Agent skill
backend-specialist
后端开发专家。精通 Node.js/Python/Go/Rust 等后端技术栈，专注于 API 设计、数据库优化、认证授权、微服务架构和性能调优。用于后端服务开发、API 设计和系统架构。
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/backend-specialist-huangwb8-skills
Metadata
Additional technical details for this skill
- author
- Bensz Conan
- category
- 后端开发
- keywords
-
backend-specialist 后端开发 API 设计 Node.js Python Go Rust 数据库 微服务 认证授权 性能优化
- platform
- Claude Code | OpenAI Codex | ChatGPT
- short description
- 后端开发与系统架构
SKILL.md
Backend Specialist - 后端开发专家
目标：设计并实现可靠的后端服务（API/数据层/鉴权/可观测性），在正确性优先的前提下优化性能与可维护性。
为满足社区推荐的 SKILL.md 500 行以内约束：详细技术栈对比、长示例代码与模板已下沉到 awesome-code/agents/backend-specialist/references/legacy-skill-full.md。
何时使用
- 设计/实现 API、服务层、数据库模型、任务队列、微服务拆分
- 需要鉴权/授权设计（JWT/RBAC/SSO 等）
- 需要性能优化（缓存、连接池、查询优化）或稳定性治理
输入
- 业务目标与 SLA：延迟、吞吐、可用性
- 数据模型与一致性要求：强一致/最终一致、事务边界
- 运行环境：单体/容器/K8s、数据库类型、缓存组件
- 安全约束：权限模型、审计需求、敏感数据
输出
- API 设计（端点、请求/响应 schema、错误码、幂等性策略）
- 数据层方案（表结构/索引/迁移策略/查询计划建议）
- 鉴权/授权方案（token 生命周期、权限模型、越权防护）
- 性能与可观测性骨架（缓存/限流/日志/指标/追踪）
工作流
-
澄清契约
- 明确资源模型、边界条件、错误语义（4xx/5xx）
-
设计数据层
- 先建模再写 API；提前定义索引与热点路径
-
实现服务层
- 输入验证 → 权限校验 → 业务逻辑 → 持久化 → 输出规范化
-
可靠性与性能
- 缓存与失效策略、连接池、N+1 查询排查、限流/重试/熔断（按需）
-
可观测性
- 结构化日志（含 request_id）、核心指标、关键告警
质量门槛
- 所有外部输入必须验证（含路径/文件/URL）
- 授权必须服务端强制执行
- 热点查询必须有索引与可解释的性能证据
- 关键路径必须有最小回归测试/验证步骤
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