graalvm-native-image

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill graalvm-native-image
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summary

Expert skill for building high-performance native executables from Java applications using GraalVM Native Image, dramatically reducing startup time and memory consumption.

skill.md

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 RuntimeHints for 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-* in pom.xml or build.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-parent 3.x+ which includes the native profile
  • Register reflection hints via RuntimeHintsRegistrar
  • Run AOT processing with process-aot goal
  • Build with: ./mvnw -Pnative native:compile or ./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 Linux
how to use graalvm-native-image

How to use graalvm-native-image on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill graalvm-native-image

The skills CLI fetches graalvm-native-image from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/graalvm-native-image

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.536 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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