What problem does it solve?
CI/CD and release automation changes often become risky and hard to verify because pipelines fail for unclear reasons, secrets or environments leak into logic, and quality gates are not consistently enforced.
Core Features & Use Cases
- Quality gates for release readiness: Ensures deterministic checks are wired into final validation (for example, an
npm run check-style gate) so failures are visible early.
- Secret-safe, rollback-aware automation design: Guides how to handle secrets, define least privilege, add dry-run/read-only verification, and document rollback/yank paths when publishing or deployment is involved.
- Actionable failure semantics: Requires automation to produce actionable output (no silent fallback, no hidden flaky retries) and to stop with BLOCKED/PARTIAL when required evidence is missing.
Use case example: You want to add a new release pipeline quality gate that validates the skill’s content deterministically, emits an automation readiness plan with verification commands and exit codes, and blocks the release if the evidence is incomplete.
Quick Start
Ask your AI tool to plan and implement a CI/CD quality gate for your repository with dry-run verification and rollback documentation, and to output an automation readiness plan before any writes.
