π¦ ClawHubβ¦ BytesAgain
Bytesagain Doc Summarizer
by @loutai0307-prog
Summarize and analyze text documents without external APIs. Use when extracting key points from reports, ranking bullet points, identifying keywords, checkin...
TERMINAL
clawhub install bytesagain-doc-summarizerπ About This Skill
description: "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." author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills
bytesagain-doc-summarizer
Summarize, analyze, and extract insights from text documents. Supports extractive summarization, keyword extraction, readability stats, outline detection, and document comparison β all without external APIs.
Usage
bytesagain-doc-summarizer summary
bytesagain-doc-summarizer bullets
bytesagain-doc-summarizer keywords
bytesagain-doc-summarizer stats
bytesagain-doc-summarizer outline
bytesagain-doc-summarizer compare
Commands
summary β Extract 3-5 key sentences as an extractive summarybullets β Generate ranked bullet points from most important sentenceskeywords β Extract and rank top 20 keywords with frequency chartstats β Word count, sentence count, reading time, and text metricsoutline β Detect document structure from Markdown headers or numbered sectionscompare β Compare vocabulary overlap and unique terms between two documentsExamples
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
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.
β‘ 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.
π‘ 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