Rules and guidelines for Spring Data JDBC entity mapping, repositories, aggregates, and associations. Activates on @Table, @MappedCollection, AggregateReference, and JDBC repository queries.
How this skill is triggered — by the user, by Claude, or both
Slash command
/amplicode-spring-skills:spring-data-jdbcThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Before applying any rule from this skill, confirm the target file imports from `org.springframework.data.relational.core.mapping` / `org.springframework.data.annotation`. If you see `jakarta.persistence.*` imports, stop and switch to the `spring-data-jpa` skill — the two stacks are not interchangeable and patterns from JPA (`HibernateProxy`, `@ManyToOne`, `@OneToMany`, `@JoinColumn`, `FetchType...
Before applying any rule from this skill, confirm the target file imports from org.springframework.data.relational.core.mapping / org.springframework.data.annotation. If you see jakarta.persistence.* imports, stop and switch to the spring-data-jpa skill — the two stacks are not interchangeable and patterns from JPA (HibernateProxy, @ManyToOne, @OneToMany, @JoinColumn, FetchType) do not apply here.
This skill is designed to work across multiple agent runtimes (Claude Code, Codex, OpenCode). Two harness-specific primitives are referenced by name in this skill; treat them as preferred-but-optional and degrade gracefully:
AskUserQuestion (Claude Code structured prompt with multiple-choice options). When the runtime supports it, use it for Step 1.4 of every conventions file — the JSON examples in those files map to the tool's expected payload. When the runtime does not support it (Codex, OpenCode, plain CLI), ask exactly the same questions inline in the conversation: render each question as a short paragraph followed by a numbered or bulleted list of options, mark the recommended option with (Recommended), and accept either the option label or its number in the user's reply. The decision tree is identical; only the rendering changes.Do not refuse a task because one of these primitives is missing. Substitute the inline equivalent and announce the substitution once at the start of the task ("AskUserQuestion not available in this runtime — asking inline" / "no persistent memory in this runtime — detecting conventions from scratch").
This skill is part of the Spring Agent Toolkit and is designed to work with the Spring MCP server (provided by the Amplicode IntelliJ plugin). Before doing anything else, check your tool list for any Spring MCP tool — they are exposed under the amplicode MCP server (e.g. get_jdbc_entity_details, list_all_domain_entities, list_entity_repositories); harnesses that flatten MCP tools into the tool list use the mcp__amplicode__ prefix on the same names.
amplicode-install skill (bundled with the Spring Agent Toolkit). It installs the Amplicode plugin and walks the user through the «Настроить Spring Agent» welcome-screen button + MCP-client restart. After it completes, the MCP tools become available — resume this skill.amplicode-install is not registered in your skill list or the user declines to install (e.g. they are running in a harness without MCP support such as a CI sandbox), continue with the file-read fallbacks described in the next section so the task is not blocked.This skill prefers the Spring MCP tools (get_jdbc_entity_details, list_all_domain_entities, list_entity_repositories) because they return resolved, project-wide answers in one call. If the Spring MCP server is unreachable (connection error, tool not registered, harness without MCP support) and the user has chosen not to install the plugin via the Preflight above, do not refuse the task — fall back to direct file reads / grep:
This project is Kotlin-first (Kotlin 2.2.20 primary, Java for some modules) — every fallback grep must hit both *.kt and *.java. Do not pass -t java to rg; either omit the type filter or use -t kotlin -t java.
list_all_domain_entities — grep the project for org.springframework.data.relational.core.mapping.Table imports (or @Table annotations whose import resolves there) to enumerate JDBC entities. Works the same in .java and .kt.list_entity_repositories — grep for the repository-declaration keyword (extends in Java, : in Kotlin; Kotlin may omit the space before the colon, so use \s*). Spell out every base interface explicitly rather than relying on optional prefixes — (List)?(...|...) parses ambiguously to a human reader:
(extends|:)\s*(ListCrudRepository|CrudRepository|ListPagingAndSortingRepository|PagingAndSortingRepository)\b
get_jdbc_entity_details — see the "Without get_jdbc_entity_details" subsection in references/aggregate-rules-impl.md. The manual procedure there yields the same idField.type / aggregateRootFqn / aggregates / referencedBy information by reading source files (both Java and Kotlin).State once at the start of the task that you are operating in fallback mode and why (e.g. "Spring MCP not reachable — using file-read fallback"). Do not silently switch.
When the task involves creating or modifying a Spring Data JDBC entity:
references/entity-conventions.md and follow all substeps there to detect project conventions.references/entity-rules-impl.md and follow the rules there when writing or modifying the entity.references/aggregate-rules-impl.md before deciding the shape of any link. The entity rules cover field syntax; the aggregate rules decide which relationship shapes are legal and in which direction the link may be held. Skipping this step is how illegal shapes (raw FK to a member of another aggregate, references to non-roots) get generated.Tool-vs-source policy — when you are going to edit the entity, read the source file directly. get_jdbc_entity_details is documented as a read-only analysis tool and explicitly says "you plan to modify the entity class afterward — read the file directly instead." Use the MCP tool only for cross-aggregate context that is not visible from one file:
aggregateRootFqn).referencedBy).AggregateReference<Other, IdType> (when reading Other's source is overkill).For everything in the file you are editing — id type, current fields, current @MappedCollection / @Embedded declarations — read the file.
When the user asks to review JDBC patterns, conventions, or code quality in the project:
references/entity-conventions.md (steps 1.1–1.5).references/entity-rules-impl.md. For each deviation, output a recommendation in the format:### JDBC Review
**[Convention or pattern name]**
- Current: <what the project does>
- Recommended: <what the best practice says>
- Reason: <why this matters>
If no deviations are found — state that the project follows best practices.
When the task involves adding or modifying a Spring Data JDBC repository:
references/repository-conventions.md and follow all substeps there.references/repository-rules-impl.md and follow the rules there.Before creating a new repository, call list_entity_repositories with entityFqn = <target> to confirm no repository already exists for this entity, and call get_jdbc_entity_details for the target — a repository may only be created for an aggregate root (aggregateRootFqn == null). Note that list_entity_repositories has no JDBC filter; filter results manually if you called it without entityFqn.
When the task involves aggregate boundaries — adding AggregateReference fields, converting an owned @MappedCollection into a cross-aggregate link, splitting an aggregate, or answering "who references X?" / "what's inside aggregate Y?":
references/aggregate-conventions.md and follow all substeps there.references/aggregate-rules-impl.md and follow the rules there.The MCP tool get_jdbc_entity_details is the source of truth for aggregate membership. Its response carries aggregateRootFqn (null if this entity is itself a root), aggregates (owned children, recursive — only populated for roots), and referencedBy (other aggregates linking here via AggregateReference). Read these before making any aggregate-boundary decision.
npx claudepluginhub amplicode/spring-skills --plugin spring-toolsProvides rules and guidelines for Spring Data JPA entity, repository, and projection changes. Invoked automatically on JPA-related requests.
Provides JPA/Hibernate patterns for Spring Boot entity design, associations with N+1 prevention, repositories, transactions, auditing, pagination, indexing, performance tuning, and HikariCP pooling. Useful for data layer development and optimization.
Implements Spring Boot 4 DDD data layer with JPA/JDBC aggregates, Spring Data repositories, transactional services, projections, auditing, EntityGraph for N+1 prevention, and Boot 4 features like JSpecify and AOT.