Individual skill

managing-amazon-kinesis-data-streams

Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.

skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams/SKILL.md

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Last checked: Nov 3, 2026

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Repository stars (not skill ratings): 3,430
Repository last updated: Nov 7, 2026
License: Apache-2.0

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# Amazon Kinesis Data Streams

## Overview

Domain expertise for Amazon Kinesis Data Streams. This skill covers **streaming tables and Amazon S3 delivery**, which provide serverless, fully managed delivery from a KDS stream directly to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets — no consumers, no Firehose, no Flink required for append-only delivery.

Delivery is configured as a **channel** on a stream via `CreateChannel`. Channels consume no shard capacity and no enhanced fan-out slots, so they do not compete with existing consumers.

The AWS MCP server is recommended for executing AWS operations. When the MCP server is not available, use the AWS CLI or shell commands instead.

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