mariusflorescu/pstack-t3

principle-model-the-domain

Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.

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使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/mariusflorescu/pstack-t3 --skill principle-model-the-domain

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Model the Domain

Encode the real domain in a data structure instead of scattering it across conditionals. A structure that matches the domain makes invalid states unrepresentable and deletes branches. Choosing it at write time is cheap. Recovering it later reads as a refactor and gets deferred.

Reach for:

  • A state machine instead of scattered booleans, phases, or lifecycle checks.
  • A typed model instead of loose parameters or repeated shape assumptions.
  • A map, registry, lookup table, or discriminated union instead of branching spread across files.
  • A reducer or command/event model instead of ad hoc state mutations.
  • A module organized around one body of domain knowledge instead of a sequence such as load, validate, transform, and save. Execution order is not ownership.
  • A small module boundary that gathers repeated behavior, ownership, or invariants.
  • A queue, cache, index, graph, tree, or normalized collection where the access pattern calls for it.
  • Any other structure that fits. When none fits, work out what the code must never allow and how the data gets read, then find the structure that encodes exactly that.

Do not force an abstraction. Prefer boring code if the current shape is already clear, local, and unlikely to grow. Be skeptical of an abstraction that adds indirection without removing branches, duplicated rules, invalid states, or lifecycle risk.

The sign that you skipped this is a new feature that grows an existing if/else chain by one more branch, or a second boolean that must stay in sync with the first. Temporal decomposition is another sign. Phase-named modules repeat the same domain rules across steps.

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