What problem does it solve? Generic Flink knowledge leads to incorrect answers for Amazon Managed Service for Apache Flink (MSF) because the service has unique constraints: the KPU resource model, prohibited checkpoint and parallelism configuration in application code, the kinesisanalyticsv2 vs kinesisanalytics identifier split across CLI, IAM, and CloudWatch, two-phase IaC deployments, and snapshot lifecycle rules. This Skill supplies the MSF-specific guidance needed to answer and build correctly. ## Core Features & Use Cases - MSF-Aware Development Guidance: Enforces correct patterns such as no checkpoint or parallelism config in app code, operator UID discipline, and Secrets Manager-based CDC credentials. - Connector and Integration References: Covers Kinesis (polling and EFO), Kafka/MSK, Iceberg sinks and tuning, and CDC sources for MySQL, PostgreSQL, Oracle, SQL Server, and MongoDB with version-correct Maven coordinates. - Operations and Troubleshooting: Provides runbooks for application lifecycle, safe deploys with rollback paths, KPU sizing, checkpoint tuning, restart-loop diagnosis, monitoring, and Flink 1.x to 2.x migration. - Use Case: A developer asks how to deploy a Flink CDC pipeline from Aurora MySQL to Iceberg on MSF. The Skill loads the CDC connector guide, Iceberg guide, dependency management, and IaC references to produce correct code, pom.xml, IAM policies, and a two-phase deployment plan. ## Quick Start Ask how to build, deploy, size, or troubleshoot an Apache Flink application on Amazon Managed Service for Apache Flink and the relevant reference guides will be loaded before answering.