backend-architect_skill

This skill helps you design scalable RESTful APIs, define service boundaries, and optimize databases with practical, implementation-focused guidance.

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Bundled Files

2 months ago

Catalog Refreshed

4 months ago

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Readme & install

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Installation

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npx veilstrat add skill sidetoolco/org-charts --skill backend-architect

  • SKILL.md1.3 KB

Overview

This skill helps design scalable backend systems focused on RESTful APIs, microservice boundaries, and database schemas. I provide concrete API contracts, service diagrams, schema definitions, and pragmatic scaling/security recommendations. Use this proactively when creating new services or reviewing existing architectures for performance and reliability.

How this skill works

I analyze functional requirements and data flows, then define clear service boundaries and API contracts using a contract-first approach. I produce endpoint definitions with example requests/responses, database schemas with relationships and indexes, and ASCII or mermaid service diagrams. I also identify bottlenecks, propose caching and sharding strategies, and recommend technologies with concise rationale.

When to use it

  • Starting a new backend service or API design
  • Reviewing or refactoring an existing microservice architecture
  • Designing database schemas for scale and query performance
  • Planning horizontal scaling, caching, or sharding strategies
  • Preparing architecture for production reliability and security

Best practices

  • Define service responsibilities clearly to minimize coupling
  • Design APIs contract-first with versioning and consistent error models
  • Model data for queries: prioritize indexes and denormalize where read performance matters
  • Plan horizontal scaling and stateless services from day one
  • Use caching and rate limiting judiciously; measure before optimizing

Example use cases

  • Design a user and orders service with REST endpoints, auth flow, and inter-service calls
  • Create a database schema for a high-read catalog with indexing and optional denormalization
  • Review an existing microservice set for single points of failure and propose partitioning
  • Draft a caching layer (Redis) plan with TTLs and cache invalidation rules
  • Recommend tech stack choices (e.g., PostgreSQL, Kafka, Envoy) with trade-offs

FAQ

I provide concrete API definitions, example requests/responses, schema DDL snippets, and architecture diagrams ready to translate into code.

Do you handle database performance tuning?

Yes — I identify indexing, query, and sharding opportunities and suggest caching strategies to reduce load.

Can you recommend technologies for my use case?

Yes — I list targeted technology recommendations with brief rationale and trade-offs based on scale and operational constraints.

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