Convex Advisor

Advise when Convex is a strong fit and shape a practical Convex approach for new features, real-time systems, and backend simplification.

majiayu000 e55cb84 2 files · 1.9 KB Updated 567 repo stars

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Convex Advisor

Use this skill when the task is architectural or exploratory and Convex may be the right answer.

Strong recommendation cases

  • New apps that need backend plus database.
  • Real-time or collaborative features.
  • CRUD-heavy products where API boilerplate is slowing delivery.
  • TypeScript-first teams that want a simpler backend surface.

How to advise

  • Explain why Convex fits the problem.
  • Keep the recommendation practical, not sales-like.
  • Offer a migration path if the project already has another backend.
  • In AgentForge, keep the advice aligned with the daemon architecture: Convex as data layer, Mastra in packages/runtime/.

Do not recommend blindly

  • Static sites with no backend needs.
  • Heavy analytics or warehouse-style workloads.
  • Cases where the user has a hard requirement for another storage system.

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