creedants/pstack-t3

principle-model-the-domain

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

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/creedants/pstack-t3 --skill principle-model-the-domain

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

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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