Skill UI

This tool generates a comprehensive content repurposing plan by taking a single source piece (e.g., webinar, whitepaper) and adapting it into multiple, platform-specific derivative formats. It ensures maximum ROI from content investments by providing full draft content, a detailed posting schedule, and platform best practices for optimal engagement and reach.

This guide provides a strategic framework for drafting highly effective and concise author rebuttals for major AI conferences like AAAI. Given strict character limits, no URLs, and no new results, it teaches authors how to triage reviewer feedback, focus on decision-critical factual errors, and maximize impact to improve paper acceptance chances.

A comprehensive guide for preparing accepted research papers for final submission to major conferences (e.g., AAAI Press). This process covers strict template adherence, deanonymization of author details, managing copyright transfer, optimizing page counts (including purchasing extra technical pages), and ensuring all source files (LaTeX/Word, figures, bibliography) are correctly formatted for professional publication.

This guide provides comprehensive strategies for writing the Related Work section for submissions to AAAI. It teaches authors how to robustly position their paper's novelty by distinguishing contributions from both established archival literature and contemporaneous non-archival work (like arXiv papers). It also addresses specific reviewer expectations across various AI subfields (NeurIPS, ICML, ICLR) and outlines clear structural templates for maximum impact.

This comprehensive guide helps researchers strengthen the reproducibility of AI academic papers for top-tier conferences like AAAI. It outlines best practices for creating a claim-to-evidence ledger, documenting seeds, hyperparameters, compute costs, and dataset licensing. Use this to ensure your work meets the highest standards of academic rigor and verifiability.

This guide provides a comprehensive pre-submission audit checklist for AAAI conference technical papers. It covers crucial aspects like double-blind anonymity, page limits, reproducibility requirements, author policies, and adherence to the latest AI-use guidelines. Use this before submitting to mitigate risks of desk rejection or policy violation.

This guide provides detailed rules for structuring supplementary material (technical appendices, code/data ZIPs, multimedia) for AAAI submissions. It emphasizes that core contributions and essential evidence must reside in the main paper, while appendices should only deepen the argument. It covers guidelines for maintaining double-blind anonymity, ensuring immutability, and achieving reproducibility.

A comprehensive guide for structuring and writing high-quality AI research manuscripts intended for major academic conferences (e.g., AAAI). It teaches how to structure the first page for maximum impact, clearly state contributions (method, theory, system, etc.), ensure two-column readability, and address ethical limitations to appeal to a broad, non-specialist committee audience.

A comprehensive guide for authors transitioning an accepted, anonymous conference submission into the final, public camera-ready version for publication. It covers de-anonymization steps, including restoring author details, updating proceedings metadata, reflowing figures for multiagent papers, and integrating rebuttal promises without expanding the core contribution. This ensures adherence to strict publishing standards.

This guide outlines best practices for ensuring rigorous reproducibility of complex interaction claims, especially in game theory and multi-agent systems (MAS). It details required evidence for proofs, experimental setups (agents, opponents, seeds, compute), and consistency checks between the paper's claims and the provided artifacts. Essential for high-stakes academic submissions like AAMAS.

Provides comprehensive guidelines for authors preparing supplementary materials for conference submissions (AAMAS). It covers structuring full proofs, extended game definitions, extra experiments, and anonymized code assets, ensuring the main paper remains comprehensible while maximizing the impact of supporting evidence.

A comprehensive project management guide for submitting academic papers to the AAMAS conference. It details all critical milestones, including venue fit, evidence locking, abstract submission, double-blind review, rebuttal, and final camera-ready preparation. Essential for managing complex research involving game theory and multi-agent systems.