Select pgdbm deployment patterns based on project topology and migration constraints.
npx skills add https://github.com/juanre/pgdbm --skill choosing-pattern
Please help me install this Agent Skill. Skill: choosing-pattern Source: https://github.com/juanre/pgdbm/tree/main/skills/choosing-pattern Command: npx skills add https://github.com/juanre/pgdbm --skill choosing-pattern
This Skill helps you quickly determine the most suitable pgdbm deployment pattern (Standalone, Dual-Mode Library, or Shared Pool) based on your project context, ensuring correct architecture decisions from the start.
Ask the skill to evaluate your deployment context and return the recommended pgdbm pattern along with a brief rationale and the key migration implications.
High-intent search queries and answers about installing and using this skill.
Deployment pattern selection depends on your architecture topology, service boundaries, and migration needs. The choosing-pattern Skill evaluates whether you need Standalone, Dual-Mode Library, or Shared Pool based on your specific project context, ensuring migrations run correctly per pattern and schemas stay isolated.
Standalone runs independently per service with isolated migrations. Dual-Mode Library publishes reusable code for multi-service architectures with per-service migration handling. Shared Pool centralizes connections across services. Pattern choice depends on deployment topology, reuse requirements, and whether schemas need isolation.
Yes, pgdbm patterns scale from single-service apps to multi-service monoliths and distributed systems. The Skill evaluates your deployment topology and service boundaries to recommend Dual-Mode Library or Shared Pool patterns that maintain proper migration isolation and connection management across services.
Each pattern enforces different migration handling: Standalone runs migrations per service with full isolation, Dual-Mode Library handles migrations per service when the library is consumed, and Shared Pool manages centralized migrations with schema constraints. The Skill ensures your pattern matches your isolation requirements.
Publishing to PyPI as Dual-Mode Library suits multi-service projects needing reusable code with per-service migrations. Shared Pool works better for tightly coupled architectures requiring centralized connection management. The Skill recommends based on your reuse needs and deployment topology.
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