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Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

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/** * Voice Analyzer * * Analyzes content voice characteristics, detects voice type, * and scores diversity between variations. */ import { Voice, Perspective, Tone } from './content-diversifier.js'; export interface VoiceProfile { primaryVoice: Voice | 'mixed'; confidence: number; characteristics: { academic: number; technical: number; executive: number; casual: number; }; markers: VoiceMarker[]; perspective: Perspective; tone: Tone; metadata: { wordCount: number; sentenceCount: number; averageSentenceLength: number; }; } export interface VoiceMarker { type: Voice; text: string; position: number; strength: 'strong' | 'moderate' | 'weak'; } export interface ComparisonResult { similarity: number; differences: Difference[]; voiceShift: { from: Voice | 'mixed'; to: Voice | 'mixed'; magnitude: number; }; structuralChanges: string[]; } export interface Difference { type: 'addition' | 'removal' | 'modification'; description: string; impact: 'high' | 'medium' | 'low'; } /** * Voice Analyzer for content characteristics */ export declare class VoiceAnalyzer { private readonly voicePatterns; constructor(); /** * Analyze voice characteristics of content */ analyzeVoice(content: string): VoiceProfile; /** * Detect primary voice of content */ detectVoice(content: string): Voice | 'mixed'; /** * Score diversity between multiple variations */ scoreDiversity(variations: string[]): number; /** * Compare two variations and identify differences */ compareVariations(original: string, variation: string): ComparisonResult; /** * Detect perspective used in content */ detectPerspective(content: string): Perspective; /** * Detect tone of content */ detectTone(content: string): Tone; /** * Analyze voice consistency across content sections */ analyzeConsistency(content: string, sectionSize?: number): { overallConsistency: number; sectionProfiles: VoiceProfile[]; inconsistencies: string[]; }; private initializeVoicePatterns; private scoreVoices; private detectMarkers; private calculateSimilarity; private levenshteinDistance; private identifyDifferences; private detectStructuralChanges; private countWords; private countSentences; private splitIntoSections; private findMostCommon; } //# sourceMappingURL=voice-analyzer.d.ts.map