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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 とは？

Content Readability Optimizer is a Claude Code agent skill that 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.

対応~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/content-readability-optimizer

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ドキュメント

Content Readability Optimizer は何をしますか？

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

Use the upstream install or setup path that matches your environment:

pip install textstat
git clone https://github.com/textstat/textstat.git
pip install .
$ git clone https://github.com//textstat.git # Clone the repo from your fork

Requirements and caveats from upstream:

python
You can install textstat either via the Python Package Index (PyPI) or from source.
Download the latest version of textstat from http://pypi.python.org/pypi/textstat/

Basic usage or getting-started notes:

import textstat
test_data = (
"Playing games has always been thought to be important to "
Source: https://github.com/textstat/textstat
Extracted from upstream docs: https://raw.githubusercontent.com/textstat/textstat/HEAD/README.md

Source

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