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angrysky56
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ingest-agent

Ingest raw inbox files into a wiki knowledge base and Neo4j graph database.

Updated May 24, 2026
Search Tags:#knowledge curation#pipeline automation#neo4j#wiki ingestion#raw file processing#automated archiving#research document processing
One-click install
npx skills add https://github.com/angrysky56/hermes-ops --skill ingest-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ingest-agent
Source: https://github.com/angrysky56/hermes-ops/tree/main/skills/ingest-agent
Command: npx skills add https://github.com/angrysky56/hermes-ops --skill ingest-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of processing raw inbox files into structured wiki knowledge, ensuring consistent, auditable knowledge curation without repetitive effort.

Core Features & Use Cases

  • Raw File Ingestion: Automatically processes files from the designated raw/ inbox into Neo4j and the wiki knowledge base.
  • Automated Archiving: Moves successfully ingested files to the Clippings/articles/ directory for long-term, organized storage.
  • Pipeline Health Management: Runs post-ingestion lint checks, rebuilds wiki indexes, and tracks unresolved processing items in a carryover log for follow-up.
  • Use Case: If you have a batch of unprocessed news clippings, research papers, and other documents in your raw/ inbox, use this Skill to automatically ingest all of them, generate source summary pages, archive the originals, and produce a full run report with any items flagged for special handling.

Quick Start

Use the ingest-agent skill to process all pending files in your raw/ inbox into structured wiki knowledge and generate the daily ingestion report.

Frequently Asked Questions about ingest-agent

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

FAQPage Schema
How do I automate raw file ingestion into a wiki knowledge base?▼

You can automate raw file ingestion by processing pending files from a designated inbox directly into a structured wiki knowledge base and Neo4j graph database, eliminating manual effort.

How does automated archiving work for research documents and news clippings?▼

Automated archiving moves successfully ingested raw files from the inbox to a dedicated clippings directory, ensuring long-term organized storage of research documents and news clippings.

Can I use Neo4j to index unprocessed academic papers automatically?▼

Yes, you can ingest unprocessed academic papers automatically into Neo4j, generating source summary pages and rebuilding wiki indexes to maintain structured knowledge curation.

What is the best way to track unresolved items during pipeline automation?▼

Track unresolved items during pipeline automation by using a carryover log for follow-up, which flags any files requiring special handling after post-ingestion lint checks.

Does wiki ingestion handle post-processing lint checks and index rebuilding?▼

Yes, wiki ingestion includes pipeline health management that runs post-ingestion lint checks, rebuilds wiki indexes, and generates a full run report for auditing.

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