sk Skill · lensesio
kafka-perf-review
Review Kafka producer and consumer performance configurations in both the live cluster (via Lenses MCP) and the codebase. Flags un-tuned defaults, anti-patterns and missing best practices. Use when user says "review Kafka performance", "check producer configs", "tune Kafka settings" or asks about throughput, batching or compression. Do NOT use for cluster sizing or capacity planning.
Open on skills.sh ↗read 2026-09-15
- installs 8w
- 0
- 30-day movement
- starts with the next reading
- Related entries
- 1
- Connections
- 8
Pythonmcp-enhancementconsumersproducersperformancetuningkafka
- Host repository
- lensesio/agentic-engineering-for-apache-kafka
- Category
- mcp-enhancement
- Version
- 1.0.0
- Allowed tools
- Read, Grep, Glob, Bash, mcp__Lenses__get_topic, mcp__Lenses__get_topic_broker_configs, mcp__Lenses__get_topic_partitions, mcp__Lenses__get_dataset_message_metrics
- Compatible with
- list_consumer_groups, etc.) will also work, without an MCP server, the skill falls back to codebase-only inspection and skips live-cluster checks.
- Licence
- MIT
- Host stars
- 57
- Host language
- Python