yaml-master

Validate, lint, and convert YAML files across Kubernetes and CI/CD workflows.

Updated Jan 29, 2026
One-click install
npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill yaml-master-novaai-innovation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yaml-master
Source: https://github.com/NovaAI-innovation/Infinite-Agency/tree/main/.qwen/skills/yaml-master
Command: npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill yaml-master-novaai-innovation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the validation, linting, conversion, and optimization of YAML files, preventing syntax errors and ensuring adherence to best practices across various configurations and workflows.

Core Features & Use Cases

  • Intelligent Validation: Catches syntax errors, anti-patterns, and schema mismatches.
  • Format Conversion: Seamlessly converts between YAML, JSON, TOML, and XML.
  • Kubernetes & Docker Compose Expertise: Validates and optimizes manifests and compose files.
  • CI/CD Optimization: Improves GitHub Actions, GitLab CI, and CircleCI workflows.
  • Use Case: Automatically validate a new Kubernetes deployment YAML file, ensuring it adheres to best practices and is syntactically correct before applying it to your cluster.

Quick Start

Use the yaml-master skill to validate the syntax of the file named 'deployment.yaml'.

Frequently Asked Questions about yaml-master

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

FAQPage Schema
How do I validate Kubernetes manifests for syntax errors and anti-patterns?

YAML validation for Kubernetes manifests catches syntax errors, anti-patterns, and schema mismatches before application. It checks deployment files against best practices, ensuring configurations are structurally sound and syntactically correct for cluster deployment.

What is the best way to convert YAML configuration files to JSON or TOML?

Format conversion seamlessly transforms YAML files into JSON, TOML, and XML formats. This allows you to translate configuration structures between different formats while preserving the underlying data hierarchy and relationships.

Can I lint and optimize CI/CD pipelines defined in YAML?

Linting and optimization improve CI/CD pipelines defined in YAML. It analyzes GitHub Actions, GitLab CI, and CircleCI workflows to enforce best practices and optimize structural transformations across the configuration.

Does this YAML linter support Docker Compose files?

Yes, Docker Compose files are fully supported for validation and optimization. It applies deep understanding of YAML specifications to catch schema mismatches and enforce best practices specifically within Docker Compose configurations.

Why does my YAML schema inference fail on complex configurations?

Schema inference and structural transformations may fail if the YAML contains deep anti-patterns or severe syntax errors. Proactive YAML intelligence identifies these structural mismatches, preventing processing failures across various configuration workflows.