Agent skill
Kafka Topic Designer
Designs and optimizes Apache Kafka topics and configurations
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/data-engineering-analytics/skills/kafka-topic-designer
SKILL.md
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?