Skill UI

This skill defines the coordination protocol for multi-agent execution during development sprints. It governs how project architects must spawn specialized agents (e.g., backend, frontend, QA), manage dependencies via shared contracts, and collect comprehensive, structured reports. It ensures systematic, parallel, and controlled project iteration development.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

This comprehensive guide offers patterns and best practices for building robust, maintainable, and fast End-to-End (E2E) test suites using Playwright. It details essential concepts like Page Object Model (POM), advanced configuration, handling flaky tests, artifact management, and seamless integration into CI/CD pipelines. Essential for QA engineers and developers building web automation frameworks.

This skill provides comprehensive guidance on building reliable, fast, and maintainable end-to-end (E2E) test suites. It ensures code quality by validating critical user journeys and catching regressions in complex workflows before deployment. Essential for setting up robust CI/CD pipelines, cross-browser compatibility, and establishing rigorous QA standards.

Generates end-to-end tests for web workflows using Playwright, Cypress, or Selenium, automating browser steps and assertions so QA teams can validate registration, login, shopping cart, and other multi-step flows across browsers and devices.

Automates Iqair Airvisual workflows by walking through Composio’s Rube MCP lifecycle—searching for up-to-date tool schemas, validating toolkit connections, and executing discovered tools with schema-compliant inputs.

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

This skill provides guidance and patterns for generating pairwise test cases. Pairwise testing is an advanced testing technique used in software quality assurance (QA) to ensure that every combination of two input parameters is tested. It is highly effective for complex systems with multiple interacting variables, helping developers improve test coverage efficiently while minimizing the overall number of required test cases.

This comprehensive tool validates web applications against WCAG 2.1/2.2 accessibility standards. It combines automated scanning using industry-leading tools (like axe-core, Lighthouse) with crucial manual checks for keyboard navigation, ARIA implementation, and color contrast. It is essential for QA teams and developers who must ensure high usability and accessibility for all users, including those relying on screen readers.

A comprehensive toolkit for ensuring code quality in modern React and Next.js applications. It automatically generates unit test stubs using Jest and React Testing Library, scaffolds Playwright E2E tests for entire application routes, and analyzes coverage reports to identify crucial testing gaps. Ideal for developers looking to establish, improve, and maintain robust, enterprise-grade test suites.

A comprehensive meta-skill for validating, testing, and scoring the quality of technical skills within an ecosystem. It performs deep structural checks (SKILL.md compliance), executes Python scripts for syntax, runtime, and output validation, and generates multi-dimensional quality scores using letter grades and tier recommendations. Ideal for new skill authorship, auditing existing components, or integrating rigorous QA gates into CI/CD pipelines.