Skill UI

This skill provides functionality to upscale and enhance the resolution of both images and videos using advanced Artificial Intelligence models. It is useful for improving visual quality, restoring detail, and increasing the clarity of low-resolution media assets for creative and professional use.

This skill leverages artificial intelligence to automate the creation of professional PowerPoint presentations. It performs deep document analysis to extract key insights, structure the narrative, and incorporate styled, relevant images, transforming source documents into polished, ready-to-use visual presentations efficiently.

This skill analyzes how artificial intelligence (AI) is disrupting an industry or specific business unit. It assesses competitive exposure across 10 critical vectors (e.g., labor substitution, data moat, customer interface) and generates a detailed 90-day defensive counterstrike plan. Ideal for due diligence, strategic planning, and anticipating market shifts in AI-driven ecosystems.

A comprehensive guide for positioning AI/ML manuscripts for top-tier general AI conferences like AAAI. It helps authors refine their scope, frame their contribution, provide necessary evidence (e.g., ablations, baselines), and strategically compare their work against related research and similar venues (ICML, IJCAI). Ideal for pre-submission manuscript refinement.

A comprehensive guide for authors preparing manuscripts for the International Conference on Artificial Intelligence and Statistics (AISTATS). It advises on whether the paper's contribution is statistically grounded and theory-backed, guiding framing, evidence presentation, and understanding reviewer expectations in statistical machine learning.

This skill guides authors on strategically positioning their AI/ML manuscripts for the European Conference on Artificial Intelligence (ECAI). It provides deep insights into the conference's scope, required contribution framing (e.g., algorithm, system, theorem), evidence standards, and how to tailor the narrative for a general European AI readership. Use it when targeting ECAI or needing to refine a paper from a journal or arXiv style into a selective conference submission.

A critical guide for authors submitting to ICALP (International Conference on Logic, Artificial Intelligence and Programming). It clarifies that ICALP is a pure theoretical venue where the core contribution is a mathematical theorem and its verifiable proof, not a functional code artifact. This document advises authors from systems or ML backgrounds on how to adjust their focus and what constitutes a valid contribution.

This guide provides comprehensive strategic advice for authors submitting manuscripts related to Artificial Intelligence, Constraint Programming, and Operations Research (AI/OR) to top-tier conferences like CPAIOR. It helps refine scope, structure, evidence standards, and narrative framing to meet highly specialized reviewer expectations, ensuring the paper is positioned as a solid hybrid optimization contribution.

This skill provides a comprehensive strategic guide for authors targeting top-tier AI conferences like IJCAI. It assists in framing the manuscript's contribution, ensuring broad intellectual relevance across learning, reasoning, and planning, and structuring evidence to meet the expectations of cross-area AI specialists. Use it to optimize your submission strategy and compare it against neighboring venues (e.g., AAAI, ICLR).

This guide assists researchers in determining the topic suitability, appropriate format (research paper, review, special issue), and correct academic placement for manuscripts targeting 'Pattern Recognition and Artificial Intelligence' (PR&AI). It outlines the journal's focused scope across core AI domains like ML, CV, and NLP, helping authors avoid common submission pitfalls and ensuring their contribution has sufficient originality and academic depth.

This skill serves as the central orchestrator dashboard for authors submitting manuscripts to PR&AI (Pattern Recognition and Artificial Intelligence). It meticulously outlines the entire publication lifecycle, from initial topic selection and structured writing to experimental design, rigorous self-review, navigating peer review stages (initial, expert, final), addressing revisions, and preparing the final camera-ready submission. It breaks down the academic process into actionable stages and critical milestones, ensuring no crucial step is overlooked during the 6-month review cycle.

A comprehensive style guide and checklist for writing and refining long-form academic articles for 'Pattern Recognition and Artificial Intelligence' (PR&AI). It covers the entire publishing workflow, from mastering the structured introduction (Problem-Gap-Contribution) and writing four-element abstracts, to adhering to rigorous standards for citations (GB/T 7714), figures, and mathematical notation in AI research.