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This tool provides comprehensive methodologies for planning and executing zero-downtime system migrations. It covers database schema evolution, API compatibility analysis, and infrastructure cutovers, generating detailed rollback strategies and utilizing patterns like Strangler Fig and CDC to minimize business impact during high-risk transitions.

This skill simplifies the process of creating production-grade Model Context Protocol (MCP) servers. Instead of manually writing tool wrappers, it consumes standard OpenAPI specifications to generate complete server scaffolds in Python or TypeScript. It enforces schema validation, manages versioning, and ensures safe, maintainable integration points for LLM agents and AI tools.

A comprehensive guide and toolkit for Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. Covers advanced topics including schema management, multi-tenant patterns, complex DDL migrations (e.g., column operations, constraint changes), migration from MySQL, IAM authentication, and detailed query plan analysis (EXPLAIN ANALYZE). Use this skill for full lifecycle database development.