Skill UI

A comprehensive guide providing reference architectural patterns for building scalable, maintainable, and robust enterprise integrations involving Gamma services. It details three patterns—Basic, Service Layer, and Event-Driven—covering use cases from simple prototypes to high-volume, microservices-based systems, guiding system designers and architects on best practices.

This guide provides practical implementation steps for ensuring GDPR compliance in data processing, consent management, and privacy controls. Use this skill when developing systems that handle EU personal data, managing Data Subject Requests (DSRs), or designing privacy-first architectures to meet strict international data regulations.

This skill guides you through designing and implementing production-grade Grafana dashboards for comprehensive system observability. Learn to visualize critical metrics, track key performance indicators (KPIs), monitor infrastructure health (using principles like RED/USE), and build actionable alerts using Prometheus data sources. Ideal for DevOps engineers and Site Reliability Engineers (SREs).

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.

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.

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.

A specialized AI assistant acting as an expert Haskell engineer. This skill focuses on advanced type systems (GADTs, type families), pure functional architecture, concurrency (STM, async), and high-assurance software design. Use it for building robust, idiomatic, and maintainable Haskell code.

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.

Provides comprehensive best practices for designing user interfaces that support diverse input methods across the Apple ecosystem. This guide covers everything from standard gestures, Apple Pencil interactions, keyboard shortcuts, to specialized inputs like the Digital Crown, eye tracking, and motion sensors, ensuring cross-platform consistency and optimal user experience.

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

A comprehensive skill designed to manage, track, and persist image assets generated by Ideogram's API. This tool addresses the critical issue of expiring image URLs by implementing a complete lifecycle pipeline. It handles metadata tracking (prompt, seed, model, style, etc.), immediate downloading, and robust storage to both local filesystems and cloud solutions like S3. Features include asset persistence, generation history logging, and image reproduction using stored seed values.

This skill outlines a comprehensive, multi-agent orchestration workflow designed for sophisticated production issue resolution. It systematically combines AI code assistants, observability platforms (like Sentry/DataDog), and automated techniques (e.g., git bisect, distributed tracing) into a rigorous four-phase process: Issue Analysis, Root Cause Investigation, Fix Implementation, and Verification. It guides best practices for reducing Mean Time To Recovery (MTTR) and improving system resilience in complex, multi-system environments.