AgentSkillsCN

libgraph

libgraph——基于 N3 库的 RDF 图索引。GraphIndex 负责存储与查询关联数据三元组;PREFIXES 提供了标准命名空间(schema、rdf、rdfs、foaf);parseTripleQuery 能解析主语-谓语-宾语模式;serializeShacl 则可生成 SHACL 约束。该库适用于知识图谱构建、语义查询以及关联数据的处理与分析。

SKILL.md
--- frontmatter
name: libgraph
description: >
  libgraph - RDF graph index using N3 library. GraphIndex stores and queries
  linked data triples. PREFIXES provides standard namespaces (schema, rdf, rdfs,
  foaf). parseTripleQuery parses subject-predicate-object patterns.
  serializeShacl generates SHACL constraints. Use for knowledge graphs, semantic
  queries, and linked data processing.

libgraph Skill

When to Use

  • Building and querying knowledge graphs
  • Storing RDF triples for semantic data
  • Executing subject-predicate-object pattern queries
  • Working with linked data and ontologies

Key Concepts

GraphIndex: Storage-backed index for RDF triples with pattern-based querying.

PREFIXES: Standard namespace prefixes for common vocabularies (schema.org, RDF, RDFS, FOAF).

Triple patterns: Query graphs using subject-predicate-object patterns with wildcards.

Usage Patterns

Pattern 1: Query graph triples

javascript
import { createGraphIndex, PREFIXES } from "@copilot-ld/libgraph";

const index = await createGraphIndex(storage, "knowledge");
const results = await index.query(
  `${PREFIXES.schema}Person`,
  `${PREFIXES.schema}name`,
  "?",
);

Pattern 2: Parse triple query string

javascript
import { parseTripleQuery } from "@copilot-ld/libgraph";

const { subject, predicate, object } = parseTripleQuery("schema:Person ? ?");

Integration

Used by Graph service for knowledge queries. Processes ontology.ttl files.