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xby-dream-of-red-chamber-relationship

Memory Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-dream-of-red-chamber-relationship

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-dream-of-red-chamber-relationship in your DeepSeek Harness terminal to install this plugin, available at https://github.com/xby-skill/xby-dream-of-red-chamber-relationship .

About this plugin

Dream of the Red Chamber features over four hundred characters whose blood ties, marriages, master-servant bonds, and romantic entanglements form a web that plain prose simply cannot untangle. This plugin models those relationships as nodes and edges in a graph database, so you can ask structured questions such as how many relational layers separate Lin Daiyu from Jia Baoyu, or which distant relatives Xie Baochai is connected to, using a single read-only Cypher query instead of rereading the entire novel or cross-referencing dozens of critical essays.

Three capabilities do the heavy lifting. First, persistent API-key configuration set right in chat and surviving restarts, eliminating repetitive setup. Second, full schema introspection covering every node type, property field, and relationship kind, so you can quickly understand the graph structure. Third, read-only Cypher execution that condenses multi-hop relational reasoning into a single SQL-like statement, convenient and safe because it cannot mutate the data.

It is built for Red Studies researchers, literature students, creative writers, and anyone who wants to re-examine the novel character network through a data lens. The plugin follows the MCP protocol, is served via the Xiao Ben Yang platform, and is open-sourced under the MIT license for free reuse and extension.

Use Cases

  • Mapping complex blood and marriage ties in Dream of the Red Chamber
  • Querying multi-hop character relationship chains with Cypher
  • Providing structured character data for literary research or creative writing

Best For

  • Red Studies researchers and literature students
  • Creative writers and classical literature enthusiasts
  • Developers interested in structuring literary data