Skill UI

This expert skill specializes in guiding comprehensive GitHub issue resolution. It covers systematic bug investigation, feature implementation, and collaborative development workflows. Expertise includes issue triage, root cause analysis, test-driven development, and professional pull request management, ensuring vague reports are transformed into production-ready code following modern CI/CD practices.

Send messages, files, and alerts via Telegram bot API. Supports inline button questions for approvals and CI/cron notifications. Ideal for workflow automation, long-running task updates, and interactive approval gates without complex installation.

This skill provides comprehensive testing approaches for Temporal workflows using pytest. It covers unit testing with time-skipping, integration testing with mocked activities, replay testing for determinism, and local development setup. It helps achieve high test coverage and fast feedback loops for Python-based Temporal applications.

Provision and manage Google Cloud Platform infrastructure using Terraform with the hashicorp/google provider. Define repeatable, auditable IaC for VPC, GKE, Cloud SQL, IAM, and multi-environment CI/CD deployments.

A comprehensive, multi-phase workflow designed for Infrastructure as Code (IaC) using Terraform. It guides users through provisioning cloud resources, creating reusable modules, managing complex state, handling multi-environment deployments, and integrating robust CI/CD pipelines and security practices. Ideal for establishing scalable, repeatable, and auditable cloud infrastructure.

Expert in Terraform and OpenTofu for Infrastructure as Code (IaC). Covers advanced module design, state management, multi-cloud deployments, and CI/CD automation. Ensures secure, scalable, and compliant enterprise infrastructure patterns through policy-as-code and GitOps workflows.

Master AI-powered test automation using modern frameworks like Playwright and Selenium. This skill covers self-healing tests, CI/CD integration, and quality engineering strategies. Learn TDD, performance testing, and low-code platforms to build scalable testing ecosystems. Optimize test execution with predictive analytics and intelligent data management for high-quality software delivery.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

This skill generates comprehensive TestNG tests in Java, supporting groups, data providers, parallel execution, and XML suite configuration. It helps users create robust test suites with listeners, soft assertions, and lifecycle annotations. Ideal for Java projects requiring automated testing, CI/CD integration, and scalable test execution strategies.

Analyzes travel health data, assesses destination health risks, provides vaccination recommendations, and generates multilingual emergency medical cards. Supports WHO/CDC data integration for professional-grade travel health risk assessment.

This guide provides comprehensive patterns for optimizing Turborepo build pipelines within monorepos. It covers local and remote caching strategies, including integration with Vercel and self-hosted solutions. Use it when setting up new monorepos, improving CI/CD performance, or debugging complex build dependency issues.

uv is an extremely fast Python package installer and resolver written in Rust. This guide provides a comprehensive workflow for modern Python project management and dependency handling. Use this skill to set up new projects quickly, manage dependencies much faster than traditional tools like pip, resolve complex conflicts, and optimize CI/CD pipelines, especially when dealing with monorepos or needing reproducible builds.