What problem does it solve? Platform teams often ship template catalogs that teams clone once and abandon, leaving security fixes and upgrades unable to reach existing services. This Skill turns golden paths into versioned, upgradable products with measurable adoption instead of one-off scaffolds. ## Core Features & Use Cases - Maturity assessment and TVP scoping: Locate the org on a 3-level golden-path maturity model, score candidate paths by frequency, pain, and ease, and write a falsifiable product hypothesis for one Thinnest Viable Platform slice. - Path product design: Define Backstage Software Template parameter schemas, Crossplane XRD/composition boundaries (or Radius Resource Types for Azure-first estates), break-out routes, and a full service contract with owner, SLO, and deprecation policy. - CI gates and machine-consumability: Specify KubeLinter, OPA, and Kyverno checks with warn-to-block promotion, scorecard maturity tiers, and API-driven path steps with explicit definitions of done so AI agents can execute the same paths humans use. - Use Case: A GPU research division needs self-service experiment onboarding. Use this Skill to score candidate paths, design a Backstage template plus Crossplane GPUTrainingEnvironment abstraction, define policy gates, and set lifecycle-phase adoption KPIs before launch. ## Quick Start Use the golden-path-designer skill to design a versioned self-service golden path for onboarding a new ML experiment, including the Backstage template schema, Crossplane abstraction, CI policy gates, and adoption KPI plan.
