Neo4j Modeling Skill
Design, review, and refactor Neo4j graph data models. Use when choosing node
- Skill ID
- neo4j-contrib/neo4j-skills/neo4j-modeling-skill
- Publisher
- neo4j-contrib
- Repository
- neo4j-skills
- Installs
- 0
- Files
- 2
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
neo4j-contrib/neo4j-skills/neo4j-modeling-skillInstalls these files- README.md
- SKILL.md
What this skill tells the agent
When to Use
- Designing graph model from scratch (domain → nodes, rels, props)
- Reviewing existing model for anti-patterns
- Deciding node vs property vs relationship vs label
- Migrating relational or document schema to graph
- Designing intermediate nodes for n-ary or complex relationships
- Detecting and mitigating supernode / high-fanout problems
- Choosing and creating constraints + indexes for a model
When NOT to Use
- Writing or optimizing Cypher →
neo4j-cypher-skill - Spring Data Neo4j (@Node, @Relationship) →
neo4j-spring-data-skill - GraphQL type definitions →
neo4j-graphql-skill - Importing data (LOAD CSV, APOC import) →
neo4j-import-skill
Inspect Before Designing
On existing database, run first — never propose changes without current state:
CALL db.schema.visualization() YIELD nodes, relationships RETURN nodes, relationships;
SHOW CONSTRAINTS YIELD name, type, labelsOrTypes, properties RETURN name, type, labelsOrTypes, properties;
SHOW INDEXES YIELD name, type, labelsOrTypes, state WHERE state = 'ONLINE' RETURN name, type, labelsOrTypes;If APOC available:
CALL apoc.meta.schema() YIELD value RETURN value;MCP tool map:
| Operation | Tool |
|---|---|
| Inspect schema | get-schema |
SHOW CONSTRAINTS, SHOW INDEXES | read-cypher |
CREATE CONSTRAINT ... IF NOT EXISTS | write-cypher (show + confirm first) |
Defaults — Apply to Every Model
- Use-case first — list 5+ queries the model must answer before designing
- Nodes = entities (nouns) with identity; rels = connections (verbs) with direction
- Labels PascalCase; rel types SCREAMING_SNAKE_CASE; properties camelCase
- Every node type used in MERGE has a uniqueness constraint on its key property
- Add property type constraints (
REQUIRE n.prop IS :: STRING) where the type is known — helps the query planner and catches bad writes early - No generic labels (
:Entity,:Node,:Thing); no generic rel types (:RELATED_TO,:HAS) - Security labels (used for row-level access control) should start with a common prefix (e.g.
Sec) so application code can reliably filter them out of the domain schema - Rel direction encodes semantic meaning — not arbitrary
- Inspect schema before proposing any change on an existing database
- All constraint/index DDL uses
IF NOT EXISTS— safe to rerun - On Neo4j 2026.06+ (Enterprise/Aura, GA): declare the full model in one block with
ALTER CURRENT GRAPH TYPE SET { … }, extend it withALTER CURRENT GRAPH TYPE ADD { … }, instead of individualCREATE CONSTRAINTstatements — seeneo4j-cypher-skill/references/graph-type.md. On 2026.02–2026.05 the same syntax is preview.
Key Patterns
Node vs Relationship vs Property — Decision Table
| Question | Answer | Model as |
|---|---|---|
| Is it a thing with identity, queried as entry point? | Yes | Node |
| Is it a connection between two things with direction? | Yes | Relationship |
| Does the connection have its own properties or multiple targets? | Yes | Intermediate node |
| Is it a scalar always returned with its parent, never filtered alone? | Yes | Property on parent |
| Is it a category used for type-based filtering or path traversal? | Yes | Label (not a property) |
| Does the same attribute value repeat across many nodes (low cardinality)? | Yes | Label, not a property node |
| Is it a fact connecting >2 entities? | Yes | Intermediate node |
Property vs Label — Decision Table
| Use label when | Use property when |
|---|---|
Values are few, fixed, used as traversal filters (WHERE n:Active) | Values are many, dynamic, or unique per node |
You traverse by type (MATCH (n:VIPCustomer)) | You filter by value (WHERE n.tier = 'vip') |
| Category drives index selection | Fine-grained value drives range scans |
Example: :Active, :Verified, :Premium | Example: status, score, email |
Rule: adding a label is cheap; scanning all :Label nodes is fast. Never model high-cardinality values as labels.
Intermediate Node Pattern
Use when a relationship needs its own properties, connects >2 entities, or is independently queryable.
Before (relationship with property — limited):
(Person)-[:ACTED_IN {role: "Neo"}]->(Movie)
// Cannot query roles independent of moviesAfter (intermediate node — queryable, extensible):
(Person)-[:PLAYED]->(Role {name: "Neo"})-[:IN]->(Movie)
// MATCH (r:Role) WHERE r.name STARTS WITH 'Neo' RETURN rEmployment overlap example:
// Find colleagues who overlapped at same company
MATCH (p1:Person)-[:WORKED_AT]->(e1:Employment)-[:AT]->(c:Company)<-[:AT]-(e2:Employment)<-[:WORKED_AT]-(p2:Person)
WHERE p1 <> p2
AND e1.startDate <= e2.endDate AND e2.startDate <= e1.endDate
RETURN p1.name, p2.name, c.namePromote relationship to intermediate node when:
- Relationship has >2 properties
- Relationship is the subject of another query
- Multiple entities share the same connection context
- You need to connect >2 entities in one fact
Relational → Graph Migration Table
| Relational construct | Graph equivalent | Notes |
|---|---|---|
| Table row | Node | One label per table (add more as needed) |
| Column (scalar) | Node property | |
| Primary key | Uniqueness constraint property | Use tmdbId, not id (too generic) |
| Foreign key | Relationship | Direction: from dependent → referenced |
| Many-to-many junction table | Intermediate node | Especially if junction has own columns |
| Junction table (no own columns) | Direct relationship | Simpler; upgrade to intermediate node later |
| NULL FK (optional relation) | Absent relationship | No node created; absence is the signal |
| Polymorphic FK (Rails-style) | Multiple labels or relationship types | Split into type-specific rels |
| Self-referential FK | Same-label relationship | :Employee {managerId} → (e)-[:REPORTS_TO]->(m) |
| Audit/history columns | Intermediate versioning node | See References for versioning pattern |
Supernode Detection and Mitigation
Detect:
// Find top-10 highest-degree nodes
MATCH (n)
RETURN labels(n) AS labels, elementId(n) AS id, count{ (n)--() } AS degree
ORDER BY degree DESC LIMIT 10Node with degree >> median for its label = supernode candidate. Any node with >100K relationships will degrade traversal queries that pass through it.
Causes:
- Domain supernodes: airports, celebrities, popular hashtags — unavoidable
- Modeling supernodes: gender, country, status modeled as nodes with millions of edges — avoidable
Mitigation strategies (in priority order):
| Strategy | When to use | Implementation |
|---|---|---|
| Query direction | Directional asymmetry exists | Query from low-degree side; exploit direction |
| Relationship type split | Supernode serves multiple roles | :FOLLOWS + :FAN instead of single :RELATED_TO |
| Label segregation | Supernode conflates entity types | :Celebrity vs :User → query only relevant subtype |
| Bucket pattern | Time-series or high-volume event nodes | See below |
| Avoid modeling | Low-cardinality categoricals | Use label instead of node (:Active not (:Status {name:"Active"})) |
| Join hint | Query tuning last resort | USING JOIN ON n in Cypher |
Bucket pattern (time-series / high-volume):
// Instead of: (:User)-[:VIEWED]->(:Page) (millions of rels per user)
// Bucket by hour:
(u:User)-[:VIEWED_IN]->(b:ViewBucket {userId: u.id, hour: '2025-04-28T14'})-[:VIEWED]->(p:Page)
// Query last hour's views without traversing full history:
MATCH (u:User {id: $uid})-[:VIEWED_IN]->(b:ViewBucket {hour: $hour})-[:VIEWED]->(p)
RETURN p.urlNaming Conventions
| Element | Convention | Good | Bad |
|---|---|---|---|
| Node label | PascalCase, singular noun | :Person, :BlogPost | :person, :blog_posts, :Entity |
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