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spring-data-jpa

Provides patterns to implement persistence layers with Spring Data JPA

Install / Use

npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-data-jpa

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Our assessment of spring-data-jpa

spring-data-jpa scores 85/100 on our quality scale, 459th of 601 Data & Analytics skills we index.

Its SKILL.md is 5.9 KB long, well organised into 18 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 353 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 35 days ago, so spring-data-jpa is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-15. Automated pattern scan on 2026-10-15. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

spring-data-jpa compared with similar skills

All 4 of these similar skills score higher than spring-data-jpa; compare them before choosing.

SkillScoreStarsUpdatedFormat
spring-data-jpa (this skill)by giuseppe-trisciuoglio8535335d agoSKILL.md
algorithmic-artby anthropics100177.9k22d agoSKILL.md
pptxby anthropics100177.9k22d agoSKILL.md
designby nextlevelbuilder100133.6k11d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100133.6k11d agoSKILL.md

Frequently asked questions

How do I install spring-data-jpa?
Run npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-data-jpa. The install tabs above show the steps for each supported agent.
Which AI agents does spring-data-jpa work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is spring-data-jpa safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is spring-data-jpa still maintained?
The repository was last updated 35 days ago, so spring-data-jpa is actively maintained.

name: spring-data-jpa description: Provides patterns to implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and @Query), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing. allowed-tools: Read, Write, Edit, Bash, Glob, Grep

Spring Data JPA

Overview

Provides patterns for Spring Data JPA repositories, entity relationships, queries, pagination, auditing, and transactions.

When to Use

Creating repositories with CRUD operations, entity relationships, @Query annotations, pagination, auditing, or UUID primary keys.

Instructions

Create Repository Interfaces

To implement a repository interface:

  1. Extend the appropriate repository interface:

    @Repository
    public interface UserRepository extends JpaRepository<User, Long> {
        // Custom methods defined here
    }
    
  2. Use derived queries for simple conditions:

    Optional<User> findByEmail(String email);
    List<User> findByStatusOrderByCreatedDateDesc(String status);
    
  3. Implement custom queries with @Query:

    @Query("SELECT u FROM User u WHERE u.status = :status")
    List<User> findActiveUsers(@Param("status") String status);
    

Configure Entities

  1. Define entities with proper annotations:

    @Entity
    @Table(name = "users")
    public class User {
        @Id
        @GeneratedValue(strategy = GenerationType.IDENTITY)
        private Long id;
    
        @Column(nullable = false, length = 100)
        private String email;
    }
    
  2. Configure relationships using appropriate cascade types:

    @OneToMany(mappedBy = "user", cascade = CascadeType.ALL, orphanRemoval = true)
    private List<Order> orders = new ArrayList<>();
    

    Validation: Test cascade behavior with a small dataset before applying to production data. Verify delete operations don't cascade unexpectedly.

  3. Set up database auditing:

    @CreatedDate
    @Column(nullable = false, updatable = false)
    private LocalDateTime createdDate;
    

Apply Query Patterns

  1. Use derived queries for simple conditions
  2. Use @Query for complex queries
  3. Return Optional<T> for single results
  4. Use Pageable for pagination
  5. Apply @Modifying for update/delete operations

Manage Transactions

  1. Mark read-only operations with @Transactional(readOnly = true)
  2. Use explicit transaction boundaries for modifying operations
  3. Specify rollback conditions when needed

Validate and Optimize

1. Verify entity configuration:

  • Test cascade behavior in a transaction before production deployment
  • Validate bidirectional relationships sync correctly

2. Optimize query performance:

  • Run EXPLAIN ANALYZE on queries against large tables
  • If performance issues detected: add indexes → verify with EXPLAIN → repeat
  • Use @EntityGraph to prevent N+1 queries

3. Validate pagination:

  • Ensure indexed columns support pagination queries
  • Test with large datasets to verify cursor stability

Examples

Basic CRUD Repository

@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {
    // Derived query
    List<Product> findByCategory(String category);

    // Custom query
    @Query("SELECT p FROM Product p WHERE p.price > :minPrice")
    List<Product> findExpensiveProducts(@Param("minPrice") BigDecimal minPrice);
}

Pagination Implementation

@Service
public class ProductService {
    private final ProductRepository repository;

    public Page<Product> getProducts(int page, int size) {
        Pageable pageable = PageRequest.of(page, size, Sort.by("name").ascending());
        return repository.findAll(pageable);
    }
}

Entity with Auditing

@Entity
@EntityListeners(AuditingEntityListener.class)
public class Order {
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @CreatedDate
    @Column(nullable = false, updatable = false)
    private LocalDateTime createdDate;

    @LastModifiedDate
    private LocalDateTime lastModifiedDate;

    @CreatedBy
    @Column(nullable = false, updatable = false)
    private String createdBy;
}

Best Practices

Entity Design

  • Use constructor injection exclusively (never field injection)
  • Prefer immutable fields with final modifiers
  • Use Java records (16+) or @Value for DTOs
  • Always provide proper @Id and @GeneratedValue annotations
  • Use explicit @Table and @Column annotations

Performance Optimization

  • Use appropriate fetch strategies (LAZY vs EAGER)
  • Implement pagination for large datasets
  • Use database indexes for frequently queried fields
  • Consider using @EntityGraph to avoid N+1 query problems

Reference Documentation

For comprehensive examples, detailed patterns, and advanced configurations, see:

  • Examples - Complete code examples for common scenarios
  • Reference - Detailed patterns and advanced configurations

Constraints and Warnings

  • Never expose JPA entities directly in REST APIs; always use DTOs to prevent lazy loading issues.
  • Avoid N+1 query problems by using @EntityGraph or JOIN FETCH in queries.
  • Be cautious with CascadeType.REMOVE on large collections as it can cause performance issues.
  • Do not use EAGER fetch type for collections; it can cause excessive database queries.
  • Avoid long-running transactions as they can cause database lock contention.
  • Use @Transactional(readOnly = true) for read operations to enable optimizations.
  • Be aware of the first-level cache; entities may not reflect database changes within the same transaction.
  • UUID primary keys can cause index fragmentation; consider using sequential UUIDs or Long IDs.
  • Pagination on large datasets requires proper indexing to avoid full table scans.

Related Skills

View on GitHub
GitHub Stars353
CategoryData
Updated1mo ago
Forks41

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions