Skill UI

This skill guides authors on how to position interdisciplinary manuscripts for journals covering global environmental change (GEC). It emphasizes connecting multiple knowledge domains (e.g., biophysical science, governance, social science) and reframing the research gap as a conceptual contribution, rather than merely pointing out an absence of study. Essential for drafting strong introductions and satisfying reviewer requirements for disciplinary breadth.

This guide helps researchers determine if their environmental project aligns with the scope of Global Environmental Change (GEC). It emphasizes the requirement for social-science components, policy relevance, and societal significance, ensuring the work advances knowledge about how societies interact with environmental change, rather than focusing solely on biophysical results.

This comprehensive guide details the stringent process of preparing an accepted scholarly paper for publication in LIPIcs proceedings. It covers mandatory steps including converting to the specific `lipics-v2021` class, systematic de-anonymization (restoring authors, ORCIDs, and acknowledgements), completing rich metadata (ACM CCS, keywords, funding), and reconciling the final body text with the public full version. Essential reading for ensuring smooth production.

This guide outlines the complex process of converting an accepted, triple-blind academic paper into the final, professional camera-ready version required by IEEE conferences (e.g., ICDM). Key steps include de-anonymizing the text by restoring author names, affiliations, and acknowledgements; compressing the content if accepted as a short paper; adhering to strict IEEE formatting and page limits; completing electronic copyright transfer (eCopyright); and registering for mandatory in-person presentation.

This guide outlines the rigorous standards for achieving robust reproducibility in robotics research papers, especially those involving physical hardware. It details a two-tier approach, defining results as either fully *rerunnable* (code/simulation) or fully *auditable* (hardware logs/protocols). Key requirements include creating comprehensive hardware specification ledgers, logging detailed sensor data (rosbags), separating deterministic from stochastic claims, and structuring the entire repository for peer review.

A comprehensive guide for structuring author responses to major academic conference reviews (e.g., ICSE). It distinguishes between the initial 'author response' and the structured 'Major Revision' letter. Learn how to address specific review criteria (Novelty, Rigor, Relevance, Verifiability) using a technical, neutral 'ledger' format, ensuring every claim is evidence-based and professionally presented.

Comprehensive guide for converting an accepted academic paper into the final camera-ready version for IEEE proceedings. It details crucial post-acceptance steps, including working through the shepherd's concern ledger, mandatory inclusion of the ethics section, de-anonymizing sensitive technical details (like vendor names and CVEs), and adhering to strict IEEE formatting and submission mechanics. Essential for authors finalizing submissions.

A comprehensive guide for authors targeting the International Conference on Knowledge Capture (K-CAP). It assists in positioning the manuscript, re-framing the contribution, and verifying the evidence bar. The tool emphasizes that the work must focus on knowledge acquisition, engineering, and operationalizing structured knowledge systems, rather than merely using them in a general context.

This skill is a strategic guide for authors submitting to top-tier AI conferences, specifically the International Conference on Principles of Knowledge Representation and Reasoning (KR). It helps users assess manuscript fit, framing, and evidence requirements. It provides deep guidance on the required scope, such as formal semantics, nonmonotonic reasoning, and ontologies, ensuring the paper is positioned correctly within the specialized KR community. Ideal for pre-submission strategy and manuscript re-framing.

This skill provides a comprehensive guide for authors targeting the International Semantic Web Conference (ISWC). It details the best practices for framing semantic web, knowledge graph, and ontology papers. It helps authors ensure their manuscript meets the venue's high standards regarding semantic interoperability, real-world data application, and specific contribution types, optimizing the submission strategy.

A comprehensive guide for structuring the evidence bundle required for robotics research submissions. It details the critical components—including hardware ledgers, time-stamped logs, configuration files, code, and data—necessary to ensure that scientific claims are fully auditable and reproducible, addressing the needs of skeptical reviewers.

This guide establishes standards for reporting reproducibility in robotics research, addressing the difference between traditional ML and physical systems. It mandates that every claim must be classified as either 'rerunnable' (executable code/simulation) or 'auditable' (detailed logs, hardware specs, and protocols). It covers creating a complete evidence map, detailing the hardware specification ledger, explicitly reporting the sim-to-real gap, and writing an honest availability statement, all within the main paper body.