Skill UI

A comprehensive playbook for academic authors detailing the two distinct tasks of responding to journal feedback. It differentiates between the private, pre-acceptance revise-and-resubmit letter (R&R) and the public, scholarly CA✩ Reply published alongside the article. It guides authors on strategic rebuttal, synthesizing themes, maintaining academic integrity, and ethically managing sources.

A comprehensive guide for designing and auditing empirical experiments in signal processing, audio, and speech domains. It emphasizes matching standard metrics (e.g., WER, SI-SDR, PSNR) to specific tasks, establishing current strong baselines, and systematically sweeping operating conditions (like SNR or reverberation time) to ensure robust, reliable, and publication-ready results.

A comprehensive guide for researchers designing and auditing empirical evaluations for data mining papers (e.g., ICDM). It teaches how to structure a trustworthy evaluation by defining operational tasks, conducting ablation studies to isolate mechanisms, proving scalability, and implementing known-truth checks to ensure findings are valid and not mere artifacts.

A comprehensive guide detailing how to structure the 'Related Work' section for submissions to top data mining conferences like ICDM. It emphasizes positioning the research based on core mechanisms and mining tasks, rather than simply listing results. The guide also provides critical advice on maintaining triple-blind anonymity, verifying citation venues (avoiding misattribution traps), and ensuring the novelty claim is distilled into a single, quotable mechanism-contrast sentence.

A comprehensive guide for authors targeting top-tier conferences like AVI. It helps assess the suitability of a computer science manuscript for visual interaction, interactive visualization, and multimodal interfaces. The tool provides strategies for re-framing the paper, identifying necessary evidence (user tasks, empirical findings), and structuring the submission to meet specific venue expectations.

Systematically transforms high-level ideas or goals into a detailed, structured, and executable taskbook designed for AI agents. This process involves deep research, validation against existing codebases, adherence to strict formatting rules, and generating a single, copy-pastable block of instructions for immediate agent execution. It distinguishes between execution and exploration tasks, ensuring all steps are verifiable and anti-cheating measures are included.

This skill allows agents to retrieve and inject relevant operational memories from the OpenViking experience library into the current prompt context. It is designed for complex, multi-step tasks involving tool usage, code operations, or decision-making workflows. By searching and reading past successful executions, the agent improves context awareness and decision accuracy, moving beyond simple Q&A.

This guide provides comprehensive steps for preparing a camera-ready version of an accepted academic conference paper, such as those for the PACMMOD PODS track. It covers essential tasks including complete de-anonymization, applying final journal formatting, integrating required revisions, populating detailed metadata (ORCID, DOI, CCS concepts), and ensuring the full version is correctly posted and cross-linked on arXiv.

This guide outlines the comprehensive steps required to convert an accepted, anonymous academic paper into its final, published 'camera-ready' version for major conferences (e.g., RecSys). It covers crucial tasks such as restoring author details, affiliations, funding, integrating rebuttal promises, ensuring proper ACM two-column reflow, and managing public code/data repository release.

This comprehensive guide details the critical 'Camera-Ready' stage for manuscripts accepted by *Scientia Sinica Informationis* (SSI). It provides authors with a detailed checklist, covering everything from correcting citations, formatting figures, and reviewing references, to completing administrative tasks like copyright agreements and paying publication fees. Use this guide to ensure your final submission is flawless and ready for professional publication.

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 workflow designed for careful, incremental development. It mandates breaking down large tasks into the smallest meaningful steps, pausing for immediate feedback after each segment. This continuous validation process ensures the direction is correct early on, minimizing risk and making the entire process highly reviewable and manageable.