Skill UI

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

This guide details the use of the GGUF format and quantization techniques for running large language models (LLMs) efficiently. GGUF enables optimal inference on consumer hardware, Apple Silicon, and systems requiring CPU-only operation. By compressing models using various K-quant methods (like Q4_K_M), developers can significantly reduce memory footprint and hardware requirements while maintaining high performance.

A production-grade framework for executing high-performance, robust browser automation and web scraping using Playwright with the Go language. This skill specializes in handling complex Single Page Applications (SPAs), emulating human behavior (e.g., random typing delays, Bezier mouse movements), and implementing advanced stealth techniques to bypass anti-bot systems like Cloudflare. It emphasizes architectural best practices, such as using contexts for isolation and structured logging.

This skill guide helps developers master best practices and architectural patterns for Godot 4 game development using GDScript. It thoroughly covers implementing game systems, managing complex state machines, utilizing signals, and optimizing performance. Use this when building robust, scalable, or advanced Godot games.

Master Google Cloud’s Agent Development Kit and Starter Pack to build containerized multi-agent systems, automate RAG workflows, and deploy production-ready agents via Cloud Run, GKE, Agent Engine, or CI/CD pipelines.

Build sophisticated, event-driven automations using Granola's data triggers via Zapier webhooks. This guide details the event model, payload structure, and advanced filtering patterns. Implement custom handlers in JavaScript or Python to process meeting data, route based on attendees, or automatically update external systems like CRMs and task managers.

This guide details a production-ready reference architecture for applications built on Groq's LPU inference API. It covers sophisticated model routing based on latency, quality, or cost needs, implementing streaming pipelines, and establishing robust multi-provider fallback chains (e.g., Groq primary to OpenAI backup). Ideal for designing and reviewing complex, resilient LLM systems.

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 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 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 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.

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.