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 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 acts as a PR optimization expert, designed to help users create high-quality pull requests. It generates comprehensive descriptions, automates review processes, and ensures adherence to best practices regarding clarity, documentation, and test coverage. It streamlines the entire code review lifecycle.

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.

A comprehensive collection of patterns and best practices for automating GitHub workflows using advanced AI models. This skill enables automated PR reviews, sophisticated issue triage (labeling and commenting), and seamless integration of AI into CI/CD pipelines, significantly enhancing DevOps efficiency and code quality assurance.

Auto-activating skill that guides users through gitignore generation, best practices, and foundational DevOps patterns whenever they mention gitignore generator tasks.

Automated guidance for GKE cluster configuration within GCP Skills, offering step-by-step instructions, best practices, and production-ready code for compute, storage, BigQuery, Vertex AI, and other GCP services.

A comprehensive guide to production-grade concurrency patterns in Go. It details the proper use of goroutines, channels, sync primitives, and context management. Use this skill when building highly concurrent applications, implementing worker pools, managing goroutine lifecycles, or debugging race conditions in Go.

Auto-activating backend skill that guides users through go handler generator patterns, production-grade code/config creation, and best-practice validation across microservices.

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.

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).