Skill UI

This guide provides a framework for assessing whether a research topic is suitable for interdisciplinary journals focusing on digital media and society (like NM&S). It details a four-part fit test, ensuring the research has social stakes, a portable concept, interdisciplinary reach, and enduring relevance beyond the news cycle. It helps researchers reframe narrow case studies into broadly applicable scholarly arguments.

This guide assists in the rigorous development of theoretical frameworks for Organization Science manuscripts. It details the two legitimate modes—deductive (a priori) or inductive (grounded)—and emphasizes the critical need to identify the core organizational mechanism, specify the levels of analysis (micro, meso, macro), and articulate cross-level bridging logic and boundary conditions. It guides users beyond simple literature reviews to build genuine, testable theory.

Manage OpenViking agent skills via the ov skills CLI: install from local directories or Git sources, list, search, show, update, remove, and validate SKILL.md formats.

This guide details the meticulous process of converting an accepted PLDI conference paper into a formal PACMPL journal article. It covers crucial steps including de-anonymization (restoring author details, ORCIDs), adopting journal formatting standards, handling digital artifacts on Zenodo, managing open-access rights, and coordinating the three distinct deliverables: the article, the artifact, and the presentation talk.

A comprehensive pre-submission audit guide for authors targeting top-tier academic conferences. This skill helps ensure strict adherence to technical standards, including ACM formatting (acmsmall) and page limits. It is crucial for verifying double-blind anonymity by detecting identity leaks (e.g., GitHub names, metadata) and confirming compliance with policies like dual-submission rules, thereby preventing summary rejection.

A comprehensive guide to the rigorous academic peer review process, exemplified by top-tier Recommender Systems conferences (RecSys). It details the double-blind review mechanics, key evaluation criteria (novelty, validity, reproducibility), the critical rebuttal phase, and the requirements for final publication in ACM Digital Library. Essential for researchers and students aiming to improve academic submission quality.

This specialized tool analyzes Git diffs against a stated development intent to detect scope creep. It identifies overly broad pull requests, unrelated files, dependency additions, public API renames, or configuration changes. It guides users on whether changes should be kept, split into separate commits, or if the connection requires explicit justification, ensuring clean and focused code merges.

This guide details the critical steps and changes required to transform a reviewed SIGIR submission into the final Version of Record published via ACM Digital Library. It covers technical requirements, metadata standardization (CCS, keywords), conflict resolution, and adhering to publishing timelines and copyright protocols (e-rights, TAPS).

This guide details the critical post-acceptance process for SIGMOD papers, transitioning the work from a conference submission template to the final PACMMOD journal format. It covers complex technical porting, de-anonymization (restoring author names, funding, etc.), managing metadata submission (ORCID, rights forms), and publishing the associated digital artifact for reproducibility.

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.

A comprehensive resource for academics targeting the South China Journal of Economics. It provides deep insight into the journal's scope, preferred topics (e.g., Greater Bay Area, open economy, digital economy), rigorous submission standards (anonymous review, fee-free), and structural requirements. Use this guide to evaluate manuscript fit, optimize framing, and reduce the risk of desk rejection before official submission.

This guide clarifies the role of computation in theoretical computer science submissions, particularly for venues that prioritize theorems over empirical data. It distinguishes between legitimate forms of evidence—such as certified proof steps, constructive object discoveries, and illustrative examples—and inappropriate performance benchmarking. It helps researchers structure their work to align with theorem-based research, ensuring computational elements enhance the core theoretical contribution.