
A solid reference guide when you're making architectural decisions and need quick lookup tables for common tradeoffs. The decision matrix alone is worth having around: sync vs async, monolith vs microservices, SQL vs NoSQL, each with actual criteria instead of hand waving. Covers the usual suspects like API design patterns (REST, GraphQL, gRPC), caching strategies, message queues, and cloud native patterns. The content is structured in Chinese but the technical concepts are universal. Think of it as a cheat sheet for those moments when you're whiteboarding a system and need to justify why you're picking Kafka over RabbitMQ or when to actually use event sourcing. Not a deep dive on any topic, but a useful decision framework.
$ npx -y skills add telagod/code-abyss --skill designing-architectures --agent claude-codeInstalls into .claude/skills of the current project.
判断先于执行:决定「是否做 / 选什么 / 如何取舍」(栈、方案、架构、权衡)前,先读领域判断内核
skills/_kernel/backend/SKILL.md——它管 judgment,本秘典管 execution;冲突时以内核判断为准。
| 意图 | 秘典 | 核心 |
|---|---|---|
| API 设计 | api-design | RESTful、GraphQL、gRPC、OpenAPI |
| 安全架构 | security-arch | 零信任、IAM、威胁建模、合规 |
| 云原生 | cloud-native | 容器、K8s、Serverless、Service Mesh |
| 消息队列 | message-queue | Kafka、RabbitMQ、事件驱动、CQRS |
| 缓存 | caching | Redis、CDN、一致性、穿透/雪崩 |
| 决策点 | 选项 A | 选项 B | 判据 |
|---|---|---|---|
| 同步 vs 异步 | REST/gRPC 同步调用 | 消息队列异步 | 延迟敏感→同步;解耦/削峰→异步 |
| 单体 vs 微服务 | 单体(模块化) | 微服务 | 团队<5→单体;独立部署需求→微服务 |
| SQL vs NoSQL | RDBMS | MongoDB/DynamoDB | 强一致/关联→SQL;灵活 schema/高吞吐→NoSQL |
| 缓存策略 | Cache-Aside | Write-Through | 读多写少→Aside;写后即读→Through |
| API 风格 | REST | GraphQL | 资源型 CRUD→REST;复杂聚合/前端驱动→GraphQL |
| 事件架构 | 事件通知 | 事件溯源(ES) | 简单解耦→通知;审计/回溯→ES+CQRS |
SOLID: S单一职责 O开闭 L里氏替换 I接口隔离 D依赖倒置
分布式: CAP定理 | BASE最终一致 | 幂等设计
安全: 纵深防御 | 最小权限 | 零信任
扩展: 水平优先 | 无状态服务 | 数据分片
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