Summarize long texts into concise summaries with key points and multi-language support.
npx skills add https://github.com/kbtime/openclaw-workspace --skill summarize-kbtime
Please help me install this Agent Skill. Skill: summarize Source: https://github.com/kbtime/openclaw-workspace/tree/main/skills/summarize Command: npx skills add https://github.com/kbtime/openclaw-workspace --skill summarize-kbtime
Long documents, articles, meeting notes, and multilingual text are time-consuming to read and extract actions from; this Skill converts verbose content into concise summaries and highlights key points so users can quickly grasp the essentials.
Summarize the provided text into a short, three-sentence summary and list the top key points.
High-intent search queries and answers about installing and using this skill.
To summarize meeting notes, this Skill converts verbose text into concise summaries and extracts key points. It generates bulleted action items and multi-length outputs so you can quickly grasp essentials for distribution.
The best way to extract summaries from multilingual articles is using NLP text summarization with automatic Chinese and English language detection. It processes long articles and outputs variable-length summaries in text, JSON, or bullet formats.
Yes, you can output text summarization results as JSON with extracted key points. The Skill supports plain text, JSON, and bullet list formats, enabling seamless integration of summarized content into downstream automated workflows.
Yes, automatic language detection works for Chinese and English text summarization. It identifies the source language during processing, ensuring accurate multi-length summarization and key point extraction for multilingual articles and technical documents.
To generate a short executive summary from technical documents, specify a three-sentence length constraint. The Skill condenses verbose technical content into short, medium, or detailed summaries and lists top key points for quick review.
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