Skill UI

A comprehensive guide for planning and stress-testing empirical analysis in financial intermediation, specifically for high-impact journals. It covers the construction of bank/loan-level panel datasets, defining variables (growth vs. levels), implementing advanced econometric specifications (e.g., fixed effects), and executing substantial robustness checks (placebo periods, alternative clustering). It also guides the planning of reproducible numerical illustrations for theoretical models.

A comprehensive guide for designing rigorous Monte Carlo simulations and empirical illustrations for methodological papers, particularly in econometrics. It details how to stress assumptions, report necessary metrics (size, power, bias), and structure the evidence to prove a method's theoretical validity and practical utility.

This guide details how to construct the critical real-data section of a sociological methods paper. It emphasizes that the illustration must demonstrate that the proposed method substantively changes a conclusion compared to the standard/incumbent approach, thereby proving the method's necessity and theoretical stake.

This guide outlines the methodology for crafting a comprehensive, point-by-point rebuttal to a journal's decision letter. It teaches authors how to transform abstract reviewer critiques into concrete, auditable deliverables, such as formal derivations, new simulation cells, or empirical illustrations. The focus is on providing undeniable evidence for every claim to maximize the chances of publication acceptance.

A comprehensive guide for authors submitting to Sociological Methods & Research (SMR). It routes authors through the rigorous, multi-stage process required for publication, covering methodological contribution, derivation, simulation studies, empirical illustration, and ensuring full software reproducibility. This tool helps authors structure their manuscript to meet high academic standards.

A comprehensive guide for authors submitting theoretical computer science papers to SODA. It clarifies the distinction between SODA (theory-led) and ALENEX (experiment-led), advising on when and how to incorporate numerical evidence. The protocol details best practices for honest numerics, including instance generation discipline, claim-class labeling (illustration, evidence, motivation), and proper submission routing to ensure academic rigor.

This skill generates hand-drawn 16:9 article illustrations featuring the Grav character IP. It creates sparse annotations and clear visual metaphors for blog posts and technical content. Each illustration uses a consistent whiteboard-sketch style with a floating character as the active participant. Ideal for turning abstract concepts into memorable visual explanations without PPT infographics.

This intelligent studio acts as a visual creative director, automatically routing image requests to the optimal specialized AI model. It handles hyper-realistic portrait generation (for influencers/professional photos) and advanced artistic creation, illustration, and photo manipulation (upscale, inpainting, background removal). Use it for professional content creation requiring specialized visual expertise.

Generate images with Google Gemini's image model straight from a Claude Code session. Create UI placeholders, icons, documentation illustrations, diagrams and concept visuals, saved locally as PNG files with a returned file path.