Skill UI

Automates GraphQL resolver creation for backend teams, giving step-by-step guidance, industry best practices, and production-ready code/configs to validate resolvers across Node.js, Python, Go, database design, caching, messaging, and microservices.

Comprehensive guide for deploying applications powered by the Groq inference API. Covers best practices and specific setup instructions for multiple production environments, including Vercel Edge Functions, Google Cloud Run, Docker containers, and other containerized platforms. Essential for setting up robust, low-latency, production-ready AI services.

A comprehensive checklist for deploying Groq-powered applications to production. It covers critical areas including secure API key management, model fallback strategies, rate limit planning, implementing robust error handling (e.g., circuit breakers), setting up health endpoints, and configuring detailed monitoring and spending controls necessary for a successful, stable go-live.

Automatically assists backend developers with gRPC service generation, offering best-practice patterns, multi-language scaffolds for Node.js, Python, Go, and validating configs for databases, caching, and messaging to stay production-ready.

This skill automates and configures robust Continuous Integration/Continuous Deployment (CI/CD) pipelines specifically for Guidewire applications. It handles the entire development lifecycle, including Gosu code compilation, running GUnit unit tests, building configuration packages, and deploying changes via the GCC API. It supports separating pipelines based on whether changes are in code or configurations.

This skill provides comprehensive guidance for diagnosing and resolving common Guidewire Cloud API errors. It covers typical HTTP status codes (400, 401, 403, 404, 409, 422) and common Gosu exceptions like ClassNotFoundException, NPE, and ValidationException. Use this resource when integrating with Guidewire systems or troubleshooting failed API calls.

This skill provides comprehensive data handling capabilities specifically for the Guidewire platform. It covers robust entity management (CRUD operations using Gosu), complex data migration using ETL tools and batch processing, and advanced data governance practices. Key features include implementing GDPR data purge rules and anonymization techniques for secure testing environments. Ideal for developers managing core insurance platform data.

This bundle is designed to collect comprehensive diagnostic data from the Guidewire ecosystem. It captures critical information including Cloud API responses, Gosu stack traces, server logs, OAuth token status, and batch process statuses. Use it to aid in debugging, troubleshooting, and performance analysis within Guidewire applications.

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 provides a comprehensive deep dive into migrating from legacy or self-managed insurance systems to Guidewire Cloud. It covers the entire migration lifecycle, including initial system assessment, product configuration, complex data migration (policies, claims, accounts via ETL), API integration cutover, and final UAT to go-live stages. It is designed for technical teams planning a major platform upgrade.

This skill provides comprehensive guidance on optimizing Guidewire application performance. It covers advanced development techniques such as optimizing Gosu queries using the Query API, implementing efficient batch processing with BatchProcessBase, implementing caching strategies for frequently accessed reference data, and performing JVM heap tuning via the Guidewire Cloud Console (GCC). Use this when system performance bottlenecks are detected in Guidewire insurance or core business platforms.

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.