confluent-tuning-advisor
Advisory-only Kafka tuning for Confluent Cloud or Confluent Platform by priority: latency, throughput, availability, or durability. Use when asked to size a planned topic or tune an existing cluster, topic, producer, or consumer for a quantified target such as lower p99 latency or no lost acknowledged writes. Inspects configuration read-only and recommends changes, trade-offs, and validation; the administrator applies them. Do NOT trigger for: WarpStream or Apache Kafka OSS-only clusters; Flink SQL or UDF authoring, tuning, or debugging (use confluent-cloud-flink-sql or flink-udf); Kafka Connect tuning; new Java/Python client implementation (use developing-kafka-java-client or developing-kafka-python-client); Kafka Streams/KStream/KTable development (use kafka-streams-programming); or CDC, Tableflow, or Iceberg pipelines (use confluent-cloud-cdc-tableflow).
Install
With your agent
Install OMGSkills skill "confluentinc/agent-skills:skills/confluent-tuning-advisor" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/confluentinc/agent-skills /tmp/agent-skills && ln -s /tmp/agent-skills/skills/confluent-tuning-advisor ~/.claude/skills/confluent-tuning-advisorFrom README
Confluent Tuning Advisor Turns a workload's priority (latency, throughput, availability, or durability) into a concrete, platform-appropriate recommendation: which Kafka settings to change, from what to what, why, what it trades against, and how the administrator should validate it afterward. Targets Confluent Cloud and Confluent Platform only. Kafka only — Flink (including Flink SQL job tuning) is out of scope; see the "Do NOT trigger" clause in the description. These four priorities are not independent — every recommendation trades against at least one other axis. The core job of this skill is to make that trade-off explicit, not to pretend a free lunch exists. Advisory-only — this skill never changes anything. It may inspect configuration and runtime state (read-only) and propose changes.
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