How does it handle ambiguous data types in YAML?

It applies explicit quoting where necessary to prevent type surprises (such as strings being interpreted as booleans), ensuring your configuration is safe for downstream tooling.

Does YAML Master support Kubernetes schemas?

Yes, it is specifically designed to validate structure against target systems like Kubernetes, ensuring keys and types are correct before you apply changes.

Can it fix indentation errors automatically?

Absolutely. It identifies the exact location of breaking syntax errors and produces minimal patches to normalize formatting while maintaining the original semantics.

Will it overwrite my entire file when making a fix?

No, the skill is programmed to output minimal patches and diffs, ensuring that only the necessary corrections are made to keep your git history clean.

YAML Master

Name: YAML Master
Author: jeremylongshore

byjeremylongshore

•

883

Deployment & DevOps

Validates, formats, and enforces schema correctness for complex YAML configuration files across Kubernetes, Docker, and CI/CD pipelines.

About

YAML Master provides proactive intelligence for managing YAML-based configurations, ensuring structural integrity and schema compliance for critical DevOps tools. It automatically detects syntax errors like indentation mismatches and duplicate keys, normalizes formatting without altering semantics, and verifies structure against target systems like GitHub Actions and Kubernetes. By generating minimal-diff patches and providing follow-up validation commands, it helps developers maintain reliable infrastructure-as-code while preventing breaking changes in deployment pipelines.

Key Features

Schema-aware verification for Kubernetes, Docker Compose, and GitHub Actions
Minimal-diff patching to preserve file readability and history
Proactive identification of risky patterns like incorrect anchors or duplicate keys
Normalization of formatting and quoting to prevent ambiguous type errors
883 GitHub stars
Automated syntax validation and indentation error detection

Use Cases

Converting JSON configuration blobs into standardized, production-grade YAML
Validating Kubernetes manifests against structural expectations before deployment
Debugging and fixing indentation errors in complex CI/CD workflow files

About

Key Features

Schema-aware verification for Kubernetes, Docker Compose, and GitHub Actions
Minimal-diff patching to preserve file readability and history
Proactive identification of risky patterns like incorrect anchors or duplicate keys
Normalization of formatting and quoting to prevent ambiguous type errors
883 GitHub stars
Automated syntax validation and indentation error detection

Use Cases

Converting JSON configuration blobs into standardized, production-grade YAML
Validating Kubernetes manifests against structural expectations before deployment
Debugging and fixing indentation errors in complex CI/CD workflow files