosted Docker containers. The solution addresses key production concerns, including secure secret management (API keys), handling generation timeouts, and ensuring generated images are persisted to durable cloud storage (like S3) with CDN integration for reliable service operation. Use this when migrating Ideogram prototypes to a production environment.

This solution implements robust Role-Based Access Control (RBAC) and multi-tenancy for third-party AI services. By utilizing an application proxy layer, it allows organizations to manage multiple teams, assign separate API keys, enforce granular content policies (e.g., filtering prohibited terms), and track daily budgets. This ensures secure, governed, and scalable resource usage in enterprise environments.

A comprehensive guide to setting up and authenticating the Ideogram API for AI image generation. This skill covers obtaining the necessary API key, configuring environment variables, and providing verifiable code snippets (Python/TypeScript) to establish a successful connection. It is essential for integrating image generation, editing, and remixing capabilities into any development project.

This skill provides a complete local development loop for Ideogram integrations. It includes a strongly typed client wrapper, a mock server for offline testing (preventing API credit usage), and comprehensive Vitest unit tests. Ideal for setting up robust, fast-iterating development environments and ensuring API reliability.

A comprehensive guide for configuring API access across development, staging, and production environments. This setup ensures strict isolation of API keys and environment-specific parameters (like models, speed, and caching). It covers best practices for secret management using major CI/CD and secret services (GitHub Actions, AWS Secrets Manager, GCP Secret Manager).