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backend-api-architecture

Use when working on backend service architecture, API boundaries, module decomposition, service contracts, and data flow design. Focus on clear ownership, stable interfaces, failure isolation, and maintainability.

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Datos de origen

Repositorio
Mr-Q526/TeamCC-Platform
Última actividad en el origen
15 de abril de 2026 a las 03:16
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
schemaVersion
2026-04-11T00:00:00.000Z
skillId
backend/backend-api-architecture
name
backend-api-architecture
displayName
Backend API Architecture
description
Use when working on backend service architecture, API boundaries, module decomposition, service contracts, and data flow design. Focus on clear ownership, stable interfaces, failure isolation, and maintainability.
aliases
["backend-api-architecture","Backend API Architecture","backendapiarchitecture","服务端","server side","服务接口"]
version
0.1.0
sourceHash
sha256:5f2c5e93c46886529c2661666e0e57abf8c43a59ee2c82638ad8a1dd5b3ca6d9
domain
backend
departmentTags
["backend-platform"]
sceneTags
["architecture"]
# Backend API Architecture Use this skill when the task involves backend service architecture, API boundaries, module decomposition, service contracts, and data flow design. Goal: produce reliable engineering guidance and implementation steps focused on clear ownership, stable interfaces, failure isolation, and maintainability. ## Working model 1. Identify the affected system, data, users, and failure modes. 2. Define invariants, inputs, outputs, ownership, and rollback needs. 3. Prefer small, auditable changes with explicit validation. 4. Call out security, performance, concurrency, and data-loss risks when relevant. 5. Finish with concrete verification steps and residual risks. ## Rules - Ground recommendations in the current codebase or runtime evidence. - Prefer explicit contracts, typed boundaries, and defensive validation. - Do not hide operational concerns behind generic best practices. - Include negative cases, edge cases, and failure behavior. - For review tasks, list findings first with file and line references when possible. - For test or performance tasks, define the workload, success criteria, and measurement method. ## Checklist - Are assumptions and ownership boundaries explicit? - Are risky changes reversible or safely deployable? - Are observability and diagnostics sufficient for production issues? - Are tests or validation steps targeted to the actual risk? - Are security and data-integrity concerns addressed?
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