Skill UI

Provides a concise quantitative analysis experience for financial or research scenarios by structuring numerical data insights and interpretations.

Customer research expert that synthesizes qualitative and quantitative signal. Analyzes transcripts, surveys, tickets, and online reviews to reveal pains, triggers, jobs-to-be-done, and customer language. Mines public sources such as Reddit and G2, and designs primary interviews and surveys to discover customer sentiment and market fit.

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

A powerful tool designed for systematic literature reviews and meta-analyses. It searches scientific papers and retrieves highly structured experimental data directly from the full text, going beyond mere abstracts. It extracts over 25 fields, including detailed methods, quantitative results, sample sizes, quality scores, and conclusions, enabling comprehensive evidence synthesis for academic research.

This skill guides the architectural design of an Itô Data Atlas agent for advanced quantitative research. It facilitates market discovery, constructs candidate prediction-market baskets, drafts necessary parameter changes, and integrates human-in-the-loop review. It is strictly for workflow and architectural planning, and does not execute live trading orders.

This skill generates a structured, non-advisory worksheet for planning trade ideas, basket adjustments, or comparing prediction markets. It helps users methodically review venues, underliers, constraints, and manual execution steps without placing any trades or providing financial advice. Ideal for the research phase of quantitative finance workflows.

A comprehensive tool for training and evaluating advanced neural network models (including LSTM, Transformer, and N-BEATS) on time-series market data. It facilitates the prediction of financial trends, generating results with confidence intervals, and comparing performance across multiple architectures. Ideal for quantitative trading research and financial forecasting.

A comprehensive guide for strengthening the methodological design of advanced geographical manuscripts. It covers various paradigms including spatial/quantitative GIScience, remote sensing, qualitative human geography, and mixed methods. Key advice areas include rigorously addressing spatial dependence (MAUP), validating measurements, justifying case selection, and ensuring holistic integration of diverse data sources.

This skill provides a rigorous framework for assessing whether a scholarly manuscript meets the exceptionally high theoretical and conceptual standards of Administrative Science Quarterly (ASQ). It guides authors on identifying the core theoretical contribution, evaluating the required research craft (qualitative or quantitative), and restructuring the paper to align with the sociology of organizations discourse, moving beyond mere empirical findings.

A comprehensive guide for formatting research exhibits, including Impulse Response Functions (IRFs), fan charts, and econometric tables, specifically for submissions to the American Economic Journal: Macroeconomics (AEJ: Macro). This ensures all figures are self-contained, meet rigorous standards for clarity, and adhere to the latest macro conventions, allowing reviewers to quickly assess the quantitative evidence.

A comprehensive guide to assessing the fit of a macroeconomics research paper for top-tier journals, particularly the American Economic Journal: Macroeconomics (AEJ: Macro). It helps researchers determine if their work possesses the required broad interest, quantitative discipline, and policy relevance to succeed at AEJ: Macro, versus more specialized venues like AER, JME, or RED. This framework guides strategic academic writing.

This skill acts as a comprehensive workflow router for manuscripts targeting the American Economic Journal: Macroeconomics (AEJ: Macro). It guides the researcher through the entire publication lifecycle—from initial topic selection and literature positioning, through rigorous quantitative modeling (DSGE, SVAR), empirical identification, writing, to final submission and rebuttal strategy. It ensures the final paper meets the high standards of modern macroeconomics research.