Frameworks
Best Java Agent Skills
117 Java skills for AI coding assistants — ranked by popularity.
This collection provides curated skill sets for AI coding assistants like Claude Code, Cursor, and Codex, specifically tailored for the Java ecosystem. These skills function as specialized instruction sets that guide your AI to handle tasks ranging from modern Java 21 development and Spring Boot 3 architecture to specific domains like Minecraft plugin creation and temporal workflow orchestration. They are designed for Java developers who want to improve the precision of their AI tools when generating code, writing tests, or enforcing strict coding standards. By integrating these files, you define the context for your AI, ensuring it follows established patterns for Spring Boot security, TDD workflows, or API design. Expect immediate improvement in how your AI handles complex backend requirements, project layout, and documentation generation, allowing for more consistent and reliable outputs across your technical stack.
Top Java skills
minecraft-bukkit-pro
sickn33
Master Minecraft server plugin development with Bukkit, Spigot, and Paper APIs. Specializes in event-driven architecture, command systems, world manipulation, player management, and performance optimization. Use PROACTIVELY for plugin architecture, gameplay mechanics, server-side features, or cross-version compatibility.
workflow-orchestration-patterns
wshobson
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
java-pro
sickn33
Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns. Use PROACTIVELY for Java development, microservices architecture, or performance optimization.
java-coding-standards
affaan-m
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
springboot-patterns
affaan-m
Spring Boot 架构模式、REST API 设计、分层服务、数据访问、缓存、异步处理和日志记录。适用于 Java Spring Boot 后端工作。
springboot-tdd
affaan-m
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
springboot-security
affaan-m
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
readme-generate
spring-ai-alibaba
Generates comprehensive README.md files for Spring Boot modules based on task specification requirements
jpa-patterns
affaan-m
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
agentscope-java
agentscope-ai
Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.
managing-api-cache
jeremylongshore
Implement intelligent API response caching with Redis, Memcached, and CDN integration. Use when optimizing API performance with caching. Trigger with phrases like "add caching", "optimize API performance", or "implement cache layer".
unit-testing
TencentBlueKing
单元测试编写指南，涵盖 JUnit5/MockK 使用、测试命名规范、Mock 技巧、测试覆盖率要求、TDD 实践。当用户编写单元测试、Mock 依赖、提高测试覆盖率或进行测试驱动开发时使用。
deserialization-testing
Ed1s0nZ
反序列化漏洞测试的专业技能和方法论
backend-microservice-development
TencentBlueKing
后端微服务开发规范，涵盖目录结构、分层架构（API/Service/DAO）、依赖注入、配置管理、Spring Boot 最佳实践。当用户进行后端开发、创建新微服务、编写 Kotlin/Java 代码或设计服务架构时使用。
microservice-infrastructure
TencentBlueKing
微服务基础设施指南，涵盖条件配置、事件驱动架构、服务间通信、国际化与日志等微服务架构的核心基础设施。当用户实现服务间调用、配置多环境、实现异步通信、处理国际化或规范日志输出时使用。
azure-ai-projects-java
microsoft
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
pipeline-plugin-development
TencentBlueKing
流水线插件开发完整指南，涵盖插件创建、task.json 配置规范、多语言开发示例（Python/Java/NodeJS/Golang）、输入输出规范、错误码规范、发布流程、调试方法。当用户需要开发蓝盾流水线插件、配置 task.json、处理插件输入输出或排查插件错误时使用。
review-pr
apache
Used to review whether an Apache ShardingSphere PR truly fixes the root cause, assess side effects and regression risks, and determine whether it can be safely merged. If not mergeable, produce committer-tone change request suggestions. Supports targeted comparison across multiple review rounds.
springboot-verification
affaan-m
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
jar-audit-agent
jar-analyzer
基于 jar-analyzer（SQLite + 内置 MCP）的证据驱动 Java 安全审计技能。核心目标：把“结论”变成“可复现证据 + 可度量覆盖率”。
common-technical-practices
TencentBlueKing
通用技术实践指南，涵盖 AOP 切面、分布式锁、重试机制、参数校验、性能监控、定时任务、审计日志等后端开发中的常见技术实践。当用户需要实现横切关注点、处理并发控制、配置重试策略、添加性能监控或实现审计功能时使用。
ldap-injection-testing
Ed1s0nZ
LDAP注入漏洞测试的专业技能和方法论
http-generate
spring-ai-alibaba
Generates HTTP request examples for Spring Boot Web interfaces according to task specification and saves them as .http files in module-generate.md directories
jakarta-namespace
benchflow-ai
Migrate Java EE javax.* imports to Jakarta EE jakarta.* namespace. Use when upgrading to Spring Boot 3.x, migrating javax.persistence, javax.validation, javax.servlet imports, or fixing compilation errors after Jakarta EE transition. Covers package mappings, batch sed commands, and verification steps.
How to choose a Java skill
Select a skill based on the immediate goal of your current task. If you are starting a new project, prioritize the java-coding-standards or springboot-patterns files to establish a consistent foundation. For testing and debugging, select springboot-tdd to automate your validation processes. Evaluate each skill by its specific scope—whether it focuses on architectural design, security compliance, or documentation generation. Prioritize active repositories that match your target Java version and framework requirements, ensuring the AI agent produces code that aligns with your team's existing conventions.