Uses metascraper to turn a URL plus its fetched HTML into normalized fields such as title, description, author, date, publisher, and lead image. This is useful when an agent needs reliable preview or briefing data from a page without building a custom parser for every site.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Normalize article metadata from URLs before generating link previews or content briefs"
slug: "normalize-article-metadata-from-urls-before-generating-link-previews-or-content-briefs"
description: "Uses metascraper to turn a URL plus its fetched HTML into normalized fields such as title, description, author, date, publisher, and lead image. This is useful when an agent needs reliable preview or briefing data from a page without building a custom parser for every site."
github_stars: 2660
verification: "listed"
source: "https://github.com/microlinkhq/metascraper"
author: "microlinkhq"
publisher_type: "Organization"
category: "Content Writing & SEO"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "microlinkhq/metascraper"
github_stars: 2660
npm_package: "metascraper"
npm_weekly_downloads: 415958
---
# Normalize article metadata from URLs before generating link previews or content briefs
Uses metascraper to turn a URL plus its fetched HTML into normalized fields such as title, description, author, date, publisher, and lead image. This is useful when an agent needs reliable preview or briefing data from a page without building a custom parser for every site.
## Prerequisites
Node.js and an HTML retrieval step such as fetch, Playwright, or browserless
## Installation
No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.
- Source: https://github.com/microlinkhq/metascraper
## Documentation
- https://metascraper.js.org
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/normalize-article-metadata-from-urls-before-generating-link-previews-or-content-briefs/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.