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Store and query Croissant datasets in a Neo4j Graph Database for relational discovery and semantic search.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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Specialized in the MLCommons Croissant metadata specification. Can generate, validate, and serialize dataset metadata into compliant JSON-LD.
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Send results and data files to stakeholders via email.
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Secure GitHub Orchestrator for Croissant Toolkit. Connect any repository, discovery skills, and audit ODRL sovereignty status.
| name | neo4j_expert |
| description | Store and query Croissant datasets in a Neo4j Graph Database for relational discovery and semantic search. |
The Neo4j Expert skill transforms hierarchical Croissant JSON-LD files into a knowledge graph. This allows users to discover relationships between datasets, creators, locations, and keywords using powerful graph queries.
Set your Neo4j credentials in the environment:
export NEO4J_URI="bolt://your-neo4j-instance:7687"
export NEO4J_USER="neo4j"
export NEO4J_PASSWORD="your-strong-password"
python3 skills/neo4j_expert/scripts/ingest.py "./data/croissant/my_dataset.jsonld"
python3 skills/neo4j_expert/scripts/query.py "Which datasets mention Kyiv?"
Dataset, Person, Organization, Place, Keyword, FileObject.(:Person/Organization)-[:CREATOR_OF]->(:Dataset)(:Dataset)-[:SPATIAL_COVERAGE]->(:Place)(:Dataset)-[:HAS_KEYWORD]->(:Keyword)(:Dataset)-[:HAS_DISTRIBUTION]->(:FileObject)