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Read and update character relationship data in multi-character systems.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "M5 Petit Relations" yet — see the docs or source repo.
Please read the public relationship data between the characters "Lin Xia" and "Zhou Lan", and summarize their likes, dislikes, closeness, current feelings, and notes.
A summary of the public relationship data between the two characters, including key fields and current status.
Update character "Gu Yan"'s private relationship toward "Shen Mo" to: likes the other's reliability, dislikes the other's secrecy, current feeling is cautious but growing trust, closeness set to 72, and add the note "learned part of the other's past secret."
A confirmation that the private relationship data was saved, along with the updated fields.
Add important relationship details for "Irene" and "Kai": they previously worked together on the same investigation mission; keep the public relationship friendly; add a note saying "they prioritize helping each other during crises."
The updated relationship record highlighting the newly added important information and notes.
Writers or worldbuilding designers can use it to review likes, dislikes, feelings, and closeness between characters, helping avoid inconsistencies in multi-character content. It is useful for maintaining complex relationship networks over time.
When a character's outward behavior differs from their true internal attitude, the tool can store public and private relationship data separately. This is helpful for managing misdirection, secrecy, or plot twists.
After new events occur, users can promptly adjust feelings, important information, and notes between characters. This keeps relationships aligned with story progression.
Based on the description, it can read and update character relationship data including likes, dislikes, important info, feelings, closeness, and notes, with support for both private and public relationships.
Yes. The original description explicitly says it supports both private and public relations, so outward presentation and internal attitude can be managed separately.
The provided materials do not include installation, configuration, or dependency details; see the source repository.
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