kafka-schema-registry

Analyze Kafka applications to extract schemas, detect PII, and generate Terraform configurations.

42|4|Updated Mar 13, 2026

Search Tags:#schema #terraform #kafka #data governance #PII tagging

Ready to run

npx skills add https://github.com/confluentinc/agent-skills --skill kafka-schema-registry

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kafka-schema-registry
Source: https://github.com/confluentinc/agent-skills/tree/main/skills/kafka-schema-registry
Command: npx skills add https://github.com/confluentinc/agent-skills --skill kafka-schema-registry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires confluent-kafka, terraform, yaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of analyzing, extracting, and managing schemas for Kafka applications, ensuring data consistency and governance.

Core Features & Use Cases

Schema Discovery and Extraction: Identify Kafka producers and consumers, extract data schemas from various programming languages and inline data.
Schema Tagging and Governance: Detect PII and sensitive fields in schemas for compliance auditing.
Terraform Generation: Create infrastructure-as-code for schema registration and governance policies.
Use Case: When onboarding new Kafka data pipelines, use this Skill to analyze existing codebases, tag sensitive data, and generate Terraform configs for schema enforcement.

Quick Start

Use the kafka-schema-registry skill to scan a repository containing Kafka producers and consumers, then generate schema files and Terraform for governance.

Frequently Asked Questions about kafka-schema-registry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract Kafka schemas from an existing codebase for migration?▼

You can identify PII and sensitive fields for compliance auditing by scanning your Kafka schemas. This process automatically detects sensitive data within your schemas, enabling data governance and ensuring regulatory compliance for your pipelines.

Can I generate Terraform configurations for Kafka schema registration?▼

Schema discovery works by scanning your repository to identify Kafka producers and consumers. It then extracts data schemas from various programming languages and inline data to provide a comprehensive view for governance.

Does this approach work with YAML configurations and Confluent Kafka?▼

What is the best way to automate data governance for Kafka pipelines?▼

Why do I need Terraform for Kafka schema management?▼

Yes, this approach works with Confluent Kafka and YAML configurations. It relies on these dependencies alongside Terraform to analyze applications, extract schemas, and produce detailed compliance reports for data governance.