What problem does it solve? Expanding test automation coverage across an existing codebase is slow and inconsistent when done manually. This Skill analyzes source code or BMad artifacts (stories, PRDs, test designs), identifies coverage gaps, and generates a structured test suite with fixtures, data factories, and helpers. ## Core Features & Use Cases - Multi-level test generation: Produces E2E, API, component, and unit tests with P0-P3 priority tags, avoiding duplicate coverage across levels. - Test infrastructure scaffolding: Creates Playwright fixtures with auto-cleanup, faker-based data factories, and helper utilities, plus optional Pact consumer-driven contract tests. - Adaptive execution and healing: Supports parallel subagent or sequential generation modes, optional auto-validation, and pattern-based healing of failing tests with a healing report. - Use Case: Point it at a feature directory like src/orders/refunds/ and receive a complete test suite with an automation summary, coverage breakdown, and package.json test scripts. ## Quick Start Ask the AI to expand test coverage for a specific feature or the whole codebase, for example by saying you want to automate tests for the checkout module.