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Rwb3n

extract-content

by Rwb3n

0🍴 0📅 Jan 22, 2026

SKILL.md


name: extract-content description: Extract entities and concepts from documents using HAIOS memory system. Use when ingesting new documents, analyzing content structure, or populating the knowledge base. generated: '2026-01-07' last_updated: '2026-01-07T20:49:16'

Extract Content

Extract entities (people, systems, concepts) and concepts (decisions, directives, proposals) from documents using LLM-based extraction.

Requirement Level

MAY use for document ingestion. For storing learnings, SHOULD use ingester_ingest directly instead (simpler path).

When to Use

MAY use when:

  • Ingesting new documents into HAIOS memory
  • Analyzing document structure and key concepts
  • Identifying entities mentioned in specifications
  • Populating the knowledge graph

Instructions

Use the extract_content MCP tool:

extract_content(
    file_path="path/to/document.md",
    content="<content of the file>",
    extraction_mode="full"  # or "entities_only", "concepts_only"
)

Via Python (Direct)

Note: haios_etl is deprecated. For most use cases, the MCP tool extract_content above is recommended.

Extraction Types

Entities

  • Agent: AI agents, systems, tools
  • User: Human actors, roles
  • ADR: Architecture Decision Records
  • System: Technical systems, services

Concepts

  • Decision: Architectural or design decisions
  • Directive: Instructions, guidelines
  • Proposal: Suggested approaches
  • Critique: Objections, concerns

Example Workflow

  1. Read document content
  2. Call extract_content with the content
  3. Review extracted entities and concepts
  4. Use ingester_ingest to persist relevant items
# Step 1: Extract
result = extract_content(file_path="docs/ADR/ADR-001.md", content=doc_content)

# Step 2: Store important concepts
ingester_ingest(
    content="Use SQLite for the memory database",
    source_path="docs/ADR/ADR-001.md",
    content_type_hint="techne"
)
  • ingester_ingest: PRIMARY - Store extracted content with auto-classification
  • memory_search_with_experience: Search stored memories
  • marketplace_list_agents: Find agents that can help with extraction
  • memory_store: MUST NOT use - deprecated, use ingester_ingest

Score

Total Score

50/100

Based on repository quality metrics

SKILL.md

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0/10
人気

GitHub Stars 100以上

0/15
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3ヶ月以内に更新がある

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0/5
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オープンIssueが50未満

+5
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