What problem does it solve? Setting up CI pipelines from scratch often means copying brittle templates that don't match the actual project stack, leading to broken builds, missing cache keys, and mismatched lint/test/build commands. ## Core Features & Use Cases - Stack Detection: Scans repository files (package.json, lockfiles, pyproject.toml, go.mod, Dockerfile) to identify languages, package managers, and available lint/test/build commands, outputting text or JSON reports. - Pipeline Generation: Produces GitHub Actions or GitLab CI YAML from the detection payload, with appropriate runtime setup, dependency installation, and staged lint/test/build jobs. - Deployment Guidance: Includes references for deployment gates, environment promotion patterns, and rollback requirements. - Use Case: Bootstrap CI for a new Node.js repository by running the stack detector, then generating a .github/workflows/ci.yml that uses npm ci with caching and runs the project's actual lint, test, and build scripts. ## Quick Start Ask the AI to detect the stack of the current repository and generate a GitHub Actions CI workflow file from the detected signals.