JSON-Compatible YAML Seeds

Validate YAML seed files using JSON-compatible object syntax.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/JDL440/nfl-eval --skill json-compatible-yaml-seeds
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: JSON-Compatible YAML Seeds
Source: https://github.com/JDL440/nfl-eval/tree/main/.squad/skills/json-compatible-yaml-seeds
Command: npx skills add https://github.com/JDL440/nfl-eval --skill json-compatible-yaml-seeds

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the need to validate YAML seed files without adding a parser dependency, enabling lightweight testing and future-proofing for evolving YAML formats.

Core Features & Use Cases

  • Store seeds with a .yaml extension using JSON object syntax to validate structure in tests.
  • Ensure parseability and domain-specific required fields through tests.
  • Provide a clear migration path for switching to a real YAML parser when needed.

Quick Start

Store a seed file with a .yaml extension containing a JSON-style object and run the test suite to validate its parseability.

Frequently Asked Questions about JSON-Compatible YAML Seeds

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

FAQPage Schema
How do I validate a YAML seed file in test pipelines without adding a parser dependency?

You can validate YAML seed files by storing them with a .yaml extension using JSON object syntax. This enables lightweight structure validation in test pipelines without introducing a full YAML parser dependency.

What is a JSON-compatible YAML seed and when do I need this format?

A JSON-compatible YAML seed is a .yaml file containing a JSON-style object structure. You need this format when you want to test parseability and verify required fields in repository testing workflows without heavy parser overhead.

Can I use standard YAML syntax for seed generation workflows or do I need JSON-style objects?

You must use valid YAML syntax with a JSON-like object structure for seed generation workflows. This approach ensures parseability and allows you to verify the presence of domain-specific required fields through tests.

What's the best way to migrate from JSON-compatible YAML seeds to a real YAML parser?

The best way to migrate is to use the clear migration path provided by this approach. Once your testing needs expand, you can switch to a real YAML parser because your structurally sound JSON-compatible seeds remain valid YAML.

What limitations exist when validating YAML seeds with JSON-compatible schemas?

Limitations include requiring a JSON-like object structure and valid YAML syntax. You cannot leverage advanced native YAML features outside the JSON-compatible subset, as tests strictly verify parseability and required fields.

Do I need a full YAML parser to run documentation decisions that rely on structurally sound seeds?

No, you do not need a full YAML parser for documentation decisions relying on structurally sound seeds. You can validate required fields and parseability using lightweight tests with JSON-compatible schemas instead.