text-statistics
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.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
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)
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-31
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
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