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
- Install from the marketplace listing: https://agentskillexchange.com/skills/content-readability-optimizer/
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.