Bytesagain Doc Summarizer

Data & APIs

Summarize and analyze text documents without external APIs. Use when extracting key points from reports, ranking bullet points, identifying keywords, checking document quality, or comparing two versions.

Install

openclaw skills install bytesagain-doc-summarizer

bytesagain-doc-summarizer

Summarize, analyze, and extract insights from text documents. Supports extractive summarization, keyword extraction, readability stats, outline detection, and document comparison — all without external APIs.

Usage

bytesagain-doc-summarizer summary <file>
bytesagain-doc-summarizer bullets <file>
bytesagain-doc-summarizer keywords <file>
bytesagain-doc-summarizer stats <file>
bytesagain-doc-summarizer outline <file>
bytesagain-doc-summarizer compare <file1> <file2>

Commands

  • summary — Extract 3-5 key sentences as an extractive summary
  • bullets — Generate ranked bullet points from most important sentences
  • keywords — Extract and rank top 20 keywords with frequency chart
  • stats — Word count, sentence count, reading time, and text metrics
  • outline — Detect document structure from Markdown headers or numbered sections
  • compare — Compare vocabulary overlap and unique terms between two documents

Examples

bytesagain-doc-summarizer summary report.txt
bytesagain-doc-summarizer bullets meeting-notes.md
bytesagain-doc-summarizer keywords article.txt
bytesagain-doc-summarizer stats essay.md
bytesagain-doc-summarizer outline documentation.md
bytesagain-doc-summarizer compare v1.txt v2.txt

Requirements

  • bash
  • python3

When to Use

Use when you need to quickly digest long documents, extract key points from reports, analyze text metrics, or compare two document versions for content differences.