Summarize URLs, YouTube videos, PDFs, and text files into concise overviews.
npx skills add https://github.com/HKUDS/nanobot --skill summarize-hkuds
Please help me install this Agent Skill. Skill: summarize Source: https://github.com/HKUDS/nanobot/tree/main/nanobot/skills/summarize Command: npx skills add https://github.com/HKUDS/nanobot --skill summarize-hkuds
This skill streamlines turning long URLs, podcasts, and local documents into concise summaries, enabling faster understanding and decision-making.
summarize "https://example.com" --model google/gemini-3-flash-preview summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto
High-intent search queries and answers about installing and using this skill.
To summarize YouTube videos and web pages, you provide the URL to the tool, which fetches transcripts and text to generate concise overviews. It targets URLs directly to extract essential takeaways quickly.
You can use different AI models like Google Gemini, OpenAI, or Anthropic to summarize documents by passing the specific model flag. This requires configuring the respective API keys in your environment first.
The best way to extract key points from local PDF files and text transcripts is using a CLI tool that processes local paths directly. It reads local documents to deliver crisp summaries and essential takeaways for quick reading.
Yes, you need API keys configured in your environment to generate summaries from podcasts and local files. The summarization process relies on external providers like OpenAI, Anthropic, or Google Gemini.
To get a section-specific extraction from a long web page transcript, you can use length and formatting flags supported by the CLI. This allows you to target specific sections or request longer extractions across diverse sources.
Summarizing a URL fails without environment variables because the CLI binary requires configured API keys to communicate with providers like OpenAI or Google Gemini. Without these keys, the underlying AI models cannot process the text.
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HKUDSSummarize URLs, YouTube videos, PDFs, and text files into concise overviews.
adoreseverSummarize text from URLs, transcripts, and local files into concise summaries.
