What problem does it solve? Setting up a production-grade CI/CD pipeline for test execution requires platform-specific YAML, sharding strategy, flaky-test detection, caching, and security hardening, which is error-prone to write by hand. This Skill generates a complete, validated pipeline configuration tailored to your stack and CI platform. ## Core Features & Use Cases - Multi-Platform Pipeline Generation: Produces ready-to-use configurations for GitHub Actions, GitLab CI, Azure DevOps, Harness, Jenkins, and Circle CI from built-in templates. - Test Optimization Built In: Configures 4-way parallel sharding, dependency and browser caching, failure-only artifact collection, and a 10-iteration burn-in loop for flaky test detection. - Security and Validation: Enforces script-injection prevention (env: intermediaries for user-controlled inputs) and validates outputs against a comprehensive checklist including a dedicated injection scan. - Use Case: A team with a Playwright + Vitest monorepo asks to set up CI; the Skill detects the fullstack stack, picks GitHub Actions from the git remote, and writes .github/workflows/test.yml with lint, sharded test, burn-in, and report stages plus helper scripts and docs. ## Quick Start Ask the AI to set up a CI pipeline with quality gates for this repository and let it detect the platform and test framework automatically.
