Summarize text from URLs, transcripts, and local documents with CLI flags.
npx skills add https://github.com/majunbao/learn --skill summarize-majunbao
Please help me install this Agent Skill. Skill: summarize Source: https://github.com/majunbao/learn/tree/main/openclaw_tags/openclaw-2026.3.2/skills/summarize Command: npx skills add https://github.com/majunbao/learn --skill summarize-majunbao
This Skill helps users quickly turn long-form content into concise summaries by processing URLs, audio transcripts, and local documents.
Summarize the content of a URL or local file by using the summarize command.
High-intent search queries and answers about installing and using this skill.
To summarize video transcripts and podcasts quickly, you process the audio transcripts directly to extract key takeaways and themes. This reduces hours of listening into a short, actionable text overview for rapid understanding.
Yes, you can summarize web pages and articles by providing a URL. The tool processes the online content to extract key themes, supporting fast decision-making and research without manual text extraction.
Yes, summarizing local documents requires the summarize CLI, while optional API keys can be configured for advanced processing. You can use flags like --length and --json to control the output format and size of the document summaries.
The best way to get structured JSON output from a long transcript is to use the --json flag with the summarize CLI. This converts extracted key takeaways from podcasts or articles into structured data for programmatic use.
Yes, this approach works for both local files and online URLs. It uniformly processes articles, podcast transcripts, and web pages to extract concise summaries and themes, regardless of whether the source content is local or online.
HKUDSSummarize URLs, YouTube videos, PDFs, and text files into concise overviews.
Happy-Technologies-LLCSummarize knowledge base articles into executive summaries, TL;DR bullets, and key takeaways.
lfnovoExtract and normalize text from URLs, PDFs, documents, and media.
h4vzzSummarize long-form text using extractive, abstractive, hierarchical, and multi-document approaches.
