Skill UI

A comprehensive guide for implementing and managing Role-Based Access Control (RBAC) within the Guidewire InsuranceSuite (PolicyCenter, ClaimCenter, BillingCenter). It details role hierarchies (Admin, Underwriter, Claims Adjuster), permission checking logic using APIs, and best practices for ensuring regulatory compliance (NAIC, DOI). Includes code examples for user provisioning and audit logging.

This skill provides foundational examples for interacting with Guidewire's core cloud APIs, including PolicyCenter, ClaimCenter, and BillingCenter. It demonstrates how to execute initial RESTful API calls, query resources (like accounts and claims), and understand common API response structures, pagination, and error handling patterns. Ideal for connectivity testing, learning Guidewire's REST structure, and prototyping basic insurance integrations.

This guide provides a comprehensive setup process for Guidewire InsuranceSuite development. It covers installing Guidewire Studio, configuring secure OAuth2 authentication via Guidewire Hub, and obtaining necessary JWT tokens for connecting to core APIs like PolicyCenter, ClaimCenter, and BillingCenter. Essential for developers integrating with the Guidewire platform.

Provides production-ready patterns for integrating with the Guidewire insurance platform. This SDK abstracts the complexity of hybrid APIs (REST/SOAP), offering a structured client, robust error handling (retry logic, conflict detection), and a fluent query builder for consistent data access across policies and claims.

A comprehensive guide for implementing standardized, robust error handling in modern APIs. It utilizes RFC 7807 Problem Details, centralized middleware, and typed error classes to convert diverse failure types (validation, auth, database, upstream service) into consistent, machine-readable responses with correct HTTP status codes. Essential for building production-grade, resilient backends.

Automated assistance for http client setup, offering best-practice guidance, code samples, and validation when integrating APIs, webhooks, SDKs, and OAuth services.

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.

A comprehensive guide to implementing robust observability for Ideogram AI image generation APIs. Learn how to track critical metrics such as generation duration (latency), estimated API costs, error rates, and content safety rejections. This skill involves instrumenting API calls using TypeScript, integrating cost estimation, and setting up Prometheus alerting rules to ensure stable and reliable AI operation.

This comprehensive guide provides patterns and best practices for implementing robust testing strategies in modern JavaScript and TypeScript applications. It covers setting up test infrastructure, writing unit tests for functions and classes, creating integration tests for APIs, and implementing end-to-end tests for user flows, supporting TDD and CI/CD integration.

This skill acts as an expert architect for scaffolding robust, production-ready applications using TypeScript. It generates complete, structured project templates for various types, including Next.js full-stack apps, React/Vite SPAs, and Node.js APIs. It incorporates modern tooling like pnpm, Vite, and Next.js features, ensuring type safety, proper dependency management, comprehensive testing setups, and adherence to current industry best practices. Use it to accelerate project setup and maintain scalable architecture.

Auto-activating tool that guides technical documentation work by providing jsdoc comment templates, best practices, and validation for APIs, guides, and automation workflows.

This utility provides robust cost control mechanisms for integrating AI generation APIs. It implements daily budget enforcement, per-request cost estimation, and usage alerting. Developers can use it to prevent unexpected overspending and effectively manage credits and resources when building AI-powered applications.