reading-level

To check the readability of AEM Edge Delivery Services pages, this skill extracts text from the page's .plain.html rendition and computes Flesch-Kincaid Grade Level and Reading Ease metrics. It then flags long sentences, jargon, and passive voice while providing targeted rewrite recommendations.

You can simplify confusing copy on your EDS page by requesting a section-by-section readability audit. The skill identifies complex word clusters and dense paragraphs, then generates concrete, paste-ready simplified rewrites that preserve your original meaning and authoring constraints.

Readability metrics used to score content clarity include Flesch-Kincaid Grade Level, Flesch Reading Ease, and average sentence length. These quantified indicators measure the difficulty of your AEM Edge Delivery Services prose for general or technical audiences.

No, this readability audit does not work with non-English AEM content. The skill operates under English-only analysis assumptions to accurately compute readability metrics and flag passive constructions or jargon within your Edge Delivery Services text.

Yes, you can detect passive voice and jargon in your AEM page content. The skill performs problem detection by flagging specific clarity issues that block comprehension, including long sentences, complex word clusters, and passive constructions with their targeted locations.

The best way to audit existing EDS prose for technical audiences is to provide your page URL for analysis. The skill fetches the content, calculates readability scores, and produces quantified metrics alongside section-level rewrite recommendations to lower comprehension cost.