Skill UI

A comprehensive guide covering core principles for game art production. It details art style selection (Pixel Art, PBR 3D, etc.), structured 2D and 3D asset pipelines, color theory, animation guidelines (including the 12 principles), and professional asset organization standards. Ideal for artists and designers managing the entire game art lifecycle.

This orchestrator skill provides comprehensive core principles for game development, covering topics like the Game Loop, design patterns (State Machine, ECS), performance budgeting, and input abstraction. It guides users by routing them to specialized sub-skills based on required platforms (Web, Mobile, PC), dimensions (2D, 3D), and specialty areas (AI, Networking, Art). Ideal for structuring complex game projects from concept to implementation.

This guide teaches advanced search techniques for identifying specific video games. It emphasizes using highly discriminative technical details such as specific platforms (e.g., DOS, NES, PS4), distribution methods (shareware), game engines, era, and detailed review scores from niche sites. By combining multiple constraints (Platform + Era + Detail), users can dramatically narrow down search results, even locating specific developers or artists involved in the game's creation.

This comprehensive skill transforms raw game concepts into fully actionable, structured Unity development projects. It guides users through a five-phase pipeline, generating detailed Game Design Documents (GDDs), technical scene blueprints, core system architectures, and ready-to-use AI prompts for assets (3D models, textures, music, SFX). Ideal for concept validation and starting a complex game project from scratch.

This guide provides comprehensive instructions for packaging multiagent system (MARL) and game theory evidence for academic submissions, particularly for conferences like AAMAS. It emphasizes that the artifact must be inspectable, containing not just a trained model, but the game definition, environment code, opponent sets, and interaction protocols, ensuring rigorous reproducibility and reviewability.

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.

This guide helps authors prepare for high-level theoretical journal submissions, focusing on the specific requirements of single-anonymous peer review. It details appropriate article types (Article, Miscellanea, ET Interviews), and provides a comprehensive checklist to war-game potential referee objections regarding assumptions, proof gaps, convergence rates, and novelty, significantly improving submission quality.

A comprehensive guide for academics on structuring and articulating the core, novel contribution of a scholarly paper, particularly in specialized fields like Game Theory and Economic Behavior. It provides a framework for crafting a single, highly impactful 'contribution sentence' and organizing the claim cascade (Headline, Why Open, Key Idea), ensuring the theoretical advance is immediately legible to specialized editors and reviewers.

A comprehensive guide for authors addressing major revisions (R&R) for high-level journals, particularly in game theory and economics. It details strategies for structuring responses to referees and editors, covering theory corrections, establishing novelty, presenting robust experimental evidence, and improving overall exposition. Use this to ensure your rebuttal is precise, authoritative, and maximizes acceptance chances.

A comprehensive pre-submission guide for authors targeting high-caliber academic journals like Games and Economic Behavior (GEB). It ensures compliance with critical publishing standards, covering abstract length limits (≤250 words), mandatory conference-version disclosures, generative AI declarations, and correct formatting (LaTeX/Word elsarticle). Use this checklist before submitting to Editorial Manager to minimize rejection risks.

This guide assists researchers in selecting and rigorously defending the appropriate methodology for Management Science (INFORMS) manuscripts. It covers both analytical modeling approaches (e.g., optimization, stochastic processes, game theory) and empirical designs (e.g., quasi-experiments, field trials). It ensures the chosen design not only matches the research question but also meets strict departmental standards and generates decision-relevant managerial insights.

This skill generates high-quality images, textures, icons, and visual assets from text prompts using advanced AI models. It supports multiple providers, including OpenAI (DALL-E) and Google Gemini, offering flexibility in quality and speed. Ideal for rapid prototyping, game asset creation, artwork, and visual mockups across various projects. Requires configuration with an API key.