Kafka Topic Designer
DevOps & SecurityKafka Topic Designer is an Agent Skill for devops & security published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Designs and optimizes Apache Kafka topics and configurations
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/data-engineering-analytics/skills/kafka-topic-designer/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/kafka-topic-designer, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
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
{
"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