Skill UI

Transforms messy invoices, receipts, and bank docs into structured folders by reading files, extracting vendors, dates, amounts, and descriptions, renaming them consistently, and sorting copies ready for tax prep or accountant handoff.

Automates guidance for sorting parameter handlers in API development, covering REST, GraphQL, OpenAPI, authentication, and design patterns, with step-by-step best practices and production-ready validation.

End-to-end Neuropixels recording analysis covering SpikeGLX/OpenEphys/NWB loading, preprocessing, motion correction, Kilosort4 sorting, quality metrics, Allen/IBL curation, and AI-assisted visualization for extracellular electrophysiology.

A comprehensive guide and workflow for identifying behavioral risks when migrating applications from Oracle to PostgreSQL. It cross-references code against known differences in complex areas such as empty strings, refcursors, type coercion, sorting, and concurrent transaction handling. Essential for both pre-migration architectural planning and post-migration validation testing.

A comprehensive end-to-end toolkit for analyzing high-density Neuropixels extracellular recordings. It guides the user through the complete electrophysiology workflow, including data loading (SpikeGLX, NWB), robust preprocessing, motion/drift correction, advanced spike sorting (Kilosort4, etc.), quality metric calculation, and AI-assisted unit curation. Ideal for generating publication-ready results from large neural datasets.

The official SDK for interacting with the Webiny Headless CMS and File Manager from external applications (Next.js, Vue, Node.js). It provides a robust TypeScript interface for performing CRUD operations (list, get, create, update, publish), advanced filtering, sorting, and ensuring type safety across complex content models. Use this when building frontends or backends that need to consume Webiny content data.

A comprehensive strategic guide for authors responding to peer reviews at top-tier academic conferences. It teaches how to interpret reviews as a 'bin-sorting' problem, structure persuasive rebuttals, address specific technical objections (measurement, design), and convert vague revision conditions into a concrete, actionable resubmission contract and plan.

A comprehensive guide for establishing robust causal links in environmental economics. It covers advanced econometric techniques for policy evaluation, including staggered Difference-in-Differences (DiD), Instrumental Variables (IV), and Regression Discontinuity Designs (RDD). It specifically addresses challenges in non-market valuation, such as spatial sorting, hypothetical bias, and separating weather shocks from long-term climate trends, ensuring the recovered parameter is welfare-relevant.

This guide equips researchers with advanced strategies to anticipate and neutralize the highly specialized objections raised by environmental and resource economists. It covers core methodological pitfalls such as spatial confounding, hypothetical bias, leakage effects, sorting issues, and welfare overreach. By structuring the paper preemptively, authors can significantly increase robustness and dramatically improve the likelihood of successful publication.

A comprehensive methodological guide for conducting rigorous quantitative research in finance, covering asset pricing, corporate finance, and econometrics. This skill defines the necessary standards for factor construction, portfolio sorting, advanced estimators (Fama-MacBeth, GMM), robust standard error clustering, and multiple-testing discipline. It ensures research designs are academically sound, reproducible, and suitable for top-tier financial journals.

A rigorous guide for advanced spatial econometrics, designed to stress-test causal claims in urban and spatial economics papers. It provides a framework to defend against the three critical spatial confounds: selection/sorting, spatial spillovers (SUTVA failure), and spatial autocorrelation. Essential for publishing high-impact work in journals like JUE.

A comprehensive guide for structuring a scientific rebuttal letter after receiving major revisions (R&R) or rejection from a top-tier academic journal. It teaches authors how to triage ambiguous referee reports, address binding spatial econometric concerns (like sorting or SUTVA), and craft a professional, evidence-based response that maximizes the chances of publication acceptance.