Covers core RDS operations: creating and modifying DB instances, managing snapshots, parameter groups, and querying instance metadata across PostgreSQL, MySQL, Aurora, and other engines
Includes security patterns for VPC configuration, encryption, IAM authentication, and deletion protection; Multi-AZ and automated backup setup for high availability
Provides Spring Boot and Lambda integration examples with connection
Fetches aws-sdk-java-v2-rds from giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
3
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4
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Confirm successful installation by checking the skill directory location:
.cursor/skills/aws-sdk-java-v2-rds
Restart Cursor to activate aws-sdk-java-v2-rds. Access via /aws-sdk-java-v2-rds in your agent's command palette.
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Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
This skill provides comprehensive guidance for working with Amazon RDS (Relational Database Service) using the AWS SDK for Java 2.x, covering database instance management, snapshots, parameter groups, and RDS operations.
When to Use
Creating, modifying, or deleting RDS database instances
Managing DB snapshots, parameter groups, and configurations
Setting up Multi-AZ deployments and automated backups
Connecting Lambda functions to RDS databases
Monitoring instance status and performance
Instructions
Follow these steps to work with Amazon RDS:
Add Dependencies - Include AWS RDS SDK dependency and database drivers
Create RDS Client - Instantiate RdsClient with proper region and credentials
Create DB Instance - Use createDBInstance() with appropriate configuration
Configure Security - Set up VPC security groups and encryption
Set Up Backups - Configure automated backup windows and retention
Monitor Status - Use describeDBInstances() to check instance state
Create Snapshots - Take manual snapshots before major changes
Handle Failover - Configure Multi-AZ for high availability
Getting Started
RDS Client Setup
The RdsClient is the main entry point for interacting with Amazon RDS.
Basic Client Creation:
importsoftware.amazon.awssdk.regions.Region;importsoftware.amazon.awssdk.services.rds.RdsClient;RdsClient rdsClient =RdsClient.builder().region(Region.US_EAST_1).build();// Use clientdescribeInstances(rdsClient);// Always close the clientrdsClient.close();
CreateDbInstanceRequest request =CreateDbInstanceRequest.builder().dbInstanceIdentifier(dbInstanceIdentifier).dbName(dbName).engine("postgres").engineVersion("15.4").dbInstanceClass("db.t3.micro").allocatedStorage(20).masterUsername(masterUsername).masterUserPassword(masterPassword).publiclyAccessible(false).build();CreateDbInstanceResponse response = rdsClient.createDBInstance(request);// VALIDATION CHECKPOINT: Wait for instance to be availablerdsClient.waiter().waitUntilDBInstanceAvailable(DescribeDbInstancesRequest.builder().dbInstanceIdentifier(dbInstanceIdentifier).build());System.out.println("Instance "+ dbInstanceIdentifier +" is available!");
›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
1Install skill using provided installation command
2Test with simple use case relevant to your work
3Evaluate output quality and relevance
4Iterate on prompts to improve results
5Integrate into regular workflow if valuable
Common Pitfalls
⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation
Best Practices
✓ Do
+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns
✗ Don't
−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment
💡 Pro Tips
★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation
