extract-content

Extract entities and concepts from documents for HAIOS memory ingestion.

1|Updated Jan 14, 2026

Search Tags:#documents #memory #ingestion #entities #concepts #extract #HAIOS

Ready to run

npx skills add https://github.com/Rwb3n/haios --skill extract-content

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extract-content
Source: https://github.com/Rwb3n/haios/tree/main/.claude/skills/extract-content
Command: npx skills add https://github.com/Rwb3n/haios --skill extract-content

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts entities and concepts from documents to populate the HAIOS memory system.

Core Features & Use Cases

Entity extraction: Identify Agent, User, ADR, and System references within documents.
Concept extraction: Capture Decision, Directive, Proposal, and Critique.
Knowledge population: Prepare extract results for ingestion into memory graphs.

Quick Start

Invoke the extract_content process with a target document to extract entities and concepts, then persist results using ingester_ingest.

Frequently Asked Questions about extract-content

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

FAQPage Schema

How do I extract entities and concepts from documents for a knowledge graph?▼

You can extract entities and concepts from documents by invoking the extract_content process to identify items like Agent, User, ADR, Decision, and Proposal, then persisting the structured results into a memory graph.

What is document ingestion for memory systems and when do I need it?▼

Document ingestion for memory systems is the process of parsing documents to extract structured entities and concepts, needed when populating a knowledge base or analyzing content structure for memory graph persistence.

Can I extract ADRs and decisions from unstructured text?▼

Yes, you can extract ADRs and decisions from unstructured text by running the extract_content process, which identifies specific entities like ADR and concepts like Decision, Directive, and Critique.

How do I populate a HAIOS memory system with extracted content?▼

To populate a HAIOS memory system, first use the extract_content process to extract structured entities and concepts, then use the ingester_ingest workflow to persist the results into the memory graph.

What types of concepts can I extract from documents?▼

You can extract concepts like Decisions, Directives, Proposals, and Critiques from documents, alongside entities such as Agent, User, ADR, and System references.

Does extract_content require any external dependencies to run?▼

No, extract_content operates without external dependencies, relying solely on the extract_content MCP tool and the ingester_ingest workflow to process documents and persist results.