Claude-skill-registry libgraph

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/libgraph" ~/.claude/skills/majiayu000-claude-skill-registry-libgraph && rm -rf "$T"
manifest: skills/data/libgraph/SKILL.md
source content

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

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

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.