What is the primary purpose of the Template Registry skill?

It provides a standardized way to manage and validate Railway deployment templates within a registry file, ensuring all entries meet strict schema requirements and architectural standards.

Does this skill support category management?

Yes, it verifies that every template is assigned to a valid, existing category and prevents the addition of templates with undefined category IDs.

Should I edit the templates.yaml file manually?

No, it is recommended to use the provided template_manager.py script through this skill to maintain data integrity, prevent schema violations, and ensure unique IDs.

How does the validation system work?

The skill offers multiple levels of validation: Schema (conformance and types), Semantic (unique IDs and valid references), and Network (URL reachability).

Railway Template Registry Manager

Name: Railway Template Registry Manager
Author: amiable-dev

byamiable-dev

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클라우드 인프라

Manages and validates Railway deployment templates using a standardized registry and schema-driven CLI tools.

소개

The Template Registry skill provides a structured workflow for maintaining a production-ready repository of Railway AI infrastructure templates. It streamlines the management of templates.yaml by enforcing schema validation, verifying category consistency, and providing a robust CLI for adding, updating, or removing entries. This skill is designed to prevent common configuration errors, ensure semantic integrity across template references, and maintain high standards for infrastructure-as-code deployments.

주요 기능

Support for semantic and deep network validation levels
Schema-based registry validation and conformance checking
Strict category and template ID verification
1 GitHub stars
Branch-based workflow enforcement for safer updates
Automated CRUD operations for deployment templates via CLI

사용 사례

Adding new production AI infrastructure to a Railway registry
Validating template configuration files before production deployment
Standardizing the metadata and categorization of cloud deployment assets

소개

주요 기능

Support for semantic and deep network validation levels
Schema-based registry validation and conformance checking
Strict category and template ID verification
1 GitHub stars
Branch-based workflow enforcement for safer updates
Automated CRUD operations for deployment templates via CLI

사용 사례

Adding new production AI infrastructure to a Railway registry
Validating template configuration files before production deployment
Standardizing the metadata and categorization of cloud deployment assets