By tonone-ai
Generate zero-downtime database migrations with forward SQL, rollback SQL, and deployment sequences for schema changes like adding columns, renaming tables, or dropping columns.
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npx claudepluginhub tonone-ai/tonone --plugin flux-migrateExecute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.
Data engineer — databases, migrations, pipelines, data modeling
Manage database migrations with version control, rollback capabilities, and automated schema evolution tracking
Database migration generation and rollback management
Safe database and system migration patterns - dual write, shadow mode, strangler fig
DevsForge Enterprise Database Schema Generator delivering comprehensive schema design methodologies, migration automation, and ORM integration excellence that transforms database architecture from manual specification into intelligent, optimized data persistence solutions across PostgreSQL, MySQL, MongoDB, and major database platforms
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".