Kafka Topic Designer
SkillDev toolsDesigns and optimizes Apache Kafka topics and configurations
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Kafka Topic Designer skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-engineering-analytics/skills/kafka-topic-designer/SKILL.md and read by ahel’s review.
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
{
"requirements": {
"throughputMBps": "number",
"messageSize": "number",
"retentionDays": "number",
"orderingRequirements": "string"
},
"existingTopics": ["object"],
"clusterConfig": "object"
}
Output Schema
{
"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
- Define throughput and latency requirements
- Specify message size and retention needs
- Document ordering requirements (per-partition, global)
- 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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
kafka-topic-designer- Source
- github.com/a5c-ai/babysitter