What problem does it solve? Setting up CI/CD pipelines from scratch often means copying brittle YAML from other projects that does not match the actual stack, leading to broken builds, missing cache keys, and ungated deploy jobs. This Skill detects the real languages, package managers, and scripts in a repository and generates a matching pipeline baseline. ## Core Features & Use Cases - Stack Detection: Scans repository files (package.json, lockfiles, pyproject.toml, go.mod, Dockerfile, Terraform) to identify languages, package managers, and available lint/test/build commands, outputting text or machine-readable JSON. - Pipeline Generation: Produces GitHub Actions or GitLab CI YAML with lint, test, and build stages, correct install commands per lockfile (npm ci, pnpm, yarn), and caching configuration. - Deployment Guidance: Reference notes cover deployment gates, branch protection, rollback requirements, and platform decision criteria. - Use Case: When bootstrapping CI for a new Node.js repository, run the stack detector to produce a JSON report, then feed it to the generator to write a ready-to-commit .github/workflows/ci.yml with npm caching and your actual lint/test/build scripts. ## Quick Start Ask the AI to detect the stack in the current repository and generate a GitHub Actions CI workflow file from the detected signals.