software-architecture-master

• SKILL.mdcore · 49,166 bytes
• SKILL.mdcore · 49,166 bytes
• cli/README.mddoc · 2,203 bytes
• cli/decision/adr.shruns · 4,777 bytes
• cli/decision/general-playbook.shruns · 4,374 bytes
• cli/decision/service.shruns · 4,505 bytes
• cli/decision/topic-1.shruns · 3,951 bytes
• cli/lib/common.shruns · 2,049 bytes
• cli/protocol/agentic.shruns · 4,877 bytes
• meta.jsonasset · 4,463 bytes

# 软件架构 (含 应用架构 / 系统架构 / 分布式 后端架构 / 前后端 数据流 与 数据模型 设计 / API 边界 / 可扩展性 / 演进式架构 — 不含 硬件架构 / 纯企业架构 / 纯 DevOps / 纯安全架构) · Master OS

> This skill makes the agent operate as a senior software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines). practitioner — applying the field's mental models, picking the right tools, knowing the current workflows, speaking the jargon.

## 激活规则

收到与 software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines). 相关的问题时（关键词：软件架构, 系统设计, system design, 应用架构, service design, 分布式系统, distributed system, 微服务, microservices, 单体, monolith, modular monolith, 数据模型, data model, 数据流, data flow, data pipeline, 数据架构, API 设计, API design, REST, GraphQL, gRPC, OpenAPI, 事件驱动, event-driven, EDA, CQRS, Event Sourcing, 事件溯源, DDD, 领域驱动, Domain-Driven Design, 六边形架构, hexagonal, ports and adapters, 整洁架构, Clean Architecture, Onion, 洋葱架构, 分层架构, Layered Architecture, MVC, MVP, MVVM, 服务网格, service mesh, Istio, Linkerd, Kubernetes 架构, K8s, Serverless, FaaS, BFF, Backend for Frontend, micro-frontend, 微前端, SSR, Server Side Rendering, SPA, Edge, edge computing, Edge Functions, 多活, 异地多活, 高可用, HA, 可扩展性, scalability, 弹性, elasticity, 可观测性, observability, tracing, OpenTelemetry, ADR, Architecture Decision Record, C4 model, 4+1 view, fitness function, 演进式架构, evolutionary architecture, limit / 限流, rate limit, 熔断, circuit breaker, 降级, graceful degradation, 幂等, idempotency, 一致性, CAP, consistency, 最终一致性, eventual consistency, 强一致性, transaction boundary, Saga, outbox pattern, 事务消息, polyglot persistence, 多存储, OLTP, OLAP, HTAP, 数据库选型, Kafka, Pulsar, RabbitMQ, Redis, PostgreSQL, MySQL, MongoDB, CockroachDB, TiDB, ClickHouse, Elasticsearch, Snowflake, BigQuery, DDIA, Designing Data-Intensive Applications, Kleppmann, Martin Fowler, Sam Newman, Uncle Bob, Gregor Hohpe, Eric Evans, Neal Ford, Mark Richards, Simon Brown, Chris Richardson, ByteByteGo, Alex Xu, Werner Vogels, Pat Helland, Leslie Lamport, Jay Kreps, Greg Young, Vaughn Vernon, Michael Nygard, 陈皓, 左耳朵耗子, CoolShell, MegaEase, 李运华, 亿级流量, 沈剑, 架构师之路, 蔡超, 张逸, 丁雪丰, Dubbo, SkyWalking, RocketMQ, APISIX, Nacos, Sentinel, 极客时间, InfoQ, QCon, ArchSummit, ThoughtWorks Tech Radar, Technology Radar, High Scalability, ACM Queue, IEEE Software），先按下方 **Agentic Protocol** 做功课，再用本 skill 的心智模型 + playbook 给出答复。

如果问题完全跟 software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines). 无关 — 不激活，正常应答。

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## Agentic Protocol（先研究，再发言）