Schema Evolution Manager
SkillDev toolsManages schema evolution and compatibility across data systems
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Schema Evolution Manager skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-engineering-analytics/skills/schema-evolution-manager/SKILL.md and read by ahel’s review.
Overview
Manages schema evolution and compatibility across data systems. This skill ensures safe schema changes that maintain backward and forward compatibility.
Capabilities
- Schema compatibility checking (Avro, Protobuf, JSON Schema)
- Breaking change detection
- Migration script generation
- Version management
- Schema registry operations
- Backward/forward compatibility validation
- Schema documentation generation
- Cross-system schema synchronization
Input Schema
{
"currentSchema": "object",
"proposedSchema": "object",
"schemaFormat": "avro|protobuf|jsonschema|ddl",
"compatibilityMode": "backward|forward|full|none"
}
Output Schema
{
"compatible": "boolean",
"breakingChanges": ["object"],
"migrationScript": "string",
"recommendations": ["string"],
"versionInfo": "object"
}
Target Processes
- Streaming Pipeline
- ETL/ELT Pipeline
- Data Catalog
- Pipeline Migration
Usage Guidelines
- Provide current and proposed schema definitions
- Specify schema format for proper parsing
- Define compatibility mode based on system requirements
- Review breaking changes before proceeding with migration
Best Practices
- Always test schema changes in non-production first
- Use schema registry for centralized schema management
- Document schema versions and changes
- Plan migration strategies for breaking changes
- Coordinate schema changes across dependent systems
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
schema-evolution-manager- Source
- github.com/a5c-ai/babysitter