Skill UI

Enforces an 80%+ coverage TDD workflow for feature builds, bug fixes, refactors, and API/component work by writing unit, integration, and Playwright E2E tests first, then implementing code, verifying coverage, and mocking downstream services.

A specialized skill designed to ensure robust software quality by covering the entire testing lifecycle. This includes defining test strategies, writing unit, integration, and E2E tests, and implementing advanced testing types like performance (k6), security (OWASP), and functional testing. It guides users through coverage analysis, debugging flaky tests, and generating detailed defect and quality reports.

Validates Claude Code plugin activation by reading files, executing commands, and ensuring trigger phrases and tool permissions work as expected during E2E testing scenarios.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

This tool automates the creation of production-ready End-to-End (E2E) tests using the Playwright framework. Users can provide natural language descriptions (like user stories, feature names, or component paths) to automatically generate comprehensive test suites. It follows best practices, including utilizing role-based locators, structuring tests with setup/act/assert phases, and generating supporting files like page objects and fixtures for maintainability.

Use this comprehensive tool to automate the migration of end-to-end (E2E) tests from legacy frameworks like Cypress or Selenium to the modern Playwright. It handles file-by-file conversion, updates key API calls, upgrades selectors (e.g., to getByRole), and modernizes custom commands and utilities, ensuring a smooth and best-practice compliant framework upgrade.

Offers testing guidance covering TDD workflows, unit/integration/E2E organization, framework support, mocking strategy, and coverage to help teams deliver reliable, well-structured test suites.

AWT provides AI coding tools with the ability to perform sophisticated End-to-End (E2E) web testing using a real browser. It accepts declarative YAML scenarios and executes them via Playwright. Key features include visual matching (OpenCV + OCR) instead of relying on fragile DOM selectors, automatic platform detection (React, Vue, etc.), and structured failure diagnosis for improved AI coding workflows.

This skill implements a simplified version of the Signal Protocol, focusing on robust end-to-end encryption (E2EE) for messaging applications. It covers critical cryptographic components including X3DH key agreement, the Double Ratchet algorithm for continuous key management, and AES-256-GCM for message encryption. The implementation ensures forward secrecy, meaning that compromising a current key does not reveal past messages. Use this when designing, building, or evaluating the security architecture of a messaging service to guarantee that only communicating parties can read the messages.

Coordinated end-to-end testing workflow that leverages Playwright for browser automation, visual regression comparisons, cross-browser coverage, and CI/CD integration so teams can validate web apps before release.

Automates CI/CD pipeline setup, from linting and type checks to integration, E2E, security, and deployment stages, plus feedback loops for AI agents and preview deployments.

This guide provides detailed best practices for writing and maintaining comprehensive End-to-End (E2E) test cases for the 'lark-cli' tool. It covers the entire workflow, from exploring live help documentation and identifying leaf commands, to structuring state-proving tests (e.g., read-after-write assertions) and generating the required `coverage.md` artifact. Use this when adding or significantly updating E2E coverage for any specific functional domain.