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aiwg

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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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/** * Prompt Optimization Engine * * Analyzes and improves prompts to reduce AI patterns and increase authentic output quality. * Incorporates AIWG principles to transform vague prompts into specific, * constraint-rich instructions that produce human-like content. */ export interface OptimizationResult { originalPrompt: string; optimizedPrompt: string; improvements: Improvement[]; score: { before: number; after: number; delta: number; }; reasoning: string; } export interface Improvement { type: 'specificity' | 'constraints' | 'examples' | 'voice' | 'anti_pattern'; description: string; before: string; after: string; impact: 'high' | 'medium' | 'low'; } export interface PromptAnalysis { score: number; issues: AnalysisIssue[]; strengths: string[]; antiPatterns: AntiPattern[]; suggestions: string[]; } export interface AnalysisIssue { severity: 'critical' | 'warning' | 'info'; category: string; message: string; location?: string; } export interface AntiPattern { pattern: string; description: string; example: string; fix: string; locations: number[]; } export interface OptimizationContext { domain?: 'technical' | 'academic' | 'executive' | 'creative'; audience?: string; targetLength?: number; voice?: 'academic' | 'technical' | 'executive'; constraints?: string[]; } export interface ComparisonResult { differences: Difference[]; improvement: number; summary: string; } export interface Difference { type: 'added' | 'removed' | 'modified'; before?: string; after?: string; reason: string; } /** * Core Prompt Optimizer class */ export declare class PromptOptimizer { private bannedPhrases; constructor(); /** * Core optimization - analyzes and improves a prompt */ optimize(prompt: string, context?: OptimizationContext): Promise<OptimizationResult>; /** * Batch optimization - process multiple prompts */ optimizeBatch(prompts: string[]): Promise<Map<string, OptimizationResult>>; /** * Analyze prompt quality */ analyzePrompt(prompt: string): PromptAnalysis; /** * Detect anti-patterns in prompts */ detectAntiPatterns(prompt: string): AntiPattern[]; /** * Score prompt quality (0-100) */ scorePromptQuality(prompt: string): number; /** * Add specificity to vague prompts */ addSpecificity(prompt: string, context?: OptimizationContext): { prompt: string; improved: boolean; }; /** * Add examples to prompts */ addExamples(prompt: string, domain?: string): { prompt: string; improved: boolean; }; /** * Add constraints to avoid AI patterns */ addConstraints(prompt: string, rules: string[]): { prompt: string; improved: boolean; }; /** * Inject voice guidance for different contexts */ injectVoiceGuidance(prompt: string, voice: 'academic' | 'technical' | 'executive'): { prompt: string; improved: boolean; }; /** * Remove vague language */ removeVagueness(prompt: string): { prompt: string; improved: boolean; }; /** * Compare original and optimized prompts */ comparePrompts(original: string, optimized: string): ComparisonResult; /** * Load principles from AIWG */ loadPrinciplesFromGuide(_guidePath: string): void; private loadBannedPhrases; private needsSpecificity; private needsExamples; private needsConstraints; private isVague; private hasConstraints; private hasExamples; private hasAudience; private hasFormat; private hasVoiceGuidance; private hasMetrics; private hasNumericMetrics; private hasSpecificTechnologies; private hasBannedPhrases; private makeTopicSpecific; private generateConstraints; private generateExampleGuidance; private formatConstraints; private getVoiceGuidance; private fixAntiPattern; private generateReasoning; private generateComparisonSummary; } //# sourceMappingURL=prompt-optimizer.d.ts.map