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Software Backend

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vasilyu1983·vlatest·backend·MIT

Automates server-side logic, API development, database interactions, and deployment for scalable backend systems.

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This skill no longer installs under the name software-backend. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.

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What we know about this skill

Publisher

vasilyu1983

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Live repository

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scanned

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Not scanned. none of the 98 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as vasilyu1983/ai-agents-public.
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About this skill

What it does

This skill enables AI agents to design, implement, and review production-grade backend services. It automates server-side logic, API development (REST, GraphQL, tRPC), database interactions (Postgres with pooling), authentication, caching, observability using OpenTelemetry, error handling, testing, and deployment. The skill emphasizes type-safe boundaries, idempotency, RFC 9457 errors, structured logs, timeouts, and rate limiting for scalable backend systems.

When to use it

  • Developing REST, GraphQL, or tRPC APIs.
  • Modeling data schemas and managing database migrations.
  • Implementing authentication and authorization using OIDC/OAuth, sessions, or JWTs.
  • Adding features like validation, error handling, rate limiting, caching, and background jobs to backend services.
  • Preparing a backend service for production deployment, including observability and runbooks.

Key capabilities

  • API development with Fastify, Express, NestJS, Hono, or Apollo Server.
  • Database interaction using PostgreSQL with pooling and migrations.
  • Authentication implementation utilizing OIDC/OAuth, sessions, and JWTs.
  • Validation using Zod, Pydantic, or similar libraries at the API boundary.
  • Caching with Redis (or managed services).
  • Background job processing with BullMQ or platform queues.
  • Observability through structured logs and OpenTelemetry integration.
  • Scaffolding complete working implementations for domain logic like fraud rules, audit logging, and webhook handlers.

Example prompts

  • "Create a REST API endpoint to handle user registration using Fastify."
  • "Generate a GraphQL schema for managing product inventory with Prisma as the ORM."
  • "Implement authentication with JWTs and httpOnly cookies for a tRPC API."

Tips & gotchas

  • The skill defaults towards specific technologies (e.g., PostgreSQL, Redis, Fastify). Consider these choices based on your team's expertise or project constraints.
  • Validation should be implemented at the API boundary to ensure type safety and prevent errors deep within the application logic.
  • This skill is not intended for frontend-only concerns, infrastructure provisioning, or SQL query optimization; use specialized skills for those tasks instead.