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java-developmentJava 开发

Agent Skill

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。

总安装

654

周安装

27

GitHub Stars

8,638

下载量

214
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:java-development(Java 开发)
来源仓库:https://github.com/apache/beam
仓库路径:skills/java-development
安装命令:
npx skills add https://github.com/apache/beam --skill java-development
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/apache/beam --skill java-development

简介

辅助 Java 项目开发,涵盖 PCollection、PTransform 与 Runner 实现。

  • 提供项目结构导航、构建系统与 I/O 连接器使用指南。
  • 支持核心 SDK、扩展模块与示例代码的快速定位。
  • 需结合 Maven/Gradle 配置与 Runner 选择进行开发实践。
  • java-development 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Java Development in Apache Beam

Project Structure

Key Directories

  • sdks/java/core - Core Java SDK (PCollection, PTransform, Pipeline)
  • sdks/java/harness - SDK harness (container entrypoint)
  • sdks/java/io/ - I/O connectors (51+ connectors including BigQuery, Kafka, JDBC, etc.)
  • sdks/java/extensions/ - Extensions (SQL, ML, protobuf, etc.)
  • runners/ - Runner implementations:

- runners/direct-java - Direct Runner (local execution) - runners/flink/ - Flink Runner - runners/spark/ - Spark Runner - runners/google-cloud-dataflow-java/ - Dataflow Runner

  • examples/java/ - Java examples including WordCount

Build System

Apache Beam uses Gradle with a custom BeamModulePlugin. Every Java project's build.gradle starts with:

apply plugin: 'org.apache.beam.module'
applyJavaNature( ... )

Common Commands

Build Commands

# Compile a specific project
./gradlew -p sdks/java/core compileJava

# Build a project (compile + tests)
./gradlew :sdks:java:harness:build

# Run WordCount example
./gradlew :examples:java:wordCount

Running Unit Tests

# Run all tests in a project
./gradlew :sdks:java:harness:test

# Run a specific test class
./gradlew :sdks:java:harness:test --tests org.apache.beam.fn.harness.CachesTest

# Run tests matching a pattern
./gradlew :sdks:java:harness:test --tests *CachesTest

# Run a specific test method
./gradlew :sdks:java:harness:test --tests *CachesTest.testClearableCache

Running Integration Tests

Integration tests have filenames ending in IT.java and use TestPipeline.

# Run I/O integration tests on Direct Runner
./gradlew :sdks:java:io:google-cloud-platform:integrationTest

# Run with custom GCP project
./gradlew :sdks:java:io:google-cloud-platform:integrationTest \
  -PgcpProject=<project> -PgcpTempRoot=gs://<bucket>/path

# Run on Dataflow Runner
./gradlew :runners:google-cloud-dataflow-java:examplesJavaRunnerV2IntegrationTest \
  -PdisableSpotlessCheck=true -PdisableCheckStyle=true -PskipCheckerFramework \
  -PgcpProject=<project> -PgcpRegion=us-central1 -PgcsTempRoot=gs://<bucket>/tmp

Code Formatting

# Format Java code
./gradlew spotlessApply

Writing Integration Tests

@Rule public TestPipeline pipeline = TestPipeline.create();

@Test
public void testSomething() {
  pipeline.apply(...);
  pipeline.run().waitUntilFinish();
}

Set pipeline options via -DbeamTestPipelineOptions='[...]':

-DbeamTestPipelineOptions='["--runner=TestDataflowRunner","--project=myproject","--region=us-central1","--stagingLocation=gs://bucket/path"]'

Using Modified Beam Code

Publish to Maven Local

# Publish a specific module
./gradlew -Ppublishing -p sdks/java/io/kafka publishToMavenLocal

# Publish all modules
./gradlew -Ppublishing publishToMavenLocal

Building SDK Container

# Build Java SDK container (for Runner v2)
./gradlew :sdks:java:container:java11:docker

# Tag and push
docker tag apache/beam_java11_sdk:2.XX.0.dev \
  "us-docker.pkg.dev/your-project/beam/beam_java11_sdk:custom"
docker push "us-docker.pkg.dev/your-project/beam/beam_java11_sdk:custom"

Building Dataflow Worker Jar

./gradlew :runners:google-cloud-dataflow-java:worker:shadowJar

Test Naming Conventions

  • Unit tests: *Test.java
  • Integration tests: *IT.java

JUnit Report Location

After running tests, find HTML reports at: <project>/build/reports/tests/test/index.html

IDE Setup (IntelliJ)

  1. Open /beam (the repository root, NOT sdks/java)
  2. Wait for indexing to complete
  3. Find examples/java/build.gradle and click Run next to wordCount task to verify setup

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.03%
按下载量换算77

Claude

27.89%
按下载量换算60

Cursor

18.24%
按下载量换算39

Gemini CLI

8.66%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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