Skill UI

A comprehensive guide for revising complex multi-agent research papers for top-tier conferences. It emphasizes an 'interaction-first' approach, ensuring the unique contribution is highlighted on the first page. The guide mandates naming solution concepts, making the game legible, and rigorously pairing every major claim with a formal proof, self-play, or deployment experiment.

A comprehensive guide for authors targeting top Human-Computer Interaction (HCI) conferences like CHI. It helps authors position their manuscripts, define required contribution types (e.g., system, dataset, empirical finding), and structure the paper to meet the rigorous standards of human-centered computing reviewers, focusing on user experience and design implication.

A comprehensive guide for authors targeting the ACM Conference on Intelligent User Interfaces (IUI). This skill helps evaluate manuscript fit, refine scope, understand evidence requirements, and strategically position papers related to AI-infused interaction, adaptive systems, and user modeling for top-tier HCI venues.

This skill guides authors on positioning their manuscript for the ACM/IEEE International Conference on Human-Robot Interaction (HRI). It helps determine if the work fits the venue, how to re-frame the narrative, and what evidence (user studies, interaction contribution) is expected by HRI reviewers. Ideal for pre-submission strategy and scope calibration in human-robot interaction research.

This guide provides authors with a comprehensive framework for positioning technical manuscripts for the ACM Interactive Surfaces and Spaces (ISS) conference. It covers essential areas like defining scope, aligning hardware evidence with interaction techniques, optimizing the narrative structure, and understanding the specific community expectations for spatial and tangible computing.

A specialized guide for positioning academic manuscripts for the ACM MobileHCI conference. It helps authors refine their paper's focus, evidence structure, and narrative to match the unique requirements of mobile interaction, wearable interfaces, and on-device sensing. This tool acts as a fit/venue-selection tool, guiding the structuring of the contribution, evidence, and scope to meet top-tier conference standards.

This skill guides authors on positioning their research for the ACM International Conference on Tangible, Embedded, and Embodied Interaction (TEI). It functions as a venue-selection and re-framing tool, helping authors structure manuscripts (moving from general CS/journal style to a specialized tangible interaction narrative). It covers scope fit, evidence requirements, and distinguishing TEI from similar HCI conferences.

A specialized guide for authors targeting the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR). It assesses whether a manuscript fits the venue's core focus on human-centered IR, user behavior, and interactive search. Provides strategies for framing contributions, analyzing evidence gaps, and optimizing submission readiness for top-tier academic publication.

This skill guides authors in assessing the suitability of their research concerning agricultural or forest ecosystems for journals focused on land–atmosphere interactions. It emphasizes that the core contribution must be a biophysical process—such as the exchange of energy, water, or carbon—rather than purely agronomic or ecological observations. Use it to re-frame your work to highlight micrometeorological processes and robust flux measurement methodologies.

This guide provides rigorous guidelines for creating high-quality figures and tables for complex systems manuscripts, especially in agricultural science. It emphasizes shifting focus from single-factor bar charts to systemic visualizations that reveal interactions, trade-offs (e.g., Pareto fronts), model dynamics, resource flows (Sankey diagrams), and model performance (observed-vs-simulated fit). Exhibits must be self-contained, reproducible, and convey uncertainty.

This guide provides a rigorous framework for structuring Agricultural Systems (AgSy) research. It teaches users how to explicitly define system boundaries, core components, critical interactions, and hierarchical levels. Furthermore, it instructs on selecting, justifying, and describing complex models (e.g., process-based, ABM, bio-economic) to ensure the research is scientifically sound and fully reproducible.

This guide helps researchers rigorously evaluate if their project meets the criteria for a 'systems analysis' in high-impact journals. It teaches how to shift the research focus from single-factor field trials to complex systems questions that analyze interactions, trade-offs, and emergent behaviors across multiple hierarchical levels, such as the farm to the food system. Essential for properly framing scope and article type before submission.