# Bytesagain Doc Summarizer

> 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.

- Skill: `bytesagain/bytesagain-doc-summarizer` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add bytesagain/bytesagain-doc-summarizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bytesagain/bytesagain-doc-summarizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: bytesagain (https://skillmd.com/u/bytesagain)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/bytesagain/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

```bash
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.