Skill UI

A comprehensive guide for drafting a technical author response (rebuttal) for peer-reviewed academic papers (CAV). It teaches authors how to structure a rebuttal by addressing specific objections related to proof soundness, benchmark fairness, novelty, and scope, using only verifiable evidence, not future promises.

A comprehensive guide for drafting and revising academic papers for the ACM CHI conference. It provides detailed instructions on structuring explicit contribution statements, calibrating claims, ethically handling participant quotes, and ensuring accessibility for mixed-expertise review juries. Essential for those submitting research in HCI and related fields.

A comprehensive guide for drafting the Related Work section for top-tier networking conferences (e.g., CoNEXT, SIGCOMM). It emphasizes moving beyond simple literature summaries to create a 'delta argument'—clearly defining what the paper contributes over the closest prior work. Guidelines cover covering specific networking 'lanes' (like IMC, NSDI, SIGMETRICS), maintaining double-anonymous citations, and ensuring the contribution is concrete and testable.

This guide provides detailed structural and methodological advice for drafting the policy implications section of manuscripts submitted to academic journals focusing on rural China. It teaches authors how to elevate suggestions from generic statements to deeply grounded, significance-level policy recommendations, ensuring the implications are strictly anchored to the paper's empirical findings and specific agricultural/rural scenarios (Sannong).

A comprehensive guide for researchers to determine if their human-centered research belongs in CSCW. It provides a critical unit-of-analysis test (group, community, organization) and a routing decision process to ensure the paper's focus is on cooperative practice, not just individual interaction. Use this before drafting to optimize submission to the correct academic venue.

This comprehensive guide outlines the academic standards and best practices for drafting or revising papers in the Computer-Supported Cooperative Work (CSCW) domain. It provides detailed advice on managing effective word count, shifting focus from individual users to group dynamics, strengthening theoretical arguments, and presenting empirical evidence with high academic rigor. Essential for researchers aiming for top-tier publication.

This skill guides researchers on selecting and positioning their academic paper for the journal *Computer Science*. It helps determine if a topic fits the journal's broad, multi-disciplinary scope, identifies the correct column (e.g., AI, Software), and advises on the appropriate paper type (review, research, application). It also provides strategic guidance on comparing it with other specialized journals, making it ideal for pre-drafting planning.

This guide provides detailed structural and content requirements for drafting a literature review intended for the Finance & Trade Economics (CTE) journal. It emphasizes shifting from a mere listing of studies to a 'dialogue-based' discussion, balancing international theory with localized Chinese empirical research and institutional context. Key focus areas include the three-layer structure, source balance, and differentiating the paper's unique contribution.

A specialized guide for structuring the policy implications section of high-level finance and trade economics manuscripts. It teaches authors how to move beyond vague suggestions, anchoring policy recommendations in concrete Chinese fiscal, financial, or trade policy tools, and linking them directly to the paper's empirical evidence and mechanisms.

A comprehensive guide for managing the entire lifecycle of major academic conference submissions (e.g., CVPR). It details critical timelines, from initial scope freezing and paper drafting to supplement submission, rebuttal writing, and resubmission strategies across different venues (ICCV, ECCV). Focuses heavily on project management and coordination to prevent process failures.

This comprehensive guide outlines a detailed, backward-planning workflow for submitting research papers to major AI conferences like ECAI or IJCAI-ECAI. It covers the entire academic lifecycle, from initial topic selection and evidence type planning to abstract submission, full paper drafting, rebuttal response, and final camera-ready publication, ensuring authors meet strict deadlines and adhere to rigorous review standards.

A comprehensive guide for drafting and compressing academic manuscripts, focusing on strict formatting constraints (e.g., LNCS single-column, 14-page limit) typical of major conferences like ECCV. Learn how to structure your paper, optimize the first page for non-specialists, and phrase claims to withstand rigorous peer review and rebuttal.