Model and query directed property graph data with Neumann's graph engine.
npx skills add https://github.com/Shadylukin/Neumann --skill neumann-graph
Please help me install this Agent Skill. Skill: neumann-graph Source: https://github.com/Shadylukin/Neumann/tree/main/.claude/skills/neumann-graph Command: npx skills add https://github.com/Shadylukin/Neumann --skill neumann-graph
Enable developers and analysts to store, model, and query directed property graph data alongside tables and vectors in a single Neumann instance, removing the need to synchronize separate graph and vector systems.
Create a person node named Alice with role engineer and then run a NEIGHBORS query to find her outgoing connections.
High-intent search queries and answers about installing and using this skill.
You can model and query directed property graph data by creating nodes and edges with labels and properties, then using traversal commands and graph algorithms within a single database instance to avoid synchronizing separate systems.
Yes, you can run a Cypher subset for complex queries to traverse relationships, find shortest or weighted paths, and execute variable-length path traversals across directed graph edges.
Available graph algorithms include PageRank, Betweenness, Closeness, Eigenvector, Louvain, and Label Propagation, enabling you to compute centrality, detect communities, and extract structural insights.
Yes, it supports batch create, update, and delete operations for scale, alongside indexing and constraints to maintain data integrity during bulk graph modifications.
You can execute NEIGHBORS queries with OUTGOING, INCOMING, or BOTH direction keywords, and apply cross-engine neighbor ranking by vector similarity to retrieve related graph entities.
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