meta-skill-validation-dev

Validate Claude Code skills against best practices for structure and content quality.

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/aRustyDev/git-atomic --skill meta-skill-validation-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-skill-validation-dev
Source: https://github.com/aRustyDev/git-atomic/tree/main/.claude/skills/meta-skill-validation-dev
Command: npx skills add https://github.com/aRustyDev/git-atomic --skill meta-skill-validation-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a framework and templates to validate Claude Code skills, ensuring consistency, quality, and actionable feedback for improvements or publication readiness.

Core Features & Use Cases

  • Quick validation of skill frontmatter and structure
  • Pillar-based quality checks and issue templates for improvements
  • Generates actionable validation artifacts (checklists, templates, and guidance) to streamline skill refinement

Quick Start

Run the validation commands to verify skill structure, generate pillar checks, and produce improvement issues as needed.

Frequently Asked Questions about meta-skill-validation-dev

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

FAQPage Schema
How do I validate Claude Code skills for structure and frontmatter consistency?

You can validate Claude Code skills by running quick, standard, or deep validation workflows to check frontmatter, naming conventions, and overall structure for publication readiness.

What is pillar coverage in skill validation and why does it matter?

Pillar coverage is a quality check that assesses whether a skill meets established best practices across core dimensions. It detects content gaps and generates actionable issue templates for remediation.

How do I generate checklists and templates to fix Claude Code skill issues?

Run the deep validation workflow to automatically generate actionable artifacts like checklists, issue templates, and automation recipes designed to streamline skill refinement and correct detected gaps.

Can I check token budgets and template integrity across multiple Claude Code skills?

Yes, the standard and deep validation workflows support assessing token budgets and template integrity across skills, ensuring structured outputs and correctly defined automation recipes.

What is the best way to ensure my custom skills meet Claude Code best practices before publishing?

Use a validation framework that checks naming, frontmatter, and pillar coverage to detect quality gaps. This generates structured outputs and improvement issues to ensure publication readiness.

Are there limitations when validating complex Claude Code skill automation recipes?

Validation focuses on structure, frontmatter, and content quality to detect gaps. It ensures automation recipes are correctly defined but does not execute the recipes to test their runtime behavior.