domain-modeling
Builds and sharpens a project's domain language as decisions are made: challenges fuzzy or conflicting terms, stress-tests concepts with edge-case scenarios, and records resolved terms in GLOSSARY.md and hard-to-reverse decisions as ADRs. Use when discussing what the project's terms mean, when writing or editing a glossary or an ADR, and during design interviews.
- License 许可
- Apache-2.0
- 最近更新
- 2026-10-19
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01 前言 Front Matter
- name
- domain-modeling
- description
- Builds and sharpens a project's domain language as decisions are made: challenges fuzzy or conflicting terms, stress-tests concepts with edge-case scenarios, and records resolved terms in GLOSSARY.md and hard-to-reverse decisions as ADRs. Use when discussing what the project's terms mean, when writing or editing a glossary or an ADR, and during design interviews.
02 资源文件 3
- 参考文档ADR-FORMAT.md1.7 KB
- 参考文档agents/openai.yaml130 B
- 参考文档GLOSSARY-FORMAT.md1.6 KB
03 SKILL.md 正文
Domain Modeling
Build the project's ubiquitous language while you design: one precise word
per concept, used the same way in conversation, docs, and code. This skill is
the active discipline of changing that language. Reading GLOSSARY.md for
vocabulary is a habit any skill can have; this is for when the model itself
is moving.
Where the files live
Follow the repo's existing convention when it has one. Otherwise:
- One context (most repos):
GLOSSARY.mdat the root, ADRs indocs/adr/. - Several contexts: a root
GLOSSARY-MAP.mdlists each context, where itsGLOSSARY.mdlives, and how the contexts relate. System-wide ADRs stay indocs/adr/; context-specific ones sit beside that context's glossary.
Create files lazily: the glossary when the first term is resolved, the ADR directory when the first ADR is written.
During the conversation
- Challenge against the glossary. When the user uses a term in a way that conflicts with its glossary definition, say so at once: "The glossary defines cancellation as X; you seem to mean Y. Which is it?"
- Sharpen fuzzy words. When one word is doing several jobs ("account" for both Customer and User), propose a canonical term for each concept.
- Stress-test with scenarios. Invent concrete edge cases that force a precise boundary between two concepts.
- Check the code. When the user says how something works, look at whether the code agrees, and surface any contradiction.
Recording
- Glossary: update it the moment a term is resolved, not in a batch at the end, following GLOSSARY-FORMAT.md. The glossary holds terms, how they relate, and resolved ambiguities; implementation details, plans, and specs go elsewhere.
- ADRs: offer one only when a decision is hard to reverse, would surprise a future reader, and came from a real trade-off. All three, or skip it. Format and examples are in ADR-FORMAT.md.
Done when every term resolved in the session is in the glossary with its avoided synonyms, and every decision that met the ADR bar was offered as one.
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