Summarize provided text using a local language model with adjustable length and focus.
npx skills add https://github.com/anzx01/LocalClaw --skill summarize-anzx01
Please help me install this Agent Skill. Skill: summarize Source: https://github.com/anzx01/LocalClaw/tree/main/bundled_skills/summarize Command: npx skills add https://github.com/anzx01/LocalClaw --skill summarize-anzx01
Users often have long passages, notes, or articles that they need to understand quickly, but manually reading and extracting the main points is time‑consuming.
Summarize the attached meeting notes to a short, key‑point overview.
High-intent search queries and answers about installing and using this skill.
You can summarize text or notes by providing the content to the local model, which generates a concise recap preserving the original language without sending data externally.
Yes, you can customize the text summary length to short, medium, or long, and specify a focus area such as key facts or takeaways to tailor the output.
Text summarization works with meeting transcripts, research notes, and lengthy emails, turning them into brief, actionable summaries using your configured local LLM.
No internet connection is needed because the summarization process runs entirely on your configured local language model, ensuring your text data remains private.
The summarization feature supports any language, as it preserves the original language of the input text when generating the summary through the local model.
Summarization with a local model is limited by the model's token limits and requires sufficient local compute resources to process long passages or notes effectively.
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