optimizer▌

Reduces token count in prompts and docs by 20–40% using 41 research-backed optimization rules. \n \n Applies rules across six categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension \n Three optimization modes: light (text cleanup only), medium (balanced restructuring, default), and deep (aggressive compression and rephrasing) \n Processes single files or entire directories of markdown files, with built-in quality checks for reference vali

Create optimized Nginx configurations for high-performance web serving and reverse proxying.

Implements the NOWAIT technique from the paper "Wait, We Don't Need to 'Wait'! Removing Thinking Tokens Improves Reasoning Efficiency" (Wang et al., 2025).

Transform vague prompts into precise, testable specifications using EARS methodology and domain theory grounding. \n \n Converts natural language requirements into five EARS patterns (ubiquitous, event-driven, state-driven, conditional, unwanted behavior) with explicit triggers, conditions, and measurable criteria \n Applies relevant domain frameworks (GTD, BJ Fogg, Gestalt, Zero Trust, etc.) to enhance requirements with established best practices \n Generates structured prompts using Role/Skill

Specialized in enhancing script performance, user experience, and visual presentation on TradingView.

Generate professional, optimized prompts for AI image generation tools with primary support for Google Gemini (Nano Banana), plus Midjourney, Stable Diffusion, DALL-E, Leonardo.ai, and others.

Build optimized, secure, and cache-efficient Docker images following production best practices.

Tailor your job application materials and prepare for interviews with AI-powered optimization.

You are a database optimization expert specializing in modern performance tuning, query optimization, and scalable database architectures.

Comprehensive SEO analysis and optimization for content creators and marketers.