extract

Extract, compress, or transform content from a single Note into specified formats like JSON or bullet points.

10|Updated Jul 22, 2025

Search Tags:#llm #extract #compress #transform #note #content derivation

Ready to run

npx skills add https://github.com/bdambrosio/Cognitive_workbench --skill extract-bdambrosio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extract
Source: https://github.com/bdambrosio/Cognitive_workbench/tree/main/src/tools/extract
Command: npx skills add https://github.com/bdambrosio/Cognitive_workbench --skill extract-bdambrosio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to precisely extract, compress, or transform information from a single Note without introducing new data or performing cross-document analysis.

Core Features & Use Cases

Targeted Information Extraction: Pull specific facts, fields, or sections from a document.
Text Reshaping & Formatting: Convert text into different formats like JSON or bullet points.
Content Compression: Summarize lengthy documents or extract only essential parts.
Use Case: Extract the key architectural innovation from a research paper into a single sentence, or reformat a weather report into a concise briefing.

Quick Start

Use the extract skill to get the methodology section from the document stored in the variable 'paper'.

Frequently Asked Questions about extract

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

FAQPage Schema

How do I extract specific information from a single note without introducing new data?▼

To extract specific facts from a note without introducing new data, use LLM-guided content derivation. This process grounds the output entirely in the source text, pulling targeted sections while ensuring no external information is added.

Can I compress and summarize lengthy documents grounded only in their original text?▼

Yes, you can compress and summarize lengthy documents grounded only in their original text using LLM-guided transformation. This ensures the summarized content strictly reflects the input document without synthesizing information from other sources.

What is the best way to reformat text content into JSON or bullet points from a single source?▼

The best way to reformat text content into JSON or bullet points from a single source is through LLM-driven text reshaping. This transforms the document structure while guaranteeing the output remains completely grounded in the original input.

Does content derivation support cross-document synthesis for generating reports?▼

No, content derivation does not support cross-document synthesis for generating reports. It strictly processes a single Note at a time, ensuring the output is grounded entirely in that specific input and no cross-document analysis occurs.

When should I not use single-note extraction for content transformation?▼

You should not use single-note extraction when you need to synthesize information across multiple documents or introduce new data. This approach is strictly limited to transforming, compressing, or extracting from one source note at a time.