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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TypeScript
/**
* 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;
}
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