Analyze text for word count, reading time, complexity metrics, and readability scores. Use when user asks to analyze document length, calculate reading time, or assess text complexity.
Resources
4Install
npx skillscat add leegonzales/aiskills/text-statistics Install via the SkillsCat registry.
SKILL.md
Text Statistics
Quick analysis of text metrics including word count, reading time, complexity, and readability.
When to Use
Invoke when user:
- Asks "how long is this text?"
- Wants reading time estimates
- Needs complexity or readability scores
- Says "analyze this document" or "how many words?"
Core Capabilities
1. Basic Metrics
Word Count
- Total words
- Unique words
- Average word length
Character Count
- With and without spaces
- Alphanumeric vs punctuation
Reading Time
- Assuming 200-250 words/minute
- Adjusted for complexity
2. Complexity Analysis
Sentence Structure
- Average sentence length
- Sentence length variance
- Simple vs complex sentences
Vocabulary
- Unique word ratio
- Long word percentage (7+ chars)
- Syllable count estimates
3. Readability Scores
Flesch Reading Ease
- 0-100 scale
- Higher = easier to read
Grade Level Estimate
- US grade level equivalent
- Based on sentence/word complexity
Output Format
TEXT STATISTICS REPORT
=====================
Basic Metrics:
- Word Count: X (Y unique)
- Character Count: X (Y without spaces)
- Reading Time: X-Y minutes
Complexity:
- Avg Sentence Length: X words
- Long Words (7+ chars): X%
- Vocabulary Richness: X%
Readability:
- Flesch Score: X/100 (Level)
- Grade Level: X
Interpretation:
[Brief assessment of text complexity and audience appropriateness]Examples
See references/examples.md for analyzed samples.
Integration
Standalone skill. Useful before:
- Prose Polish (get baseline metrics)
- Content generation (target metrics)