What problem does it solve? Deciding where tests run, what data they consume, and how to keep CI green over time is often left to ad-hoc choices, leading to flaky suites, polluted shared environments, and gates that nobody trusts. This Skill provides the operational half of a test strategy: shift-left/shift-right placement, environment and data strategy, flakiness quarantine loops, and CI gating with time budgets. ## Core Features & Use Cases - Shift-left / Shift-right Placement: Assign each verification to the cheapest stage that can catch it, from design reviews and TDD on the left to production monitoring, synthetic monitoring, and canary releases on the right. - Environment & Data Strategy: Allocate tests across local/dev, Testcontainers, staging, and ephemeral environments, and manage fixtures, builders, seeding, generated data, and masked production data for independence and reproducibility. - Flakiness & CI Governance: Run a detect → quarantine → fix → restore loop for flaky tests, and set risk-based coverage/mutation thresholds, parallelization, and execution time budgets as merge gates. - Use Case: A team's CI takes 90 minutes and flaky tests erode trust. Use this Skill to move logic coverage down to fast layers, quarantine flaky tests with owners and deadlines, and enforce risk-based gates with a time budget. ## Quick Start Ask the AI to design the operational test strategy for your project, covering where each test runs, what data it uses, how flaky tests are quarantined, and what CI gates and time budgets apply.
