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PythonReactSEOPDF
GitHub Skill

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.

leegonzales☆ 15 仓库 Stars5 仓库 Forks

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。

GitHub ↗

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