What problem does it solve? New branches and projects often ship code before any CI exists, leaving merges ungated until a pipeline is retrofitted at PR time. This Skill detects the CI platform and project stack, then produces a pipeline specification and working configuration before any feature code is written. ## Core Features & Use Cases - Platform Detection and Config Generation: Detects GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, or Bitbucket Pipelines from existing config files and generates the matching pipeline YAML with lint, type check, test, security scan, build, and deploy stages. - Pipeline Spec Document: Writes a technology-agnostic specification covering stage ordering, coverage gates (80% line), mutation testing thresholds, SLSA/SBOM supply-chain integrity, secrets management, and branch protection rules. - Reviewer Validation Loop: Dispatches a ci-reviewer agent on the generated artifacts and iterates fixes until all Critical findings are resolved before committing. - Use Case: After creating a worktree for a new feature in a Python project with no CI, run this Skill to produce a GitHub Actions workflow with coverage gates, Dependabot config, and branch protection guidance committed on the first push. ## Quick Start Set up a CI pipeline for this repository before I start writing feature code, detecting the platform and generating the config plus spec document.
