schema-evolution-compatibility

Validate additive-only schema changes for backward compatibility in CI pipelines.

9|3|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill schema-evolution-compatibility
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-evolution-compatibility
Source: https://github.com/Sir-chawakorn/sanook-cli/tree/main/skills/schema-evolution-compatibility
Command: npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill schema-evolution-compatibility

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents production outages caused by breaking changes in shared data contracts like Kafka events, API payloads, and database schemas.

Core Features & Use Cases

  • Compatibility Analysis: Determines the correct upgrade order (backward, forward, or full) for producers and consumers.
  • Safe Migration Patterns: Provides step-by-step guidance for complex changes like field renames or type updates using the expand-migrate-contract pattern.
  • CI/CD Integration: Offers strategies to automate compatibility checks using tools like Buf and Confluent Schema Registry to block breaking changes before they are merged.

Quick Start

Analyze the proposed schema change in the current branch to ensure it maintains backward compatibility with existing consumers.

Frequently Asked Questions about schema-evolution-compatibility

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

FAQPage Schema
How do I evolve Kafka event schemas without breaking downstream consumers?

To evolve Kafka event schemas without breaking consumers, apply additive-only changes, use reserved identifiers, and automate schema registry validation in CI pipelines to block breaking changes before deployment.

What is the expand-migrate-contract pattern for database schema migration?

The expand-migrate-contract pattern is a safe migration method for complex schema changes like field renames or type updates, ensuring producers and consumers upgrade independently without downtime.

How do I automate Protobuf compatibility checks in CI/CD pipelines?

Automate Protobuf compatibility checks in CI/CD by integrating tools like Buf and Confluent Schema Registry to validate changes against backward and forward compatibility rules before merging.

When do I need backward versus forward compatibility for API payloads?

Backward compatibility is needed when upgrading consumers to read old data, while forward compatibility is required when upgrading producers to ensure old consumers can read new data without errors.

Can I rename a field in a Protobuf schema without causing production outages?

Yes, you can rename a Protobuf field without outages by applying the expand-migrate-contract pattern, which involves adding the new field, migrating data, and removing the old field safely.