Skill UI

This skill automates the complex and tedious process of porting academic papers written in LaTeX from one publisher's journal template (e.g., Springer) to another (e.g., MDPI, IEEE). It executes a structured multi-stage workflow, including content extraction, structural mapping, systematic fixing of common LaTeX issues (like float placement and math environments), and final compilation to ensure the output adheres to the target journal's specifications.

A specialized tool for finding peer-reviewed academic papers from major venues like IEEE, ACM, and Springer. Unlike preprint services (e.g., arXiv), this skill provides published literature with citation counts, detailed venue metadata, and a TLDR summary, ensuring access to verified research findings.

This comprehensive guide outlines the critical steps for authors preparing accepted papers for camera-ready publication in the Springer LNCS open-access format. It details the process of de-anonymizing the manuscript, completing essential Springer metadata (ORCID, author order), integrating reviewer feedback, and making all research artifacts permanent using DOIs. Following this checklist is crucial for successful publication.

A comprehensive guide for authors preparing their accepted ECCV papers for multiple publication venues, including Springer LNCS, ECVA open-access portals, and arXiv. It details critical steps such as managing page budgets, ensuring metadata accuracy, fulfilling rebuttal promises, and adhering to strict publication deadlines.

This guide provides a comprehensive pre-submission preflight checklist for manuscripts targeting the Journal of International Business Studies (JIBS). It ensures authors meet all structural, formatting, and ethical requirements, including double-blind anonymization, adhering to the JIBS Style Guide, managing word counts, and complying with Data Accessibility Statement (DART) policies before submitting to the Springer Nature portal.

A comprehensive guide for assembling a fully transparent and reproducible research package required for academic submissions (e.g., JRU/Springer). It structures the necessary components—including full experimental instructions, source code (z-Tree/Qualtrics), estimation scripts, and de-identified data—to allow any external party to replicate the study's findings end-to-end. Focuses on both procedural reproducibility and structural econometrics re-runnability.

This comprehensive guide details the mandatory production steps required after a research paper is accepted for publication in Springer LNCS. Key tasks include de-anonymizing the manuscript (restoring true names, affiliations, and funding details), applying the specific llncs.cls format, finalizing metadata with ORCIDs, integrating reviewer feedback, permanently linking artifacts using DOIs, and completing the CC-BY open-access licensing forms.

A comprehensive pre-submission checklist for authors preparing papers for TACAS/ETAPS. It guides users through selecting the correct paper category (research, tool, case-study), adhering to specific Springer LNCS page limits, managing double-blind vs. single-blind review rules, and correctly staging mandatory tool artifacts to ensure acceptance readiness.