do.note_summary

Fetch complete text from URLs or local paths and archive structured markdown summaries into 60_Notes.

6|3|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/dull-bird/DeepOrbit --skill do-note-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: do.note_summary
Source: https://github.com/dull-bird/DeepOrbit/tree/main/skills/do.note-summary
Command: npx skills add https://github.com/dull-bird/DeepOrbit --skill do-note-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of turning scattered web content, PDFs, and local documents into consistent, fully-text summaries that are automatically archived into the DeepOrbit 60_Notes structure.

Core Features & Use Cases

  • Strict content harvesting: fetches the complete text rather than abstracts or metadata, ensuring high-fidelity summaries.
  • Intelligent extraction and categorization: identifies a main title, determines a category (e.g., academic article, blog post, or transcript), and produces a structured summary ready for archival.
  • Automatic archiving and linking: saves the summary under 60_Notes/Category/Main Title and establishes a double-link to the source materials; moves original content alongside the summary when applicable.

Quick Start

Invoke the /do:note_summary with a URL, local file path, or content name to generate a full-text summary and archive it into 60_Notes.

Frequently Asked Questions about do.note_summary

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

FAQPage Schema
How do I summarize and archive web content into structured markdown notes?

To summarize and archive web content, you provide a URL or local file path. The tool fetches the complete text, generates a structured markdown summary, and automatically archives it into the 60_Notes directory with double-linking to the source.

Does the note summary tool fetch full text or just metadata from URLs?

The note summary process fetches the complete full text from URLs rather than relying on abstracts or metadata. This strict content harvesting ensures high-fidelity summaries for your archived notes.

What is the best way to automatically categorize and link local documents in a note archive?

The best way to categorize and link local documents is using an automated archival workflow that identifies a main title, determines a category, and saves the summary under 60_Notes with double-linking to the original source materials.

Can I use this to generate summaries for academic papers and blog posts?

Yes, you can generate summaries for academic papers, blog posts, and transcripts. The system intelligently categorizes the content type and produces a structured markdown summary ready for archival.

How to handle errors when archiving full-text summaries from local paths?

Archiving full-text summaries includes deterministic handling and error checks during the end-to-end workflow. This ensures source management issues are caught when processing local paths or URLs.