Skill UI

This fixture provides a controlled environment for reviewing truncated packages. It is specifically designed for use during skill-reviewer calibration, ensuring that reviewers handle incomplete data sets correctly. Always refer to the comprehensive reference guide before making any decisions.

This skill guides users through creating or updating a comprehensive brand profile. It supports new client onboarding, detailed business profiling (including industry, USP, and business model), and brand voice calibration. Whether performing a quick setup or a full deep dive, it ensures all subsequent marketing content and strategies are perfectly aligned with the brand's identity.

A specialized guide for authors targeting the ACM Conference on Fairness, Accountability, and Transparency (FAccT). It helps authors strategically frame their responsible AI research, ensuring claims are rigorously grounded in both technical measurement and social context. Covers necessary evidence bars, scope calibration, and submission best practices for this niche venue.

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.

A comprehensive guide for authors targeting ACM SIGACCESS Conference on Computers and Accessibility (ASSETS). This skill helps determine manuscript fit, provides strategies for re-framing work from other disciplines (e.g., journal or arXiv style), and details the required evidence (e.g., community-grounded framing, ethical evaluation) needed to succeed in this specialized venue. Use it for venue selection, scope calibration, and submission readiness checks for accessible technology research.

This guide helps authors assess the suitability and optimal framing of their computer animation manuscript for the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). It provides strategic advice on required evidence, scope calibration, contribution types (e.g., physics simulation, character motion, crowds), and how to position the work against top-tier CS conference standards. Use this when submitting animation-related research.

A comprehensive guide for assembling a fully reproducible research package for macroeconomics papers targeting the American Economic Journal (AEJ: Macro). It ensures compliance with the AEA Data and Code Availability Policy by documenting raw data, simulation/calibration code, estimation routines, and visualization steps, guaranteeing that results can be independently verified by reviewers.

A comprehensive guide for authors developing quantitative macro models (DSGE, HANK, etc.). It outlines the rigorous standards required for parameter calibration, structural identification, solution accuracy, and counterfactual validity, ensuring the model's results are defensible and publishable in top-tier academic journals.

A comprehensive guide for positioning continual learning and lifelong agent research for the Conference on Lifelong Learning Agents (CoLLAs). This tool helps authors strategically re-frame their work, assess its fit, and optimize the narrative to meet the specific evidence bar of top CS venues focusing on nonstationary learning, adaptation, and memory. It covers scope calibration, required evidence types, and comparison with related ML conferences.

This skill serves as a comprehensive guide for positioning computer communications and networking manuscripts for the IEEE INFOCOM conference. It helps authors understand the venue's specific scope, the required evidence bar (solid analytical or empirical performance evidence), and how to re-frame their work to align with INFOCOM's standards compared to sibling venues like SIGCOMM or CoNEXT. Use this for submission strategy and manuscript calibration.

This comprehensive guide provides rigorous econometric strategies for establishing parameter identification, crucial for structural modeling and causal inference. It details how to prove that model parameters are uniquely determined by the observed data, moving beyond mere estimation convergence or external calibration. Essential for advanced empirical research and addressing stringent peer review standards.

A comprehensive guide for authors targeting top-tier conferences like ICAPS. It assists in re-framing automated planning and scheduling manuscripts, providing detailed advice on structuring the contribution, identifying necessary empirical/theoretical evidence, optimizing scope vocabulary, and strategically positioning the work against related venue submissions. Use this tool for venue selection, manuscript calibration, and strengthening the submission narrative.