Content Readability Optimizer

Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions.

Content Readability Optimizer

Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions.

Installation

Method 1, Agent Skill Exchange

Method 2, Git clone

git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/content-readability-optimizer

Method 3, Download ZIP

  • Download the repository ZIP and extract skills/content-readability-optimizer.

Method 4, Manual copy

  • Copy this skill folder into your local skills directory, then reload your agent tooling.

Method 5, Fork and sync

  • Fork the repository if you want to maintain local edits while syncing upstream changes.

Source