extract

Extract structured information from documents, emails, and reviews.

3|4|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/nicsuzor/academicOps --skill extract-nicsuzor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: extract
Source: https://github.com/nicsuzor/academicOps/tree/main/aops-core/skills/extract
Command: npx skills add https://github.com/nicsuzor/academicOps --skill extract-nicsuzor

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of extracting valuable information from diverse sources like documents, emails, and reviews, ensuring data is captured and routed correctly for further processing or storage.

Core Features & Use Cases

  • Unified Extraction Entry Point: Acts as a central hub for various extraction needs, intelligently routing tasks to specialized workflows.
  • Data Categorization: Differentiates between training data, archival information, and critical decisions.
  • Use Case: You have a folder of customer feedback emails and a set of research papers. Use this Skill to extract actionable insights from the feedback for LLM training and to archive key findings from the papers into your knowledge base.

Quick Start

Use the extract skill to process the attached document 'customer_feedback.txt' and route it to the appropriate workflow.

Frequently Asked Questions about extract

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

FAQPage Schema
How do I extract structured information from documents and emails automatically?

To extract structured information from documents and emails, use a unified entry point that routes inputs to specialized workflows. This categorizes data into training sets, archival information, or critical decisions for further processing.

What is the best way to route customer feedback for LLM training data extraction?

Routing customer feedback for LLM training data extraction requires differentiating between training data, archival information, and decisions. An intelligent routing system directs feedback to specialized workflows to capture actionable insights.

Can I ingest archival information from research papers into a knowledge base?

Yes, you can ingest archival information from research papers into a knowledge base. The extraction process identifies key findings from documents and routes them to appropriate archival workflows for storage.

How do you handle sensitive data during document knowledge retrieval?

Handling sensitive data during document knowledge retrieval requires careful processing and adherence to search-before-creating principles. The extraction workflow ensures sensitive information is managed securely throughout the routing process.

Does information extraction work for categorizing different data types like reviews and emails?

Information extraction works for categorizing diverse data types by acting as a central hub. It differentiates between sources like reviews and emails, routing each to specialized workflows based on the specific input type.

When should I use a unified extraction entry point for data processing?

Use a unified extraction entry point for data processing when you have diverse sources like documents and emails. It streamlines capturing valuable information and routing it correctly for training, archiving, or decision extraction.