Implement actions, cooldowns, DoAfter flows, interruption, cancellation, and authoritative completion safely.
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ArcaneSS14/arcane-new52026年10月19日 更新
免费在 GitHub 公开
serialization-and-datafields
Design prototype DataFields, generated component state, custom serializers, and compatibility-safe data contracts.
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查看安装方法包含的文件（4）
- SKILL.md1.3 KB
- agents/openai.yaml276 B
- references/datafield-patterns.md458 B
- references/network-serialization.md483 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Serialized data is a compatibility surface shared by prototypes, maps, network state, configuration, or saves.
Prototype data
Use [DataField] only for values content authors should configure. Choose defaults that produce a valid component before prototype application. Prefer typed prototype IDs, time spans, flags, and structured data over ad hoc strings.
Do not expose runtime caches, service references, or derived state as prototype fields. Validate required fields at prototype load or component startup using existing project patterns.
Network state
Use the current generated state attributes for fields required by clients. Keep hidden values server-only. After authoritative mutation, dirty the component or generated field.
Compatibility
Renaming a field can break maps and prototypes. Removing a field can break older content. Search YAML, maps, and downstream modules before changing names or types. Add migration or compatibility handling when the data persists.
Custom serialization
Write a custom serializer only when standard serializers and structured data cannot express the format. Include round-trip and invalid-input tests.
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