a5c-ai/Schema Evolution Manager
library/specializations/data-engineering-analytics/skills/schema-evolution-manager/SKILL.md
Manages schema evolution and compatibility across data systems
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter Schema Evolution ManagerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 28, 2026, 4:57 PM202.0s2 files scanned
SKILL.md
- name:
- Schema Evolution Manager
- description:
- Manages schema evolution and compatibility across data systems
- version:
- 1.0.0
- category:
- Data Governance
- skillId:
- SK-DEA-011
Schema Evolution Manager
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
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026