Word Counter

A comprehensive text analysis tool that counts words, characters, sentences, and paragraphs. Calculates reading time, speaking time, reading level (Flesch-Kincaid), and keyword density.

Overview

This skill provides comprehensive text analysis including word count, character count, sentence/paragraph count, reading/speaking time estimates, readability scoring, and keyword density analysis.

Use Cases

Use when users need to analyze text length, check word count for essays/blogs/social media posts, estimate reading time, assess readability, or analyze keyword frequency for SEO content.

Capabilities

1. Word Count - Accurate word counting handling multiple spaces, line breaks, and special characters
2. Character Count - With and without spaces (useful for Twitter, meta descriptions)
3. Sentence & Paragraph Count - Track document structure
4. Reading Time - Based on 200 words/minute average
5. Speaking Time - Based on 130 words/minute natural pace
6. Reading Level - Flesch-Kincaid grade level estimation
7. Keyword Density - Top keywords ranked by frequency for SEO analysis

Common Word Count Requirements

Content Type	Word Count	Reading Time
X (Twitter) post	40-50	< 1 min
Facebook post	40-80	< 1 min
LinkedIn post	50-100	< 1 min
Email subject line	6-10	< 1 min
Meta description	25-30	< 1 min
Short blog post	300-600	2-3 min
Standard blog post	1,000-1,500	5-7 min
Long-form article	2,000-3,000	10-15 min
College essay	500-5,000	3-25 min

Usage

Basic Analysis

python

from scripts.word_counter import analyze_text

result = analyze_text("Your text here...")
print(result)

Command Line

bash

python scripts/word_counter.py "Your text here"
# or
python scripts/word_counter.py --file path/to/file.txt

Scripts

• scripts/word_counter.py - Main text analysis script

References

• references/formulas.md - Detailed formulas for reading level and time calculations