Skill UI

This guide establishes standards for reporting reproducibility in robotics research, addressing the difference between traditional ML and physical systems. It mandates that every claim must be classified as either 'rerunnable' (executable code/simulation) or 'auditable' (detailed logs, hardware specs, and protocols). It covers creating a complete evidence map, detailing the hardware specification ledger, explicitly reporting the sim-to-real gap, and writing an honest availability statement, all within the main paper body.

A comprehensive guide for researchers on how to structure, package, and document complex scientific artifacts (e.g., simulation results, specialized code) to ensure reproducibility for academic reviewers. It details setting scope tiers (Reproduce, Regenerate, Inspect) and mitigating technical challenges like build fragility and runtime discrepancies.

A comprehensive guide for ensuring the reproducibility of communications simulations for journal submissions. It details critical steps, such as fixing random seeds, channel models, simulation parameters, software versions, and organizing a complete reproduction package. This ensures that research results can be accurately and credibly verified by external reviewers in high-impact scientific journals.

A crucial guide for authors preparing for PODC (Proofs venue). It corrects the common misconception that runnable artifacts or badges are required. Instead, it redirects focus to the three core areas of evaluation: ensuring proof completeness, establishing model rigor by declaring all assumptions, and maintaining transparency for optional simulations.

A comprehensive guide for computer graphics researchers detailing how to achieve result-level reproducibility, especially for major conferences like SIGGRAPH. It emphasizes pinning all provenance—including assets, random seeds, hardware stacks, and hyperparameters—and methodologies for handling non-determinism in floating-point math and stochastic simulations, ensuring that the reported figures and timings can be regenerated by any reader.

A comprehensive guide for packaging and evaluating research artifacts for academic conferences like SIGMETRICS. It details the requirements for achieving ACM Badges (Functional, Reusable, Reproduced) by ensuring the packaged simulation can regenerate key figures and results on a clean machine, moving beyond mere tool execution.

This methodology allows engineers and analysts to conduct controlled counterfactual simulations when real-world testing (such as catastrophic failures, extreme load, or irreversible changes) is too rare, costly, or impossible. By isolating a single variable and tracing the mechanistic chain step-by-step, it helps surface critical system breakpoints, invariants, and necessary controls before deployment.

A comprehensive AI sparring partner designed to prepare lawyers for high-stakes adversarial proceedings, such as oral arguments, depositions, or hearings. It profiles judges/arbitrators based on their prior opinions and questions, predicts likely lines of questioning, maps narrow 'escape routes' they can take, and simulates relentless, real-time adversarial questioning to sharpen arguments until only the strongest answers survive.

This guide details how to implement physics simulation using Phaser 4's lightweight Arcade Physics engine. It enables features like top-down movement, gravity control, and collision detection (colliders) for building platformers and arcade-style games. It is essential for any game requiring dynamic movement or interaction between sprites and world boundaries.

A comprehensive guide to tuning game physics parameters, including mass, gravity, drag, and continuous collision detection (CCD). It addresses common stability issues like jitter and tunneling by correctly separating the fixed-timestep simulation (physics updates) from the variable-rate rendering (visual updates) using interpolation. Essential for creating predictable and responsive game motion across various hardware.

Runs a structured adversarial premortem simulation for UK civil litigation. It builds the strongest version of the case and then attacks it from four critical angles (procedural, substantive, evidentiary, strategic) to pinpoint exact failure modes and blind spots before opposing counsel does. Essential for pre-issue planning, settlement strategy, and litigation fund pitches.

Implement Roblox physical simulation and queries with assemblies, anchoring, constraints, collision groups, raycasts, overlap queries, impulses, forces, network ownership, and physics cleanup for collisions, hit detection, projectiles, vehicles, and knockback.