What problem does it solve? Building high-quality agent skills for Confluent products (Kafka, Flink, Schema Registry, Tableflow, Connectors) requires deep platform knowledge, spec compliance, and real end-to-end testing — this Skill guides the entire authoring workflow so generated skills are correct, secure, and validated against live Confluent environments. ## Core Features & Use Cases - Guided skill authoring workflow: Walks through scope definition, platform targeting (Confluent Cloud, Platform, Apache Kafka, WarpStream), interaction method selection (MCP, CLI, REST APIs, client libraries), and spec compliance validation. - Real E2E testing with bundled scripts: Ships Python scripts for producing JSON_SR data, consuming and verifying messages, registering schemas, checking Flink compute pools, and cleaning up resources. - Security guardrails built in: Enforces credential-file protection (never read .env contents), synthetic-data-only rules, and plan-before-execute confirmation for all resource-modifying operations. - Use Case: A developer wants to publish a "CDC from PostgreSQL to Iceberg via Debezium and Tableflow" skill. This Skill interviews them, generates the SKILL.md with evals and credential templates, validates it against the Agent Skills spec, and runs E2E tests against Confluent Cloud before packaging. ## Quick Start Ask the assistant to create a new Confluent skill, for example: "Create a skill for real-time order enrichment using Flink SQL on Confluent Cloud."