Kafka Topic Designer
Designs and optimizes Apache Kafka topics and configurations
npx skills add a5c-ai/babysitter --skill kafka-topic-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 retentio
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the Kafka Topic Designer skill do?
Designs and optimizes Apache Kafka topics and configurations
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill kafka-topic-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.