Author and validate JSON Schema contracts for configuration files and API payloads.
npx skills add https://github.com/JayRHa/AgentSkills --skill json-schema-author
Please help me install this Agent Skill. Skill: json-schema-author Source: https://github.com/JayRHa/AgentSkills/tree/main/json-schema-author Command: npx skills add https://github.com/JayRHa/AgentSkills --skill json-schema-author
This skill helps you design, author, and validate JSON Schemas (Draft 2020-12 and Draft-07) for configuration files and HTTP/REST APIs, enabling precise typing, constraints, and human-friendly error messages.
$defs usage to promote consistency across projects and OpenAPI components.Draft a strict JSON Schema for a simple API config and test it against a sample payload.
High-intent search queries and answers about installing and using this skill.
To design and validate a JSON Schema for API payloads, you define strict typing, constraints, and conditional logic using Draft 2020-12 or Draft-07. This ensures structure enforcement and generates human-friendly error messages for invalid data.
The best way to enforce JSON Schema contracts for configuration files is authoring schemas with precise typing and constraints. Using linting and meta-schema validation verifies that your config schemas behave as intended against sample payloads.
Yes, you can use JSON Schema $defs for reusable OpenAPI components. Defining reusable patterns and $defs promotes consistency across your projects, ensuring shared structures validate correctly within your API workflows.
Yes, this JSON Schema authoring approach fully supports both Draft 2020-12 and Draft-07. It applies schemas to govern structure, validation, and error messaging across OpenAPI, config files, and data interchange formats.
You add custom error messages to JSON Schema validation by applying curated error messaging techniques during schema design. This allows your config and API schemas to output human-friendly errors instead of default validation failures.
You use JSON Schema for OpenAPI data validation because it satisfies requirements for precise typing, keywords, $defs, and conditional logic. It governs structure, validates interchange data, and provides curated error messaging beyond plain types.
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