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knowledge-graph-generate

Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).

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概览

Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).

安装命令

npx skills add https://github.com/dandye/information-architecture --skill knowledge-graph-generate

复制此命令并粘贴到 Claude Code 中以安装该技能

来源

dandye/information-architecture

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更新时间2026年2月6日 23:03

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2 个文件

SKILL.md

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name	knowledge-graph-generate
description	Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).
required_roles	{"scribe":"roles/scribe.editor"}
personas	["information-architect","data-scientist","knowledge-manager"]

Knowledge Graph Generator Skill

Analyze a set of documents to identify named entities and their inter-relationships, constructing a knowledge graph to visualize and query the information structure.

Inputs

SOURCE_PATH - Directory or file list to analyze.
OUTPUT_FORMAT - (Optional) "turtle", "rdf/xml", "json-ld" (default: "turtle").
DEPTH - (Optional) Recursion depth for directory traversal (default: 1).

Workflow

Ingest: Read documents from SOURCE_PATH.
Extract: Perform Named Entity Recognition (NER) to find People, Organizations, Locations, Concepts.
Relate: Identify relationship verbs connecting entities (e.g., "authored by", "located in").
Serialize: Generate the graph in the requested OUTPUT_FORMAT (e.g., Turtle syntax).

Output

A serialized graph file or block representing the extracted knowledge.

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vocabulary-overlap-analysis

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Analyze vocabulary overlap and identify named entities unique to domain/document corpora.

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document-tree-generate

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Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).

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ontology-define

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Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.

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content-inventory

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Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.

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json-ld-generate

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Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.

2026-02-061

来源

dandye

dandye/information-architecture

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安装命令

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在 Manus 中运行

适用职业SOC

软件开发工程师计算机与数学类职业15-1252L4

name	knowledge-graph-generate
description	Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).
required_roles	{"scribe":"roles/scribe.editor"}
personas	["information-architect","data-scientist","knowledge-manager"]

Knowledge Graph Generator Skill

Analyze a set of documents to identify named entities and their inter-relationships, constructing a knowledge graph to visualize and query the information structure.

Inputs

SOURCE_PATH - Directory or file list to analyze.
OUTPUT_FORMAT - (Optional) "turtle", "rdf/xml", "json-ld" (default: "turtle").
DEPTH - (Optional) Recursion depth for directory traversal (default: 1).

Workflow

Ingest: Read documents from SOURCE_PATH.
Extract: Perform Named Entity Recognition (NER) to find People, Organizations, Locations, Concepts.
Relate: Identify relationship verbs connecting entities (e.g., "authored by", "located in").
Serialize: Generate the graph in the requested OUTPUT_FORMAT (e.g., Turtle syntax).

Output

A serialized graph file or block representing the extracted knowledge.