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Agent Skill · 研究检索

spring-data-neo4j(春季数据 Neo4j)

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。

spring-data-neo4j 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 55,255。

总安装 489周安装 21GitHub Stars 12下载 171核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/spring-data-neo4j

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spri…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

spring-data-neo4j 怎么安装?

在终端执行 npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-data-ne…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

spring-data-neo4j 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

spring-data-neo4j 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

spring-data-neo4j 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

spring-data-neo4j 用的人多吗?

公开数据是累计安装 489 次,近一周安装 21 次,下载 171 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

spring-data-neo4j 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
spring-data-neo4j

春季数据 Neo4j · 本页

48912调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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