Skill UI

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.

A comprehensive toolkit designed to monitor the health and performance of Guidewire InsuranceSuite. It tracks critical operational metrics including claim processing times, policy synchronization rates, billing accuracy, API latency, and batch job statuses. The system provides real-time alerting, structured logging, and health checks to maintain high service level agreements (SLAs) for complex insurance workflows.

This document provides the enterprise reference architecture for deploying Guidewire InsuranceSuite Cloud. It details the integration flow from the Jutro Frontend through the Cloud API Gateway to core modules like PolicyCenter, ClaimCenter, and BillingCenter. It guides users on the overall system structure, data warehousing via DataHub, and analytics using Explore.

This guide outlines critical security measures for integrating with Guidewire systems, which handle sensitive policyholder PII, claims, and financial data. It covers best practices for implementing OAuth2 JWT authentication, API role scoping, input validation, and sensitive data redaction (PII) to prevent data breaches and meet compliance standards.

Implements event-driven architecture by integrating Guidewire App Events and webhooks. This allows developers to build event consumers that process critical InsuranceSuite state changes—such as claim creation or policy issuance—in near-real-time, enabling robust, reactive business logic.

HR-Pro is a comprehensive, ethical, and compliance-aware subagent designed to guide users through the entire employee lifecycle. It provides best practices, standardized checklists, and templates for key HR processes, including hiring and recruiting, onboarding/offboarding, performance management, PTO/leave policy, and complex employee relations. It prioritizes legal compliance and minimizing bias, while always advising consultation with local legal counsel for high-risk actions.

Automates iam policy creation for AWS Skills, activating when you mention the trigger, guiding best practices, generating production-ready configs, and validating outputs for compute, storage, networking, and serverless scenarios.

Automates IAM policy reviewer workflows within the Security Advanced domain, providing guided best practices, production-ready configurations, and validation so teams can handle compliance and threat modeling requests with confidence.

Guides implementing Kubernetes NetworkPolicy, RBAC, PodSecurityPolicy, Pod Security Standards, and OPA Gatekeeper constraints to enforce defense-in-depth across clusters, covering multi-tenant protection, admission control, and Istio service mesh policies.

This guide provides a comprehensive reference for diagnosing and resolving common errors encountered when interacting with the Kling AI API. It covers various HTTP status codes (e.g., 400, 401, 429), task-level failures (e.g., content policy violations, low image quality), proper JWT token management, and implementing rate limit handling with exponential backoff. Use this resource when troubleshooting failed video generation or API integration issues.

A comprehensive framework for assessing the security, privacy, and compliance posture of Kling AI integrations. It covers crucial areas such as data residency, credential management, content policy adherence, and GDPR compliance (e.g., right to erasure). Use this guide when preparing for security audits or implementing robust data handling protocols for AI-generated content.

Implements robust content policy compliance for generative AI prompts and outputs, such as those from Kling AI. This skill provides pre-submission filtering functionality, preventing the generation of restricted content (e.g., violence, explicit material, hate speech) and saving API credits. It includes Python code examples for prompt screening and handling server-side rejection messages.