# Article Enrichment

Enhances knowledge base articles with metadata, cross-references, related content links, and consistent formatting to improve discoverability and usefulness.

## Capabilities

- Adds structured metadata — categories, tags, difficulty levels — to articles
- Generates cross-references and related article links based on content analysis
- Normalizes formatting to match your knowledge base style guide
- Suggests content improvements — missing sections, unclear instructions, outdated terminology

## Part of These Solutions

Operations\
Knowledge Maintenance\
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End-to-end knowledge base management from content creation through review and publication, with AI-powered freshness monitoring, article enrichment, and structured review workflows.

## Overview

The Article Enrichment skill processes knowledge base articles and enhances them with the metadata, cross-references, and formatting consistency that make content discoverable and useful. It handles the enrichment work that would otherwise require editors to manually tag, link, and format every article.

## How It Works

Articles are processed through a multi-stage pipeline: metadata extraction, cross-reference generation, formatting normalization, and improvement suggestion. The skill analyzes article content to assign appropriate categories, tags, and difficulty levels. It identifies related articles and generates cross-reference links. Formatting is normalized to match your style guide, and the skill suggests improvements where content could be clearer or more complete.

The enrichment schema is configurable — you define the metadata fields, formatting rules, and quality standards that matter to your team.

## Deploy this skill

See how Article Enrichment fits into your workflow.