graalvm-native-image▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Expert skill for building high-performance native executables from Java applications using GraalVM Native Image, dramatically reducing startup time and memory consumption.
GraalVM Native Image for Java Applications
Expert skill for building high-performance native executables from Java applications using GraalVM Native Image, dramatically reducing startup time and memory consumption.
Overview
GraalVM Native Image compiles Java applications ahead-of-time (AOT) into standalone native executables. These executables start in milliseconds, require significantly less memory than JVM-based deployments, and are ideal for serverless functions, CLI tools, and microservices where fast startup and low resource usage are critical.
This skill provides a structured workflow to migrate JVM applications to native binaries, covering build tool configuration, framework-specific patterns, reflection metadata management, and an iterative approach to resolving native build failures.
When to Use
Use this skill when:
- Converting a JVM-based Java application to a GraalVM native executable
- Optimizing cold start times for serverless or containerized deployments
- Reducing memory footprint (RSS) of Java microservices
- Configuring Maven or Gradle with GraalVM Native Build Tools
- Resolving
ClassNotFoundException,NoSuchMethodException, or missing resource errors in native builds - Generating or editing
reflect-config.json,resource-config.json, or other GraalVM metadata files - Using the GraalVM tracing agent to collect reachability metadata
- Implementing
RuntimeHintsfor Spring Boot native support - Building native images with Quarkus or Micronaut
Instructions
1. Contextual Project Analysis
Before any configuration, analyze the project to determine the build tool, framework, and dependencies:
Detect the build tool:
# Check for Maven
if [ -f "pom.xml" ]; then
echo "Build tool: Maven"
# Check for Maven wrapper
[ -f "mvnw" ] && echo "Maven wrapper available"
fi
# Check for Gradle
if [ -f "build.gradle" ] || [ -f "build.gradle.kts" ]; then
echo "Build tool: Gradle"
[ -f "build.gradle.kts" ] && echo "Kotlin DSL"
[ -f "gradlew" ] && echo "Gradle wrapper available"
fi
Detect the framework by analyzing dependencies:
- Spring Boot: Look for
spring-boot-starter-*inpom.xmlorbuild.gradle - Quarkus: Look for
quarkus-*dependencies - Micronaut: Look for
micronaut-*dependencies - Plain Java: No framework dependencies detected
Check the Java version:
java -version 2>&1
# GraalVM Native Image requires Java 17+ (recommended: Java 21+)
Identify potential native image challenges:
- Reflection-heavy libraries (Jackson, Hibernate, JAXB)
- Dynamic proxy usage (JDK proxies, CGLIB)
- Resource bundles and classpath resources
- JNI or native library dependencies
- Serialization requirements
2. Build Tool Configuration
Configure the appropriate build tool plugin based on the detected environment.
For Maven projects, add a dedicated native profile to keep the standard build clean. See the Maven Native Profile Reference for full configuration.
Key Maven setup:
<profiles>
<profile>
<id>native</id>
<build>
<plugins>
<plugin>
<groupId>org.graalvm.buildtools</groupId>
<artifactId>native-maven-plugin</artifactId>
<version>0.10.6</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>
<buildArgs>
<buildArg>--no-fallback</buildArg>
</buildArgs>
</configuration>
</plugin>
</plugins>
</build>
</profile>
</profiles>
Build with: ./mvnw -Pnative package
For Gradle projects, apply the org.graalvm.buildtools.native plugin. See the Gradle Native Plugin Reference for full configuration.
Key Gradle setup (Kotlin DSL):
plugins {
id("org.graalvm.buildtools.native") version "0.10.6"
}
graalvmNative {
binaries {
named("main") {
imageName.set(project.name)
buildArgs.add("--no-fallback")
}
}
}
Build with: ./gradlew nativeCompile
3. Framework-Specific Configuration
Each framework has its own AOT strategy. Apply the correct configuration based on the detected framework.
Spring Boot (3.x+): Spring Boot has built-in GraalVM support with AOT processing. See the Spring Boot Native Reference for patterns including RuntimeHints, @RegisterReflectionForBinding, and test support.
Key points:
- Use
spring-boot-starter-parent3.x+ which includes the native profile - Register reflection hints via
RuntimeHintsRegistrar - Run AOT processing with
process-aotgoal - Build with:
./mvnw -Pnative native:compileor./gradlew nativeCompile
Quarkus and Micronaut: These frameworks are designed native-first and require minimal additional configuration. See the Quarkus & Micronaut Reference.
4. GraalVM Reachability Metadata
Native Image uses a closed-world assumption — all code paths must be known at build time. Dynamic features like reflection, resources, and proxies require explicit metadata configuration.
Metadata files are placed in META-INF/native-image/<group.id>/<artifact.id>/:
| File | Purpose |
|---|---|
reachability-metadata.json |
Unified metadata (reflection, resources, JNI, proxies, bundles, serialization) |
reflect-config.json |
Legacy: Reflection registration |
resource-config.json |
Legacy: Resource inclusion patterns |
proxy-config.json |
Legacy: Dynamic proxy interfaces |
serialization-config.json |
Legacy: Serialization registration |
jni-config.json |
Legacy: JNI access registration |
See the Reflection & Resource Config Reference for complete format and examples.
5. The Iterative Fix Engine
Native image builds often fail due to missing metadata. Follow this iterative approach:
Step 1 — Execute the native build:
# Maven
./mvnw -Pnative package 2>&1 | tee native-build.log
# Gradle
./gradlew nativeCompile 2>&1 | tee native-build.log
Step 2 — Parse build errors and identify the root cause:
Common error patterns and their fixes:
| Error Pattern | Cause | Fix |
|---|---|---|
ClassNotFoundException: com.example.MyClass |
Missing reflection metadata | Add to reflect-config.json or use @RegisterReflectionForBinding |
NoSuchMethodException |
Method not registered for reflection | Add method to reflection config |
MissingResourceException |
Resource not included in native image | Add to resource-config.json |
Proxy class not found |
Dynamic proxy not registered | Add interface list to proxy-config.json |
UnsupportedFeatureException: Serialization |
Missing serialization metadata | Add to serialization-config.json |
Step 3 — Apply fixes by updating the appropriate metadata file or using framework annotations.
Step 4 — Rebuild and verify. Repeat until the build succeeds.
Step 5 — If manual fixes are insufficient, use the GraalVM tracing agent to collect reachability metadata automatically. See the Tracing Agent Reference.
6. Validation and Benchmarking
Once the native build succeeds:
Verify the executable runs correctly:
# Run the native executable
./target/<app-name>
# For Spring Boot, verify the application context loads
curl http://localhost:8080/actuator/health
Measure startup time:
# Time the startup
time ./target/<app-name>
# For Spring Boot, check the startup log
./target/<app-name> 2>&1 | grep "Started .* in"
Measure memory footprint (RSS):
# On LinuxHow to use graalvm-native-image on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add graalvm-native-image
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches graalvm-native-image from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate graalvm-native-image. Access the skill through slash commands (e.g., /graalvm-native-image) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★36 reviews- ★★★★★Aisha Sharma· Dec 24, 2024
graalvm-native-image has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Daniel Rahman· Dec 24, 2024
Solid pick for teams standardizing on skills: graalvm-native-image is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Dec 8, 2024
graalvm-native-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 27, 2024
I recommend graalvm-native-image for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diego Khan· Nov 15, 2024
graalvm-native-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Zaid Choi· Nov 15, 2024
We added graalvm-native-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Rahul Santra· Nov 7, 2024
graalvm-native-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Oct 26, 2024
Keeps context tight: graalvm-native-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Oct 18, 2024
Useful defaults in graalvm-native-image — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diego Diallo· Oct 6, 2024
We added graalvm-native-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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