Does this skill perform the migrations itself?

No, it acts as an orchestrator that invokes specialized sub-skills like migration-deployer, backup-manager, and migration-generator to perform the actual work.

Which workflow environments are supported?

It is designed to handle development (auto-migration), staging (validation), and production (high-safety) environments with tailored logic for each.

What is the primary role of the FABER DB Coordinator?

It manages the lifecycle of database changes through different development phases, from detecting schema needs in the planning stage to executing production deployments.

How does it handle production failures?

It performs mandatory pre-deployment backups and runs post-deployment health checks, providing immediate recovery guidance and status logs if issues occur.

Can it prevent destructive database operations?

Yes, it coordinates with a safety-validator to analyze migrations for risk and requires explicit manual approval before deploying to production environments.

FABER DB Coordinator

Name: FABER DB Coordinator
Author: fractary

byfractary

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Database Management

Orchestrates database lifecycle operations across development phases from requirement detection to production release.

About

The FABER DB Coordinator acts as the central intelligence for database management within the FABER (Frame, Architect, Build, Evaluate, Release) workflow. It automatically detects database requirements from project work items, coordinates migration generation from architectural specifications, and manages deployments across dev, staging, and production. By acting as a bridge between high-level workflows and specialized database tools, it ensures that schema changes are validated, backed up, and deployed safely with integrated health checks at every stage.

Key Features

Coordinated migration generation and deployment across multi-tier environments
Real-time health checks and schema drift detection for staging and production
Automated database requirement detection from work item metadata
Comprehensive logging and audit trails for all database coordination activities
Integrated production safety protocols including automated pre-deployment backups
2 GitHub stars

Use Cases

Synchronizing database migrations between development, staging, and production environments
Ensuring safe, validated production deployments with automated rollback points
Automating database schema updates during feature development cycles

About

Key Features

Coordinated migration generation and deployment across multi-tier environments
Real-time health checks and schema drift detection for staging and production
Automated database requirement detection from work item metadata
Comprehensive logging and audit trails for all database coordination activities
Integrated production safety protocols including automated pre-deployment backups
2 GitHub stars

Use Cases

Synchronizing database migrations between development, staging, and production environments
Ensuring safe, validated production deployments with automated rollback points
Automating database schema updates during feature development cycles