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matteotitta
matteotittaCOMMUNITY
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skill-reviewer

Evaluates SKILL.md files against an 8-dimension quality framework.

29|12|Updated Mar 30, 2026
Search Tags:#quality assurance#documentation#validation#audit#skill-development#meta-tooling
One-click install
npx skills add https://github.com/matteotitta/genesys-skills --skill skill-reviewer-matteotitta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-reviewer
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/meta/catalog/skill-reviewer
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill skill-reviewer-matteotitta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures that new or modified skill definitions meet the required structural and quality standards before they are deployed, preventing drift and ensuring consistency across the library.

Core Features & Use Cases

  • Structural Auditing: Evaluates SKILL.md files against 8 canonical dimensions including frontmatter, triggers, and process logic.
  • Actionable Feedback: Provides a scored report with specific pass/fail findings and fix suggestions.
  • Use Case: After drafting a new skill for your GTM stack, run this reviewer to catch missing guardrails or incomplete input definitions before shipping it to your production environment.

Quick Start

Invoke the skill-reviewer to audit the SKILL.md file located in the current directory.

Frequently Asked Questions about skill-reviewer

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

FAQPage Schema
How do I audit a SKILL.md file for structural integrity and quality?▼

Quality assurance for skill development requires validating SKILL.md files against predefined dimensions including frontmatter, triggers, and process logic. This catches missing guardrails or incomplete input definitions before deployment, preventing drift across an AI-agent skill library.

What does validation of AI-agent skill definitions check for?▼

AI-agent skill definitions require validation against 8 canonical dimensions covering frontmatter, triggers, and process logic. This ensures operational consistency and prevents structural drift before skills are deployed to a production environment.

Can I use automated quality assurance to catch missing guardrails in skill documentation?▼

Automated quality assurance catches missing guardrails in skill documentation by auditing SKILL.md files against an 8-dimension framework. It outputs a scored report with specific pass/fail findings and actionable fix suggestions for incomplete input definitions.

How do I generate an actionable quality report for SKILL.md files?▼

Generate an actionable quality report for SKILL.md files by parsing YAML frontmatter and applying section-level analysis against an 8-dimension framework. The output provides scored pass/fail findings and specific fix suggestions to correct structural inconsistencies.

When do I need to run a structural audit on my AI skill library?▼

Run a structural audit on your AI skill library after drafting or modifying skill definitions. This pre-deployment validation ensures new SKILL.md files meet operational consistency standards and prevents quality drift before shipping to your production environment.

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