Skill UI

A guide to navigating the rigorous academic publication pipeline, detailing stages such as early rejection, rebuttal, one-shot revision, and shepherding. It helps authors understand reviewer focus areas (e.g., evaluation realism, contribution) and plan strategic responses to maximize acceptance chances in top-tier venues.

This comprehensive guide breaks down the complex SIGGRAPH/SIGGRAPH Asia technical paper review pipeline. It covers the single 6-point scoring scale, the multi-reviewer structure, the rebuttal process, committee decisions, and the dual-track (Journal vs. Conference) outcomes. Use this to understand where authors can exert influence and how to prepare submissions to meet the highest academic standards.

A comprehensive guide detailing the complex submission and evaluation pipeline for TACAS (Tools and Algorithms for Scientific Applications). It models key features such as category-specific blind review, the mandatory parallel artifact evaluation for tool papers, and the single-round conference decision-making process, helping authors strategically prepare their submissions.

A comprehensive guide to navigating the UIST (User Interface Software and Technology) academic review pipeline. It details every stage, from initial submission and expert review to the rebuttal phase and final committee decisions. The guide teaches authors how to critically analyze reviewer feedback, identify evidence gaps, strengthen novelty claims, and strategically plan for conditional acceptance or resubmission.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This comprehensive guide details the academic submission lifecycle for USENIX Security. It maps out the multi-stage review pipeline, from initial submission through early rejection to final notification. It critically updates authors on the current decision vocabulary (e.g., Shepherd Approval, retired major revisions), emphasizing mandatory review foci like ethics adequacy, threat-model realism, and openness posture for strategic planning.

This guide provides a comprehensive overview of the VLDB submission and review pipeline. It details the rolling monthly structure, the decision outcomes (Accept, Revise, Reject), and the specific expectations for authors at each stage. Use this to set realistic expectations regarding review timelines, the nature of expert feedback, and optimizing your revision strategy, contrasting it with traditional batch venues.

A comprehensive guide for assembling a reproducible data and code package for publishing economic manuscripts, specialized for World Bank Economic Review (WBER) standards. It details best practices for data availability statements, handling restricted microdata, pinning software versions, and ensuring full transparency throughout the analysis pipeline.

A comprehensive guide for authors preparing camera-ready submissions for Web Conferences. It covers the critical pre-acceptance steps, such as de-anonymization, restoring acknowledgements, managing ACM e-rights, and submitting associated artifacts. Learn how to navigate the tight production pipeline, ensuring compliance with ACM standards and meeting strict page limits.

This skill models the entire peer-review pipeline for Web Conferences (WWW), detailing the stages from abstract submission to final notification. It guides authors and reviewers on the implications of track-scoped double-blind review, emphasizing criteria such as Web-centricity, evidence scale, and ethical considerations required for acceptance.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.

gget is a versatile CLI and Python package designed for rapid, reproducible bioinformatics searches across major genomic reference databases (e.g., Ensembl, UniProt). It allows users to quickly query gene metadata, perform initial BLAST/BLAT style alignments, and explore associated pathways, cancer, or disease modules. It is ideal for initial data exploration and generating reproducible evidence logs before building complex, full-scale local pipelines.