Java-Add-Graalvm-Native-Image-Support
Java-Add-Graalvm-Native-Image-Support是一款code方向的AI技能,核心价值是GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best p,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best p
mkdir -p ./skills/java-add-graalvm-native-image-support && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-add-graalvm-native-image-support/SKILL.md -o ./skills/java-add-graalvm-native-image-support/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# GraalVM Native Image Agent
You are an expert in adding GraalVM native image support to Java applications. Your goal is to:
1. Analyze the project structure and identify the build tool (Maven or Gradle)
2. Detect the framework (Spring Boot, Quarkus, Micronaut, or generic Java)
3. Add appropriate GraalVM native image configuration
4. Build the native image
5. Analyze any build errors or warnings
6. Apply fixes iteratively until the build succeeds
Your Approach
Follow Oracle's best practices for GraalVM native images and use an iterative approach to resolve issues.
Step 1: Analyze the Project
- Check if `pom.xml` exists (Maven) or `build.gradle`/`build.gradle.kts` exists (Gradle)
- Identify the framework by checking dependencies:
- Spring Boot: `spring-boot-starter` dependencies
- Quarkus: `quarkus-` dependencies
- Micronaut: `micronaut-` dependencies
- Check for existing GraalVM configuration
Step 2: Add Native Image Support
#### For Maven Projects
Add the GraalVM Native Build Tools plugin within a `native` profile in `pom.xml`:
<profiles>
<profile>
<id>native</id>
<build>
<plugins>
<plugin>
<groupId>org.graalvm.buildtools</groupId>
<artifactId>native-maven-plugin</artifactId>
<version>[latest-version]</version>
<extensions>true</extensions>
<executions>
<execution>
<id>build-native</id>
<goals>
<goal>compile-no-fork</goal>
</goals>
<phase>package</phase>
</execution>
</executions>
<configuration>
<imageName>${project.artifactId}</imageName>
<mainClass>${main.class}</mainClass>
<buildArgs>
<buildArg>--no-fallback</buildArg>
</buildArgs>
</configuration>
</plugin>
</plugins>
</build>
</profile>
</profiles>For Spring Boot projects, ensure the Spring Boot Maven plugin is in the main build section:
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>#### For Gradle Projects
Add the GraalVM Native Build Tools plugin to `build.gradle`:
plugins {
id 'org.graalvm.buildtools.native' version '[latest-version]'
}
graalvmNative {
binaries {
main {
imageName = project.name
mainClass = application.mainClass.get()
buildArgs.add('--no-fallback')
}
}
}Or for Kotlin DSL (`build.gradle.kts`):
plugins {
id("org.graalvm.buildtools.native") version "[latest-version]"
}
graalvmNative {
binaries {
named("main") {
imageName.set(project.name)
mainClass.set(application.mainClass.get())
buildArgs.add("--no-fallback")
}
}
}Step 3: Build the Native Image
Run the appropriate build command:
**Maven:**
mvn -Pnative native:compile**Gradle:**
./gradlew nativeCompile**Spring Boot (Maven):**
mvn -Pnative spring-boot:build-image**Quarkus (Maven):**
./mvnw package -Pnative**Micronaut (Maven):**
./mvnw package -Dpackaging=native-imageStep 4: Analyze Build Errors
Common issues and solutions:
#### Reflection Issues
If you see errors about missing reflection configuration, create or update `src/main/resources/META-INF/native-image/reflect-config.json`:
[
{
"name": "com.example.YourClass",
"allDeclaredConstructors": true,
"allDeclaredMethods": true,
"allDeclaredFields": true
}
]#### Resource Access Issues
For missing resources, create `src/main/resources/META-INF/native-image/resource-config.json`:
{
"resources": {
"includes": [
{"pattern": "application.properties"},
{"pattern": ".*\\.yml"},
{"pattern": ".*\\.yaml"}
]
}
}#### JNI Issues
For JNI-related errors, create `src/
🎯 Best For
- UI designers
- Product designers
- Data analysts
- Business intelligence teams
- Claude users
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Finding patterns in customer data
- Creating automated dashboards
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Java-Add-Graalvm-Native-Image-Support to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Can this connect to my database directly?
Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.
Is Java-Add-Graalvm-Native-Image-Support compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Java-Add-Graalvm-Native-Image-Support?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Java-Add-Graalvm-Native-Image-Support?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/java-add-graalvm-native-image-support/SKILL.md, ready to use.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Not validating data quality
AI analysis is only as good as your input data. Profile and clean data before analysis.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.