@fisa712

neo4j-integration provides cypher query execution, connection pooling, transaction support, and bulk operations for neo4j graph databases. covers property graph model, indexes, and result mapping with error handling reference.

rdf-triple-store-integration provides SPARQL query and update operations against RDF triple stores with support for named graphs, reasoning, and federated endpoints. covers connection setup, query patterns, insert/delete operations, and integration with linked data sources.

graph-rule-engine-builder enables declarative rule-based inference over knowledge graphs, supporting forward/backward chaining, cycle detection, and multiple rule types (derivation, constraint, aggregation, conditional). covers materialization strategies and conflict resolution but lacks concrete activation triggers and operational detail.

causal-chain-analyzer traverses directed knowledge graphs to identify root causes, trace downstream impacts, detect cycles, and rank causal chains by proximity or confidence. supports multiple traversal algorithms and handles multi-cause scenarios.

graph-path-reasoning-analyzer discovers and ranks paths between entities in knowledge graphs using algorithms like bfs, dijkstra, and k-shortest paths. it generates natural language explanations and supports filtering by relationship type, depth, and confidence thresholds.

graph-query-debugging-tool diagnoses cypher and sparql query errors across syntax, schema, relationship traversal, and logic categories. provides corrected queries and step-by-step debugging guidance with worked examples.

kg-schema-from-text extracts entities, relationships, and properties from natural language text to generate machine-readable graph schemas in property graph or rdf formats.

transitive-closure-generator computes the transitive closure of graph relations to materialize implicit connections. covers five algorithms (dfs, bfs, floyd-warshall, warshall, incremental), cycle detection, and materialization strategies, but lacks concrete implementation guidance and executable procedures.

rest-api-wrapper-generator documents rest conventions and neo4j/janusgraph patterns for exposing graph operations over http, but lacks concrete procedural steps to actually build and deploy a working api.

nl-to-graph-query-translator converts natural language questions into cypher or sparql queries for property graphs and rdf triple stores. the skill identifies entities, relationships, and query intent to generate executable database queries.

Extract entities and relationships from unstructured text and convert them into graph-ready structures such as triples, nodes, and edges.

Map GraphQL queries and schemas to underlying graph database operations, enabling applications to access knowledge graph data through GraphQL APIs. Translate...

Connect to JanusGraph distributed graph database to query, manage, and analyze graph data using Apache TinkerPop Gremlin traversal language

Connect to TigerGraph distributed graph database to query, load, and manage large-scale knowledge graph data using GSQL and REST++ APIs

Generate structural, semantic, and property constraints for knowledge graph schemas including RDF/OWL ontologies and property graph models.

Validate knowledge graph schemas and data against defined ontology, RDF/OWL, or property graph schema constraints.

Design property graph schemas for knowledge graph systems using Neo4j-style node labels, relationships, and properties based on domain descriptions or develo...

Analyze differences between knowledge graph schema versions and generate migration plans and scripts for safe schema evolution.

Apply semantic ontology rules to knowledge graphs to infer new relationships, class memberships, and properties from explicit ontology definitions. Supports...

Analyze graph queries and suggest optimizations to improve performance, reduce execution time, and ensure efficient traversal in graph databases.

Generate graph queries that perform multi-hop traversal and reasoning across relationships in graph databases and knowledge graphs.

Generate reusable Cypher or SPARQL query templates for common graph database operations such as finding nodes, relationships, paths, and aggregations.

Draft RDF or OWL ontologies and schemas for knowledge graph systems using domain descriptions, entity models, or schema requirements.