openapi-schema-best-practices

Automates creation, audit, and maintenance of OpenAPI 3.0 YAML schemas using Meshery's Schema-Driven Development system.

73|147|Updated Sep 30, 2023
One-click install
npx skills add https://github.com/meshery/schemas --skill openapi-schema-best-practices
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openapi-schema-best-practices
Source: https://github.com/meshery/schemas/tree/main/.claude/skills/openapi-schema-best-practices
Command: npx skills add https://github.com/meshery/schemas --skill openapi-schema-best-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires meshery, openapi, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation, audit, and maintenance of OpenAPI schemas in the meshery/schemas repository, ensuring adherence to established conventions and improving schema quality.

Core Features & Use Cases

  • Automated Schema Creation: Generate OpenAPI schemas from Go models or manually define them.
  • Schema Audit: Check for consistency, naming conventions, and reference patterns.
  • Use Case: When working on OpenAPI YAML files, use this Skill to add new API constructs, review schema consistency, or validate $ref patterns.

Quick Start

Use the openapi-schema-best-practices skill to create a new OpenAPI schema for a Golang model named 'model.yaml'.

Frequently Asked Questions about openapi-schema-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate OpenAPI schema creation from Go models?

Automate OpenAPI schema creation from Go models by using Meshery's Schema-Driven Development system to generate OpenAPI 3.0 YAML files. This process ensures schema consistency and adherence to established repository conventions automatically.

How do I audit OpenAPI schemas for naming conventions and reference patterns?

Audit OpenAPI schemas by running consistency checks against naming conventions and validating $ref patterns. This automated schema linting identifies deviations from established conventions to improve overall API schema quality.

What is schema-driven development for OpenAPI YAML files?

Schema-driven development for OpenAPI YAML files is a workflow where API schemas are automatically generated, audited, and maintained using Meshery's SDD system. It ensures consistency checks and schema linting throughout the API lifecycle.

Can I use this OpenAPI schema automation without Meshery's SDD system?

No, this OpenAPI schema automation requires Meshery's Schema-Driven Development system and OpenAPI 3.0 YAML generation. The SDD system provides the core framework for automated schema creation, auditing, and maintenance workflows.

What is the best way to maintain OpenAPI schema consistency in a repository?

The best way to maintain OpenAPI schema consistency is to automate schema auditing and linting with Meshery's SDD system. This enforces established naming conventions and validates $ref patterns across OpenAPI 3.0 YAML files.

Does automated OpenAPI schema generation support manual schema definitions?

Yes, automated OpenAPI schema generation supports both generating schemas from Go models and manually defining them. Both methods utilize Meshery's SDD system to produce OpenAPI 3.0 YAML files that pass consistency audits.