Can I use this for non-academic professional archives?

Yes, while it has specific logic for academic milestones like grants and papers, its framework for financial records and professional activities is applicable to most business contexts.

How does it decide what information is worth preserving?

It uses LLM judgment based on criteria like whether the information represents a concrete outcome, a significant professional action, or a long-term milestone worthy of a research meeting.

Does this skill store the extracted data directly?

No, it acts as a filter and processor. The actual storage and deduplication are handled by the 'remember' skill, which stores the data in your knowledge base.

What types of documents can this skill process?

It is designed to handle emails, professional correspondence, receipts, invoices, and various academic or professional documents.

Archive Information Extractor

Name: Archive Information Extractor
Author: nicsuzor

bynicsuzor

0•

Content Management

Identifies and extracts high-value professional milestones and financial data from document archives while filtering out administrative noise.

The Archive Information Extractor skill provides a sophisticated judgment framework for processing cluttered document archives like email history, correspondence, and receipts. It uses LLM-based reasoning to distinguish between routine administrative noise and significant professional signals, such as paper acceptances, grant awards, speaking engagements, and financial transactions. By applying specific assessment criteria, it ensures that only information with long-term value is preserved, transforming unstructured archives into a structured, searchable knowledge base for researchers and professionals.

Key Features

010 GitHub stars

02Mapping of key professional relationships and institutional collaborations

03Seamless integration with memory skills for long-term data preservation

04Automated identification of publications, grants, and career milestones

05Intelligent noise filtering for archival emails and professional correspondence

06Structured extraction of financial records including receipts and contract details

Use Cases

01Extracting financial data from disparate receipts for grant acquittal and tax reporting

02Processing years of academic email history to build a comprehensive professional CV

03Synthesizing historical collaboration patterns from professional archives

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/academicops extractor

For use in Claude.ai and ChatGPT

Download Skill