// Generate a Kafka consumer group lag dashboard. Use when the user asks to monitor lag, build a dashboard for consumer lag, or wire up Prometheus exporters for Kafka. Do NOT trigger for producer metrics, broker JMX, or Streams-specific monitoring.
Helps with stuff.
Generate a Confluent Cloud topic creation script with idempotency checks. Use when the user asks to create a topic, provision topics, or write a `create-topics.sh` for Confluent Cloud. Do NOT trigger for self-managed Apache Kafka, schema registration, Terraform generation, or Kafka Streams topology authoring.
Generate a Schema Registry compatibility report for Avro schemas in a project. Use when the user asks to check Avro compatibility, validate schema evolution, or report breaking changes. Do NOT trigger for Protobuf, JSON Schema, or Kafka client code generation.
Build a Confluent Cloud topic provisioning script with retention and compaction. Use when the user asks to create a topic, write a `create-topics.sh`, set retention, set compaction policy, provision topics for Confluent Cloud, or generate idempotent topic scripts.
Review a Confluent agent skill in this repo against the Agent Skills spec (agentskills.io), Confluent conventions in CLAUDE.md, the PR template gates, and the evals-as-contract rule. Use this skill whenever the user asks to review, audit, validate, or lint a skill; opens or inspects a PR that adds or modifies anything under `skills/`; asks about spec conformance, lazy-loading, frontmatter shape, trigger overlap, or eval coverage; or wants a pre-merge sanity check on skill changes. Do NOT trigger for general code review of application code; security review; auditing schemas, producer/consumer configs, PII tagging, or Terraform generation for Schema Registry (handled by `kafka-schema-registry`); runtime/log analysis of skill behavior (use `tools/skill_review_dashboard.py`); or any changes that don't touch the `skills/` tree.
Build and deploy Apache Flink user-defined functions (UDFs) in Java for stream processing over Kafka. Use this skill when users want to create scalar UDFs, user-defined table functions (UDTFs), or process table functions (PTFs) in Java, deploy them to Confluent Cloud or local Docker environments, and invoke them from Flink SQL or the Table API. Trigger on: Flink UDF, custom Flink function, process table function, PTF, UDTF, Flink user defined, extend Flink SQL, stateful stream processing with Flink. Do NOT trigger for: Kafka Streams UDFs (use kafka-streams-programming skill), general Flink job development without custom functions, CDC streaming data piplines that include Flink (prefer the confluent-cloud-cdc-tableflow skill), Flink connector setup, or Kafka producer/consumer code.
| name | inlined-refs |
| description | Generate a Kafka consumer group lag dashboard. Use when the user asks to monitor lag, build a dashboard for consumer lag, or wire up Prometheus exporters for Kafka. Do NOT trigger for producer metrics, broker JMX, or Streams-specific monitoring. |
We support two exporters. Read the comparison below before recommending.
Pros: lightweight, single binary, exposes per-group lag directly.
Cons: stateful (consumes __consumer_offsets internally), can lag on large clusters.
Best for: clusters < 100 brokers, < 1000 consumer groups.
Config snippet:
kafka-exporter \
--kafka.server=localhost:9092 \
--kafka.version=3.5.0 \
--web.listen-address=:9308
Pros: official, covers full Confluent Platform metrics. Cons: paid licensing, heavier footprint.
Best for: enterprise Confluent Platform users.
Use Grafana dashboard 7589 for kafka-exporter. Filter by consumer group, plot kafka_consumergroup_lag over a 5-minute window.
Set lag > 10,000 messages for 5 minutes as the default alert. Adjust per topic SLA.