Skill UI

This guide helps researchers strategically position their database, data management, or analytics papers for the International Conference on Very Large Data Bases (VLDB). It provides deep insights into conference positioning, required evidence (scale, systems depth), optimal structure, and how to compare the work against top venue standards. Use it before submission to refine your narrative and meet the archival standards of a flagship database conference.

A comprehensive guide for positioning highly technical research in top-tier academic venues like ISCA. It instructs authors on deep literature surveying across multiple databases (ACM, IEEE, dblp, arXiv), structuring the 'related work' section using structural differentiation (mechanism delta), and adhering to double-blind review guidelines. Essential for advanced technical paper writing.

This guide helps authors structure the Related Work section for top-tier academic journals like the Journal of Software. It focuses on demonstrating incremental contribution (delta-first positioning), structuring the review across multiple software disciplines (e.g., SE, Systems, Databases), ensuring balanced citations (international vs. domestic), and building comprehensive classification frameworks for review papers.

This comprehensive guide assists researchers in determining the suitability of their manuscript for Nucleic Acids Research (NAR). It details the journal's scope, structural demands, and rigorous standards for submissions involving DNA, RNA, bioinformatics, databases, or web tools. Use this to assess the fit and required elements before official submission.

This skill provides robust functionality to resolve free-text scientific labels into standard ontology term IDs (CURIEs) and validate existing identifiers against authoritative databases. It is essential for metadata curation, ensuring that submitted biological data (e.g., tissue types, diseases, assays) uses current, correct, and non-obsolete identifiers, thereby maintaining high data quality for large-scale scientific datasets.

This plugin integrates the OpenViking context database, providing powerful long-term memory, session archiving, and semantic recall for OpenClaw agents. It enables agents to query, debug, and manage persistent knowledge bases, significantly enhancing conversational depth and complex tool usage.

This guide directs authors on how to structure the related work section for academic papers in database theory (e.g., for venues like PODS, ICDT). It emphasizes a 'delta-first' approach, requiring authors to compare their specific *results* (theorems, bounds, dichotomies) directly against the nearest prior *results*, rather than simply cataloging related citations. It also covers complex rules regarding self-citation, anonymity, and overlap declaration with concurrent or prior-version work.

A comprehensive guide for researchers to determine the optimal academic venue (e.g., PODS, SIGMOD, VLDB, ICDT) for their paper. The guide helps distinguish between contributions that are foundational theorems (theory) and those that are performance-measured systems artifacts, ensuring proper scope definition before submission.

A rigorous guide detailing the advanced writing standards required for top-tier database theoretical papers (e.g., ACM PODS). It emphasizes precision in defining models, stating theorems, matching upper and lower bounds, and structuring the narrative to ensure mathematical completeness and verifiability for peer review.

This guide details the rigorous methodology for conducting systematic literature reviews and meta-science pieces, particularly for integrative reviews in psychology (PoPS style). It instructs researchers on how to systematically gather evidence across multiple sub-areas by utilizing techniques like forward/backward snowballing, comprehensive database sweeps (e.g., PsycINFO), and developing detailed evidence matrices. The focus is on synthesizing findings and establishing replicable search protocols to ensure academic rigor and comprehensiveness, moving beyond simple summarization.

A comprehensive guide for designing and documenting systematic literature searches for meta-analyses or systematic reviews. It ensures reproducibility by covering multiple databases (e.g., PsycINFO, PubMed), controlled vocabulary, grey literature, and adhering strictly to PRISMA-S guidelines. It helps build a robust, traceable research pool.

This skill guides authors in assembling a comprehensive transparency package for academic submissions (especially meta-analyses). It ensures adherence to Open Science principles by detailing requirements for protocol preregistration (PROSPERO/OSF), depositing the coded database, codebook, and analysis scripts. It is essential for proving the full reproducibility of quantitative research findings.