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xiaolai
by xiaolai

extract_themes

Analyze manuscript content to identify and cluster main topics, helping writers organize and understand key themes in their writing projects.

Instructions

Cluster content into main themes/topics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathNoPath to manuscript directory (defaults to current directory)
scopeNoFile scope pattern
num_themesNoNumber of themes to extract

Implementation Reference

  • Defines the input schema and description for the extract_themes MCP tool.
    {
      name: "extract_themes",
      description: "Cluster content into main themes/topics",
      inputSchema: {
        type: "object",
        properties: {
          project_path: { type: "string", description: "Path to manuscript directory (defaults to current directory)" },
          scope: { type: "string", description: "File scope pattern" },
          num_themes: { type: "number", description: "Number of themes to extract", default: 5 },
        },
      },
    },
  • The handler function that processes the tool call, parses arguments (scope, num_themes), and delegates to WritersAid.extractThemes.
    private async extractThemes(args: Record<string, unknown>) {
      const scope = args.scope as string | undefined;
      const numThemes = (args.num_themes as number) || 5;
    
      return this.writersAid.extractThemes({ scope, numThemes });
    }
  • Registers the extract_themes tool in the main handleTool switch statement, dispatching to the specific handler method.
    case "extract_themes":
      return this.extractThemes(args);
  • Core implementation of theme extraction using simple word frequency counting from manuscript files.
    async extractThemes(options?: ThemeOptions) {
      const { numThemes = 5 } = options || {};
    
      const files = await this.storage.getAllFiles();
      const wordFreq = new Map<string, number>();
    
      // Simple theme extraction based on word frequency
      for (const file of files) {
        const words = file.content.toLowerCase().match(/\b\w+\b/g) || [];
        for (const word of words) {
          if (word.length > 4) {
            // Skip short words
            wordFreq.set(word, (wordFreq.get(word) || 0) + 1);
          }
        }
      }
    
      // Get top themes
      const themes = Array.from(wordFreq.entries())
        .sort((a, b) => b[1] - a[1])
        .slice(0, numThemes)
        .map(([word, count]) => ({ theme: word, count }));
    
      return themes;
    }
  • Intermediate delegation layer in WritersAid class from tool handler to ThemeExtractor.
    async extractThemes(options?: { scope?: string; numThemes?: number }) {
      return this.themeExtractor.extractThemes(options);
    }

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