meta-prompt-engineering

Provides structured templates and workflows for systematically organizing, preprocessing, analyzing, and visualizing data science and machine learning project code scaffolds.

Crafts professional career documents like resumes, CVs, and cover letters by applying strategic document design principles and tailoring content to specific job applications.

Analyzes and models the economic performance of individual business units or product units by breaking down revenue, costs,, structure, and profmargins, and guide strategic financial decision-making.

Identifies and analyzes root causes of complex problems by systematically tracing causal relationships and determining the fundamental source of an issue or phenomenon.

Maps complex arguments by identifying core claims, steelmanning perspectives, and revealing nuanced dialectical relationships between competing viewpoints.

Analyzes market dynamics and betting scenarios by systematically evaluating probabilities, risk factors, and potential outcomes to inform strategic decision-making.

Helps improve forecasting accuracy by systematically comparing a current project or scenario to similar historical reference classes to reduce bias and estimate more realistic outcomes.

Guides educators through structured, inquiry-based teaching methods by providing progressive questioning techniques that help students discover knowledge through critical thinking and self-reflection.

Systematically guides users through a structured brainstorming process that first expands ideas broadly, then strategically narrows and synthesizes the most promising concepts.

Generates creative solutions by systematically applying strategic constraints to stimulate innovative thinking and problem-solving across different domains.