Skill UI

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

This skill automates the complete software development workflow: staging all changes, creating a structured conventional commit message, and pushing the results to the remote repository. It is ideal for developers who have completed a feature or batch of changes and need to reliably share their work while adhering to standard Git best practices.

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.

This skill simulates a senior Go developer, specializing in writing high-performance, production-grade Go applications. It covers advanced topics like concurrent programming using goroutines and channels, designing robust microservices with gRPC/REST, and optimizing code using pprof and benchmarks. It enforces idiomatic Go patterns, context propagation, and strict testing practices (table-driven, fuzzing, race detection).

A comprehensive guide to configuring and managing Groq API access across development, staging, and production environments. This skill establishes environment-specific configurations, ensuring optimal model selection, rate limit handling, and secure secret management (using AWS, GCP, Vault) for robust and scalable LLM integrations.

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 optimizing costs within Guidewire Cloud environments. It covers crucial areas such as rightsizing cloud compute instances, optimizing batch process scheduling to off-peak hours, reducing API call expenses through effective caching, and implementing bulk endpoints instead of individual calls. It is essential for cloud architects, DevOps engineers, and development teams managing large-scale insurance SaaS platforms.

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 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 skill guides the complex process of upgrading Guidewire InsuranceSuite versions and migrating between cloud environments. It covers critical development lifecycle steps, including reviewing breaking changes in release notes, executing upgrade tools, merging configuration changes, rigorously testing Gosu customizations, and validating API compatibility across various environments to ensure a seamless transition.

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 guide to setting up and authenticating the Ideogram API for AI image generation. This skill covers obtaining the necessary API key, configuring environment variables, and providing verifiable code snippets (Python/TypeScript) to establish a successful connection. It is essential for integrating image generation, editing, and remixing capabilities into any development project.