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spring-data-neo4j春季数据 Neo4j

Agent Skill

用于辅助 Java 项目开发、面向对象设计、Spring 生态、Maven 或 Gradle 依赖和后端工程实践。它适合让 Agent 分析类结构、设计接口、整理服务分层、生成测试或检查常见代码坏味道。使用时需要结合项目已有架构、包结构和依赖版本,不应只按通用教程改代码;涉及数据库、事务、并发或框架配置时,应先确认运行环境和回归测试范围。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:spring-data-neo4j(春季数据 Neo4j)
来源仓库:https://github.com/claude-dev-suite/claude-dev-suite
仓库路径:skills/spring-data-neo4j
安装命令:
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-data-neo4j
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-data-neo4j

简介

用于辅助 Java Spring 项目与 Neo4j 图数据库的开发实践。

  • 适合分析类结构、设计接口、整理服务分层,并生成测试或检查代码坏味道。
  • 使用时需结合项目已有架构和依赖版本,避免仅按通用教程修改代码。
  • 涉及数据库、事务或框架配置时,应先确认运行环境和回归测试范围。
  • spring-data-neo4j 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Spring Data Neo4j - Quick Reference

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: spring-data-neo4j for comprehensive documentation.

Dependencies

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-neo4j</artifactId>
</dependency>

Configuration

application.yml

spring:
  neo4j:
    uri: bolt://localhost:7687
    authentication:
      username: neo4j
      password: ${NEO4J_PASSWORD}

  data:
    neo4j:
      database: mydb  # Neo4j 4.0+

Graph Concepts

┌─────────────────────────────────────────────────────────────┐
│                       Graph Model                           │
│                                                             │
│     ┌─────────┐                      ┌─────────┐           │
│     │  Person │─────FOLLOWS────────▶│  Person │           │
│     │  (John) │                      │  (Jane) │           │
│     └────┬────┘                      └────┬────┘           │
│          │                                │                 │
│       WORKS_AT                         WORKS_AT            │
│          │                                │                 │
│          ▼                                ▼                 │
│     ┌─────────┐                      ┌─────────┐           │
│     │ Company │◀─────KNOWS───────────│  Person │           │
│     │ (Acme)  │                      │  (Bob)  │           │
│     └─────────┘                      └─────────┘           │
│                                                             │
│  Nodes: Person, Company                                     │
│  Relationships: FOLLOWS, WORKS_AT, KNOWS                   │
└─────────────────────────────────────────────────────────────┘

Node Entities

@Node("Person")
public class Person {

    @Id
    @GeneratedValue
    private Long id;

    private String name;

    private String email;

    private LocalDate birthDate;

    // Outgoing relationship
    @Relationship(type = "FOLLOWS", direction = Direction.OUTGOING)
    private Set<Person> following = new HashSet<>();

    // Incoming relationship
    @Relationship(type = "FOLLOWS", direction = Direction.INCOMING)
    private Set<Person> followers = new HashSet<>();

    // Relationship with properties
    @Relationship(type = "WORKS_AT")
    private WorksAt employment;

    // Multiple relationships of same type
    @Relationship(type = "KNOWS")
    private List<Knows> connections = new ArrayList<>();
}

@Node("Company")
public class Company {

    @Id
    @GeneratedValue
    private Long id;

    private String name;

    private String industry;

    @Relationship(type = "WORKS_AT", direction = Direction.INCOMING)
    private Set<Person> employees = new HashSet<>();
}

Relationship Entities

@RelationshipProperties
public class WorksAt {

    @Id
    @GeneratedValue
    private Long id;

    @TargetNode
    private Company company;

    private String position;

    private LocalDate startDate;

    private LocalDate endDate;

    private BigDecimal salary;
}

@RelationshipProperties
public class Knows {

    @Id
    @GeneratedValue
    private Long id;

    @TargetNode
    private Person person;

    private String context;  // "work", "school", "family"

    private LocalDate since;

    private Integer trustLevel;
}

Repository Pattern

public interface PersonRepository extends Neo4jRepository<Person, Long> {

    // Derived queries
    Optional<Person> findByEmail(String email);

    List<Person> findByNameContaining(String name);

    // Custom Cypher queries
    @Query("MATCH (p:Person)-[:FOLLOWS]->(f:Person) WHERE p.id = $personId RETURN f")
    List<Person> findFollowing(Long personId);

    @Query("MATCH (p:Person)<-[:FOLLOWS]-(f:Person) WHERE p.id = $personId RETURN f")
    List<Person> findFollowers(Long personId);

    @Query("""
        MATCH (p:Person {id: $personId})-[:FOLLOWS*2..3]->(fof:Person)
        WHERE NOT (p)-[:FOLLOWS]->(fof) AND p <> fof
        RETURN DISTINCT fof
        LIMIT $limit
        """)
    List<Person> findFriendsOfFriends(Long personId, int limit);

    @Query("""
        MATCH (p1:Person {id: $person1Id}), (p2:Person {id: $person2Id}),
              path = shortestPath((p1)-[:KNOWS*]-(p2))
        RETURN path
        """)
    List<Person> findShortestPath(Long person1Id, Long person2Id);

    // Aggregations
    @Query("""
        MATCH (p:Person)-[:WORKS_AT]->(c:Company)
        RETURN c.name as company, count(p) as employeeCount
        ORDER BY employeeCount DESC
        """)
    List<CompanyStats> getCompanyStats();

    // With relationship properties
    @Query("""
        MATCH (p:Person)-[w:WORKS_AT]->(c:Company)
        WHERE p.id = $personId
        RETURN p, w, c
        """)
    Person findWithEmployment(Long personId);
}

public interface CompanyRepository extends Neo4jRepository<Company, Long> {

    @Query("""
        MATCH (c:Company)<-[:WORKS_AT]-(p:Person)
        WHERE c.id = $companyId
        RETURN p
        """)
    List<Person> findEmployees(Long companyId);
}

Neo4jTemplate Operations

@Service
@RequiredArgsConstructor
public class GraphService {

    private final Neo4jTemplate neo4jTemplate;
    private final Neo4jClient neo4jClient;

    // Save operations
    public Person savePerson(Person person) {
        return neo4jTemplate.save(person);
    }

    // Find by ID
    public Optional<Person> findById(Long id) {
        return neo4jTemplate.findById(id, Person.class);
    }

    // Custom queries with Neo4jClient
    public List<Map<String, Object>> findMutualConnections(Long person1Id, Long person2Id) {
        return neo4jClient.query("""
            MATCH (p1:Person {id: $person1Id})-[:KNOWS]-(mutual:Person)-[:KNOWS]-(p2:Person {id: $person2Id})
            RETURN mutual.name as name, mutual.email as email
            """)
            .bind(person1Id).to("person1Id")
            .bind(person2Id).to("person2Id")
            .fetch()
            .all()
            .stream()
            .toList();
    }

    // Create relationship
    public void createFollowRelationship(Long followerId, Long followeeId) {
        neo4jClient.query("""
            MATCH (a:Person {id: $followerId}), (b:Person {id: $followeeId})
            MERGE (a)-[:FOLLOWS]->(b)
            """)
            .bind(followerId).to("followerId")
            .bind(followeeId).to("followeeId")
            .run();
    }

    // Delete relationship
    public void removeFollowRelationship(Long followerId, Long followeeId) {
        neo4jClient.query("""
            MATCH (a:Person {id: $followerId})-[r:FOLLOWS]->(b:Person {id: $followeeId})
            DELETE r
            """)
            .bind(followerId).to("followerId")
            .bind(followeeId).to("followeeId")
            .run();
    }

    // Complex graph traversal
    public List<Person> findInfluencers(int minFollowers) {
        return neo4jClient.query("""
            MATCH (p:Person)<-[:FOLLOWS]-(follower:Person)
            WITH p, count(follower) as followerCount
            WHERE followerCount >= $minFollowers
            RETURN p
            ORDER BY followerCount DESC
            """)
            .bind(minFollowers).to("minFollowers")
            .fetchAs(Person.class)
            .mappedBy((typeSystem, record) -> {
                // Custom mapping if needed
                return neo4jTemplate.findById(
                    record.get("p").asNode().id(),
                    Person.class
                ).orElse(null);
            })
            .all()
            .stream()
            .filter(Objects::nonNull)
            .toList();
    }
}

Projections

// Interface projection
public interface PersonSummary {
    String getName();
    String getEmail();
    int getFollowerCount();
}

// DTO projection
public record PersonDto(
    Long id,
    String name,
    String email,
    List<String> followerNames
) {}

public interface PersonRepository extends Neo4jRepository<Person, Long> {

    @Query("""
        MATCH (p:Person)
        WHERE p.id = $id
        OPTIONAL MATCH (p)<-[:FOLLOWS]-(f:Person)
        RETURN p.id as id, p.name as name, p.email as email,
               collect(f.name) as followerNames
        """)
    Optional<PersonDto> findPersonDtoById(Long id);
}

Transactions

@Service
@Transactional
public class SocialNetworkService {

    private final PersonRepository personRepository;
    private final Neo4jClient neo4jClient;

    @Transactional
    public void transferFollowers(Long fromPersonId, Long toPersonId) {
        // All operations in single transaction
        neo4jClient.query("""
            MATCH (from:Person {id: $fromId})<-[r:FOLLOWS]-(follower:Person)
            MATCH (to:Person {id: $toId})
            CREATE (follower)-[:FOLLOWS]->(to)
            DELETE r
            """)
            .bind(fromPersonId).to("fromId")
            .bind(toPersonId).to("toId")
            .run();
    }

    @Transactional(readOnly = true)
    public List<Person> findRecommendations(Long personId) {
        // Read-only transaction
        return personRepository.findFriendsOfFriends(personId, 10);
    }
}

Reactive Support

public interface ReactivePersonRepository extends ReactiveNeo4jRepository<Person, Long> {

    Flux<Person> findByNameContaining(String name);

    @Query("MATCH (p:Person)-[:FOLLOWS]->(f:Person) WHERE p.id = $personId RETURN f")
    Flux<Person> findFollowing(Long personId);
}

@Service
public class ReactiveGraphService {

    private final ReactiveNeo4jClient neo4jClient;

    public Flux<Person> streamInfluencers() {
        return neo4jClient.query("""
            MATCH (p:Person)<-[:FOLLOWS]-(f:Person)
            WITH p, count(f) as followers
            WHERE followers > 100
            RETURN p
            ORDER BY followers DESC
            """)
            .fetchAs(Person.class)
            .all();
    }
}

Testing with Testcontainers

@SpringBootTest
@Testcontainers
class PersonRepositoryTest {

    @Container
    static Neo4jContainer<?> neo4j = new Neo4jContainer<>("neo4j:5")
        .withAdminPassword("password");

    @DynamicPropertySource
    static void neo4jProperties(DynamicPropertyRegistry registry) {
        registry.add("spring.neo4j.uri", neo4j::getBoltUrl);
        registry.add("spring.neo4j.authentication.username", () -> "neo4j");
        registry.add("spring.neo4j.authentication.password", neo4j::getAdminPassword);
    }

    @Autowired
    private PersonRepository personRepository;

    @Test
    void shouldFindFollowers() {
        Person john = personRepository.save(new Person("John"));
        Person jane = personRepository.save(new Person("Jane"));

        john.getFollowing().add(jane);
        personRepository.save(john);

        List<Person> followers = personRepository.findFollowers(jane.getId());
        assertThat(followers).contains(john);
    }
}

Best Practices

DoDon't
Model relationships explicitlyUse arrays for connections
Use projections for partial dataFetch entire graph
Index frequently queried propertiesQuery without indexes
Use MERGE for idempotent createsCREATE duplicates
Limit traversal depthUnbounded graph traversals

Production Checklist

  • Indexes on lookup properties
  • Constraints for uniqueness
  • Connection pooling configured
  • Transaction timeouts set
  • Query profiling enabled
  • Backup strategy defined
  • Cluster configuration (if HA)
  • Memory settings tuned
  • Monitoring enabled
  • Cypher query optimization

When NOT to Use This Skill

  • Raw Cypher queries - Consult Neo4j documentation directly
  • Relational data - Use spring-data-jpa for tabular data
  • Document storage - Use spring-data-mongodb
  • Simple key-value - Use spring-data-redis

Anti-Patterns

Anti-PatternProblemSolution
Fetching entire graphMemory issuesUse projections, limit depth
CREATE instead of MERGEDuplicate nodesUse MERGE for idempotent creates
Unbounded traversalsPerformance issuesAdd depth limits
Missing indexesSlow lookupsCreate indexes on lookup properties
Arrays for relationshipsLoses graph benefitsUse proper @Relationship
Ignoring relationship directionWrong query resultsSpecify INCOMING/OUTGOING

Quick Troubleshooting

ProblemDiagnosticFix
Connection refusedCheck Neo4j runningStart Neo4j, check bolt URI
Node not persistedCheck @Node annotationAdd annotation, verify ID
Relationship missingCheck @RelationshipVerify type and direction
Slow CypherUse PROFILE/EXPLAINAdd indexes, optimize query
Circular referenceCheck entity graphUse @Relationship carefully

Reference Documentation

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.31%
按下载量换算64

Claude

26.87%
按下载量换算46

Cursor

19.66%
按下载量换算34

Gemini CLI

8.76%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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