# Kafka Topic Designer

> Designs and optimizes Apache Kafka topics and configurations

- Skill: `a5c-ai/kafka-topic-designer` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/kafka-topic-designer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/kafka-topic-designer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/kafka-topic-designer

---


# Kafka Topic Designer

## Overview

Designs and optimizes Apache Kafka topics and configurations. This skill provides expertise in topic architecture, partitioning strategies, and producer/consumer configuration for optimal streaming performance.

## Capabilities

- Topic naming convention design
- Partition strategy optimization
- Replication factor recommendations
- Retention policy configuration
- Compaction strategy design
- Schema registry integration
- Consumer group design
- Throughput capacity planning
- Security configuration (ACLs, encryption)

## Input Schema

```json
{
  "requirements": {
    "throughputMBps": "number",
    "messageSize": "number",
    "retentionDays": "number",
    "orderingRequirements": "string"
  },
  "existingTopics": ["object"],
  "clusterConfig": "object"
}
```

## Output Schema

```json
{
  "topicDesign": {
    "name": "string",
    "partitions": "number",
    "replicationFactor": "number",
    "configs": "object"
  },
  "schemaDefinition": "object",
  "producerConfig": "object",
  "consumerConfig": "object"
}
```

## Target Processes

- Streaming Pipeline
- ETL/ELT Pipeline (CDC)
- Feature Store Setup

## Usage Guidelines

1. Define throughput and latency requirements
2. Specify message size and retention needs
3. Document ordering requirements (per-partition, global)
4. Include existing topic configurations for consistency

## Best Practices

- Use consistent naming conventions across all topics
- Size partitions based on consumer parallelism needs
- Configure appropriate retention for compliance and replay scenarios
- Implement schema registry for schema evolution
- Set up proper ACLs for security

