Word Counter#

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 TypeWord CountReading TimeX (Twitter) post40-50< 1 minFacebook post40-80< 1 minLinkedIn post50-100< 1 minEmail subject line6-10< 1 minMeta description25-30< 1 minShort blog post300-6002-3 minStandard blog post1,000-1,5005-7 minLong-form article2,000-3,00010-15 minCollege essay500-5,0003-25 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