Domain-Driven Design with Spring Boot 4 (DDD patterns, Spring Data, REST APIs, Spring Modulith)
Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
Spring Boot 4 data layer implementation for Domain-Driven Design. Use when implementing JPA or JDBC aggregates, Spring Data repositories, transactional services, projections, or entity auditing. Covers aggregate roots with AbstractAggregateRoot, value object mapping, EntityGraph for N+1 prevention, and Spring Boot 4 specifics (JSpecify null-safety, AOT repositories). For DDD concepts and design decisions, see the domain-driven-design skill.
Spring Modulith 2.0 implementation for bounded contexts in Spring Boot 4. Use when structuring application modules, implementing @ApplicationModuleListener for event-driven communication, testing with Scenario API, enforcing module boundaries, or externalizing events to Kafka/AMQP. For modular monolith architecture decisions, see the domain-driven-design skill.
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, custom metrics, distributed tracing, production endpoint exposure, or Kubernetes/Cloud Run probes. Covers Actuator security, Micrometer Timer/Counter/Gauge patterns, and OpenTelemetry span customization.
Smart code scanner that detects Spring Boot patterns and routes to appropriate skills. Auto-invokes when editing Java or Kotlin files in Spring Boot projects, working with pom.xml/build.gradle containing spring-boot-starter, or when context suggests Spring Boot development. Detects annotations (@RestController, @Entity, @EnableWebSecurity, @SpringBootTest) to determine relevant skills and provides contextual guidance. Uses progressive automation - auto-invokes for low-risk patterns (web-api, data, DDD), confirms before loading high-risk skills (security, testing, verify).
Spring Security 7 implementation for Spring Boot 4. Use when configuring authentication, authorization, OAuth2/JWT resource servers, method security, or CORS/CSRF. Covers the mandatory Lambda DSL migration, SecurityFilterChain patterns, @PreAuthorize, and password encoding. For testing secured endpoints, see spring-boot-testing skill.
Spring Boot 4 testing strategies and patterns. Use when writing unit tests, slice tests (@WebMvcTest, @DataJpaTest), integration tests, Testcontainers with @ServiceConnection, security testing (@WithMockUser, JWT), or Modulith event testing with Scenario API. Covers the critical @MockitoBean migration from @MockBean.
Verify Spring Boot 4.x projects for correct dependencies, configuration, and migration readiness. Use when analyzing pom.xml, build.gradle, application.yml, discussing Spring Boot project setup, dependency versions, configuration validation, version compatibility, migration to Spring Boot 4, deprecated dependencies, or when user mentions "verify project", "check dependencies", "upgrade Spring Boot", "migration readiness", "Jackson 3", "@MockBean deprecated", or "Spring Security 7".
Spring Boot 4 REST API implementation patterns. Use when creating REST controllers, request validation, exception handlers with ProblemDetail (RFC 9457), API versioning, content negotiation, or WebFlux reactive endpoints. Covers @RestController patterns, Bean Validation 3.1, global error handling, and Jackson 3 configuration.
Git workflow automation (commit, PR, branching, changelog)
Creates context-aware git commits with smart pre-commit checks, submodule support, and conventional commit message generation. Use when user requests to commit changes, stage and commit, check in code, save work, save changes, push my code, finalize changes, add to git, create commits, run /commit command, or mentions "git commit", "commit message", "conventional commits", "stage files", "git add", or needs help with commits.
Creates GitHub Pull Requests with existing PR detection, branch pushing, and intelligent title/body generation. Use when user requests to create pull request, open PR, update PR, push for review, ready for review, send for review, get this reviewed, make a PR, share code, request review, create draft PR, submit for review, run /create-pr command, or mentions "PR", "pull request", "merge request", "code review", "GitHub PR", or "draft".
Analyzes git commit history and generates professional changelogs with semantic versioning, conventional commit support, and multiple output formats (Keep a Changelog, Conventional, GitHub). Use when editing CHANGELOG.md, CHANGELOG.txt, or HISTORY.md files, preparing release notes, creating releases, bumping versions, updating changelog, documenting changes, writing release notes, tracking changes, version bump, tag release, or when user mentions "changelog", "release notes", "version history", "release", "semantic versioning", or "conventional commits".
Multi-purpose documentation toolkit
Explains complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Use when user asks to explain code, understand algorithms, analyze design patterns, wants code walkthroughs, or mentions "explain this code", "how does this work", "code breakdown", or "understand this function".
Creates and edits Mermaid diagrams for flowcharts, sequence diagrams, ERDs, state machines, architecture diagrams, process flows, timelines, and more. Use when user mentions diagram, flowchart, mermaid, visualize, refactor diagram, sequence diagram, ERD, architecture diagram, process flow, state machine, or needs visual documentation.
Generate documentation from code including API docs, READMEs, architecture guides, and technical references. Use when user mentions "generate docs", "create documentation", "write README", "API documentation", "document this code", or needs any documentation artifacts. Routes to docs-architect agent for comprehensive 10+ page documentation.
Create and manage Architecture Decision Records (ADRs) with auto-numbering, template detection, and index maintenance. Use when user mentions "ADR", "architecture decision", "document this decision", "create ADR", editing ADR files (docs/adr/, doc/adr/, .adr/), or discussing architectural choices and tradeoffs.
Quality control and workflow orchestration utilities
Deep research on technical topics using EXA tools with intelligent two-tier caching. Use when user asks to research a topic, investigate best practices, look up information, find patterns, or explore architectures. Also invoked by /research command. Triggers: "research", "look up", "investigate", "deep dive", "find information about", "what are best practices for", "how do others implement".
Orchestrates 6-phase SDLC pipeline for feature development. Use when user runs /develop command, requests guided feature development, wants to create implementation plans, or mentions "develop", "feature", "implement", "plan feature", "SDLC", "spec-driven development". Supports plan persistence, resume mode, and autonomous execution.
Coordinate structured thinking and multi-agent parallel execution for complex tasks. Use when tackling multi-step projects, planning parallel work, breaking down complex problems, coordinating specialist tasks, facing architectural decisions, or when user mentions "workflow", "orchestration", "multi-step", "coordinate", "parallel execution", "structured thinking", "break this down", "plan this out", "how should I approach", or needs help planning complex implementations.
Claude + Google Stitch prompting toolkit (prompt authoring + session management)
No verified skills in this plugin.
AI engineering toolkit for production-ready LLM applications
UI/UX Design Plugin - Visual fidelity from Figma/mockups, design system enforcement, and React UI prototyping with pattern memory
Language-specific programming skills (Bash, Python, Rust, TypeScript)
AI meta-prompt framework for Spec Kit workflow optimization
No verified skills in this plugin.
UI/UX design and design system toolkit
No verified skills in this plugin.
Code quality review tools for development teams
No verified skills in this plugin.