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Found 43 Skills
Implement GraphRAG patterns combining knowledge graphs with retrieval for complex reasoning. Use this skill when building RAG over interconnected data or needing relationship-aware retrieval. Activate when: GraphRAG, knowledge graph, graph retrieval, entity relationships, Neo4j RAG, graph database, connected data.
Neo4j Cypher Shell skill. Connect to instances, run Cypher queries, and retrieve full graph schemas via cypher-shell CLI.
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
Discovers, tests, and manages remote SSH infrastructure hosts and Docker services across 5 hosts (infra.local, deus, homeassistant, pi4-motor, armitage). Use when checking infrastructure status, verifying service connectivity, managing Docker containers, troubleshooting remote services, or before using remote resources (MongoDB, Langfuse, OTLP, Neo4j). Triggers on "check infrastructure", "connect to infra/deus/ha", "test MongoDB on infra", "view Docker services", "verify connectivity", "troubleshoot remote service", "what services are running", or when remote connections fail.
Implements knowledge graphs for AI-enhanced relational knowledge. Covers ontology design, graph database selection (Neo4j, Neptune, ArangoDB, TigerGraph), entity extraction, hybrid graph-vector architecture, query patterns, and AI integration. Use when implementing knowledge graphs, designing ontologies, extracting entities and relationships, selecting a graph database, or building hybrid graph-vector search. Use for knowledge graph, ontology design, entity resolution, graph RAG, hallucination detection. For architecture selection and governance, use the knowledge-base-manager skill. For document retrieval pipelines, use the rag-implementer skill.
Select and use PyGraphistry connector and plugin workflows for graph databases, SQL/data platforms, SIEM/log sources, and layout/compute plugins. Use when requests involve Neo4j/Neptune/Splunk/Kusto/Databricks/SQL/TigerGraph and similar integrations.
Creates repository following Clean Architecture with Protocol in domain layer and Implementation in infrastructure layer. Use when adding new data access layer, creating database interaction, implementing persistence, or need to store/retrieve domain models. Enforces Protocol/ABC pattern with ServiceResult, ManagedResource lifecycle, and proper layer separation. Triggers on "create repository for X", "implement data access for Y", "add persistence layer", or "store/retrieve domain model".