# managing-amazon-kinesis-data-streams

A skill for Amazon Kinesis Data Streams that sets up delivery from a stream into Iceberg tables on S3 Tables or plain S3 buckets.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1800 installs · ★ 3282
- Author: aws
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/aws/agent-toolkit-for-aws/tree/HEAD/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/managing-amazon-kinesis-data-streams

## What it does

The skill hands your agent working knowledge of streaming tables and Amazon S3 delivery. That means serverless delivery from a KDS stream straight into Apache Iceberg tables on S3 Tables, or into general-purpose S3 buckets. No consumers, no Firehose, no Flink for append-only delivery.

Delivery is configured as a channel on a stream through `CreateChannel`. Channels take no shard capacity and no enhanced fan-out slots, so they do not compete with consumers you already run. The skill walks through channel setup, IAM, Glue schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas and troubleshooting. The AWS MCP server is the recommended way to run operations; without it, use the AWS CLI.

Both destinations need an ON_DEMAND stream, since provisioned mode is not supported. You also need an IAM service execution role trusted by `kinesis.amazonaws.com` and a destination in the same Region as the stream. Check the hard limits before you design anything: append-only, no CDC or deletes, no schema evolution, no backfill, no transformations, one new table per channel, and data freshness of 300–900 seconds. A schema change means deleting the channel and creating it again. If any of that blocks you, the skill points to Managed Service for Apache Flink instead.

## Requirements
- Works with: AWS

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/managing-amazon-kinesis-data-streams/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/managing-amazon-kinesis-data-streams/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/managing-amazon-kinesis-data-streams/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/managing-amazon-kinesis-data-streams/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install aws/agent-toolkit-for-aws managing-amazon-kinesis-data-streams
```

2. **Manually: put the files in place**
- File: `.github/skills/managing-amazon-kinesis-data-streams/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/aws/agent-toolkit-for-aws --path skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/managing-amazon-kinesis-data-streams/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/aws/agent-toolkit-for-aws/tree/HEAD/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams/SKILL.md

## When to use it
- set up delivery from a KDS stream into Iceberg tables on S3 Tables
- create a channel on a stream with CreateChannel without disturbing existing consumers
- grant the IAM role the delivery needs
- debug a channel stuck in ACTIVE with no data arriving
- add CloudWatch alarms on data freshness

## Example prompts
- Set up delivery from my Kinesis stream into an Iceberg table on S3 Tables
- The channel is active but no records show up — check the DLQ and data freshness
- Create a channel on my stream that writes to an S3 bucket with a date-based key template

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 2ae7a775d5cfb059.

BEGIN THIRD-PARTY FILE 2ae7a775d5cfb059
```text
---
name: managing-amazon-kinesis-data-streams
description: >-
  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.
version: 1
---

# 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.

## Which Workflow Do You Need?

| Customer Intent | Reference |
|---|---|
```
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