Implement actions, cooldowns, DoAfter flows, interruption, cancellation, and authoritative completion safely.
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ArcaneSS14/arcane-new112026年10月22日 更新
免费在 GitHub 公开
collections-and-datasets
Maintain weighted collections, datasets, groups, selectors, and random content tables.
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查看安装方法包含的文件（2）
- SKILL.md1.2 KB
- agents/openai.yaml242 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Collections are data-driven selection APIs. Preserve their statistical and compatibility behavior.
Workflow
- Find the prototype type and every consumer.
- Determine whether entries are weighted, unique, ordered, nested, or filtered.
- Verify all referenced prototype IDs or locale keys.
- Keep empty and single-entry behavior defined.
- Review duplicate entries and unintended weight changes.
- Add deterministic tests where selection logic is custom.
Randomness
Use the owning server or shared random service according to authority and prediction requirements. Do not introduce client-selected outcomes for protected gameplay. Predicted random choices require a deterministic source or authoritative correction.
Localization
Datasets containing player-visible strings should resolve through FTL. Do not embed raw display text in code when a dataset prototype is appropriate.
Verification
Check normalization assumptions, fallback behavior, nested collection recursion, invalid references, and distribution-sensitive balance changes.
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