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

Search Tags:#archive #summarize #note #fulltext #double-linking #60_Notes

Ready to run

npx skills add https://github.com/dull-bird/DeepOrbit --skill do-note-summary

💬 Prompt for ChatGPT / Claude Chat▼

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.