fixing-metadata

Detect and correct frontmatter metadata issues across Markdown pages.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/seflless/dot-agents --skill fixing-metadata-seflless
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fixing-metadata
Source: https://github.com/seflless/dot-agents/tree/main/skills/fixing-metadata
Command: npx skills add https://github.com/seflless/dot-agents --skill fixing-metadata-seflless

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps ensure metadata is correct, unique, and centralized to prevent duplication and errors across pages.

Core Features & Use Cases

  • Centralizes metadata definitions to avoid drift.
  • Detects common metadata issues and suggests fixes.
  • Improves page discoverability and consistency across docs.

Quick Start

Review the current page metadata and apply the suggested frontmatter fixes.

Frequently Asked Questions about fixing-metadata

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

FAQPage Schema
How do I fix frontmatter metadata inconsistencies across Markdown pages?

To fix frontmatter metadata inconsistencies across Markdown pages, use deterministic checks to detect duplicates, missing fields, and misordered values. This process provides fixed suggestions while preserving existing content and correcting metadata.

What causes duplicate metadata fields in documentation sites?

Duplicate metadata fields in documentation sites are caused by decentralized definitions that drift over time. Centralizing metadata definitions prevents duplication and errors, improving page discoverability and consistency across docs.

How do I validate YAML frontmatter for missing fields?

You validate YAML frontmatter for missing fields by applying deterministic checks to your Markdown-based pages. These checks identify missing values, detect duplicates, and provide fixed suggestions to correct metadata.

Can I correct misordered metadata values without losing existing content?

Yes, you can correct misordered metadata values without losing existing content. The validation process preserves existing content while applying deterministic checks to suggest fixes for misordered values across your pages.

Does this metadata lint process work for large content sites?

This metadata lint process works for documentation or content sites by applying deterministic checks across pages. It centralizes metadata definitions to avoid drift and improve consistency regardless of site scale.