summarize

Summarize web articles, video transcripts, and local documents into structured insights.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/wangqianCAI/OBI --skill summarize-wangqiancai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/wangqianCAI/OBI/tree/main/skills/summarize
Command: npx skills add https://github.com/wangqianCAI/OBI --skill summarize-wangqiancai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the information overload problem by rapidly condensing lengthy URLs, videos, podcasts, and documents into actionable summaries, saving users from spending hours consuming raw content.

Core Features & Use Cases

  • Multi-Format Support: Processes YouTube videos, podcasts, articles, PDFs, and local files through a unified interface.
  • Flexible Output: Provides options for short, medium, or long summaries, as well as raw transcript extraction for deep dives.
  • Use Case: A researcher can use this to quickly summarize a 2-hour technical YouTube lecture or a 50-page PDF report to identify key takeaways before deciding whether to read the full source.

Quick Start

Use the summarize skill to provide a concise summary of the article located at the provided URL.

Frequently Asked Questions about summarize

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

FAQPage Schema
How do I summarize a YouTube video or podcast transcript into key takeaways?

You can summarize a YouTube video or podcast by providing its URL to the Skill, which processes the transcript and extracts key themes into a structured summary. This allows rapid synthesis of media content without manual transcription.

Can I extract concise insights from a local PDF document or web article?

You can extract concise insights from local PDFs and web articles by providing the file path or URL to the Skill. It leverages LLM processing to condense lengthy documents into actionable summaries for research and curation.

Does the summarization tool support different lengths for content analysis output?

The summarization tool supports flexible output lengths, offering short, medium, and long summary options. Users can also extract raw transcripts for deep dives when detailed information synthesis is required.

What is the best way to distill long-form research content into structured insights?

The best way to distill long-form research content is to use an LLM-based summarization Skill that identifies key data points from URLs or files. This process extracts structured insights, saving hours of manual reading.

Are there limitations when summarizing diverse digital content like local files and URLs?

A known limitation is that the Skill requires accessible URLs or local file paths to process content. If the source material is restricted behind authentication or the file path is invalid, the LLM cannot extract the summary.