Implement Backend.AI service layers with CRUD actions and persistent repositories.
npx skills add https://github.com/lablup/backend.ai --skill service-guide
Please help me install this Agent Skill. Skill: service-guide Source: https://github.com/lablup/backend.ai/tree/main/.claude/skills/service-guide Command: npx skills add https://github.com/lablup/backend.ai --skill service-guide
This Skill provides a blueprint for building a consistent, testable Backend.AI service layer, standardizing CRUD-like operations, Actions, Processors, and repository interactions to reduce boilerplate and improve maintainability.
To begin, review existing domain services under services/ to align with the patterns, scaffold a new domain following the directory layout (types, actions, service, processors), implement repository-backed methods, write unit tests that mock repositories, and wire the service into the API layer.
High-intent search queries and answers about installing and using this skill.
To implement a Backend.AI service layer, you scaffold a new domain following the directory layout for types, actions, service, and processors, then implement repository-backed methods for standard operations like create, get, search, update, delete, and purge.
The single-repository-call pattern enforces that each service method makes exactly one repository call, ensuring immutable action objects and testable service implementations that integrate reliably with REST and GraphQL APIs.
Actions are immutable objects that define operations, ActionResults capture their outcomes, and Processors orchestrate these workflows by coordinating repository interactions to execute reliable domain service logic.
Write unit tests that mock repositories to verify service layer implementations in isolation, ensuring the standard CRUD-like actions and processor workflows function correctly without direct database dependencies.
Yes, Backend.AI service layers use clear patterns for service methods and repository calls designed specifically to simplify and align with REST and GraphQL API integration.
Structure a new Backend.AI domain service by reviewing existing services under the services/ directory, then scaffold the directory layout to include types, actions, service, and processors before wiring it into the API layer.
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