summariser

Condense long-form text into structured summaries and actionable takeaways.

6|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill summariser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summariser
Source: https://github.com/luispabon/ai-bits-and-pieces/tree/main/skills/summariser
Command: npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill summariser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates information overload by distilling lengthy transcripts, articles, and meeting notes into structured, actionable summaries, allowing you to grasp core concepts without reading every word.

Core Features & Use Cases

  • Structured Summarization: Automatically generates overviews, key points, and takeaways from raw text or URLs.
  • Context-Aware Q&A: Enables follow-up questions on previously summarized content without re-triggering the full summary template.
  • Use Case: Quickly process a 60-minute meeting transcript to identify key decisions and assigned action items for your team.

Quick Start

Use the summariser skill to condense the text from the provided URL or pasted transcript into a structured summary.

Frequently Asked Questions about summariser

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

FAQPage Schema
How do I summarize a long meeting transcript into key takeaways?

You can summarize meeting transcripts by pasting raw text or a URL. The tool automatically generates structured overviews, key points, and actionable takeaways from the long-form content.

Can I ask follow-up questions about a transcript after it has been summarized?

Yes, the summarizer supports context-aware follow-up Q&A on existing summarized material. You can query the source content for specific details without re-triggering the full summary template.

What is the best way to condense web content and articles into a structured overview?

The best way to condense web content is providing the article URL. The skill extracts the text and formats it into a structured summary containing overviews, key points, and actionable takeaways.

Does the summarization tool require any specific text extraction setup?

The summarization tool requires text extraction capabilities to process URLs and raw content. It relies on these capabilities to gather source material before applying its structured output template.

Are there limitations when processing very long-form text for a TLDR summary?

Processing very long text into a TLDR summary depends on underlying text extraction capabilities. The tool adheres to a specific output template for initial processing to ensure structured, actionable results.