summarize

Name: summarize
Availability: InStock
Author: kbtime

Summarize long texts into concise summaries with key points and multi-language support.

Updated Feb 20, 2026

Search Tags:#nlp #summary #nodejs #multilingual #summarize #text-summarization #keypoints

Ready to run

npx skills add https://github.com/kbtime/openclaw-workspace --skill summarize-kbtime

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

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.

Core Features & Use Cases

Multi-length summarization: short, medium, or detailed summaries to fit different needs.
Multilingual support and automatic language detection for Chinese and English sources.
Flexible outputs including plain text, JSON with keyPoints, and bullet lists for integration into workflows.
Use case: Quickly summarize meeting notes into a 3-sentence executive summary with bulleted action items for distribution.

Quick Start

Summarize the provided text into a short, three-sentence summary and list the top key points.

Frequently Asked Questions about summarize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I summarize long meeting notes into key points and action items?▼

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.

What is the best way to extract summaries from multilingual articles in Node.js?▼

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.

Can I output text summarization results as JSON with key points for workflow integration?▼

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.

Does automatic language detection work for both Chinese and English text summarization?▼

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.

How do I generate a short three-sentence executive summary from 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.