Skill UI

A comprehensive guide for packaging robotic research artifacts (code, policies, ledgers, hardware specs) for peer review and public release. It details the necessary steps to ensure maximum reproducibility, auditability, and permanence, covering both anonymous review-time evidence and citable public repositories.

This skill assists researchers in strategically positioning their computer graphics and visualization research. It evaluates whether a contribution is truly "graphics-shaped" (demanding visual results and advancing graphics axes) and recommends the optimal venue (e.g., SIGGRAPH, CVPR, CHI, EGSR) and submission track (Dual-track or Journal-only) based on the nature and maturity of the work. It provides a crucial, high-leverage decision framework before committing to a submission.

A specialized guide for structuring the literature review of a sociological methods manuscript. It teaches authors how to position their contribution not against the topic, but against established methodologies. Users learn to map their work against prior estimators, cross-discipline techniques (statistics, econometrics, psychometrics), and competing approaches to maximize academic credibility.

A comprehensive guide for writing the evaluation section of a systems paper for top-tier conferences. It teaches authors how to map every technical claim to verifiable experiments, establish fair state-of-the-art baselines, utilize mixed workloads (microbenchmarks, E2E applications, and traces), and honestly report critical metrics like performance tails, variance, and overheads. The goal is to maximize credibility and withstand rigorous peer review.

This skill guides users on structuring and polishing scholarly abstracts and keywords for high-impact academic journals. It emphasizes moving beyond mere background description by adopting a 'Problem → Proposition → Support → Significance' structure, ensuring the core contribution is presented first to maximize academic impact and international visibility.

Guidelines for ensuring academic proofs are completely verifiable by third parties, especially when theorems are distributed across multiple documents (e.g., extended abstract and full version). It emphasizes single-source builds, preventing statement drift, and detailing computational determinism requirements for maximum rigor in theoretical computer science research.

This guide outlines the rigorous process for submitting and evaluating research artifacts for academic conferences (TACAS/ETAPS). It details the mandatory two-round evaluation system, covering tool-demonstration papers and general research case studies. Authors must package their work to achieve badges like Available, Functional, and Reusable, ensuring maximum reproducibility and environmental compatibility on a clean virtual machine.

This guide models the entire lifecycle of academic conference submissions, detailing stages like bidding, review writing, author response, and decision-making. It helps researchers strategically plan their work to maximize impact, preemptively address potential weaknesses, and optimize their research communication strategy in a competitive academic environment.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

A comprehensive guide to structuring and writing academic papers for WACV, focusing on maximizing acceptance rates. It details the critical differences between writing for 'Applications' vs. 'Algorithms' tracks, ensuring the first page immediately captures reviewer attention. Key advice includes adhering to the strict 8-page budget, making figures self-contained, scoping all claims precisely, and moving excessive detail to supplements.

A comprehensive strategy guide for submitting academic papers to The World Bank Economic Review (WBER). It teaches researchers how to anticipate and preempt common criticisms from development-economics referees (identification flaws, policy relevance, data quality) and how to structure the cover letter to maximize acceptance chances.

This comprehensive guide details the strategic process of writing a high-impact rebuttal for major academic conferences. It teaches users how to triage mixed reviewer feedback, differentiate between in-track, adjacent-track, and web-fit objections, and structure responses using concrete evidence, specific citations, and confident concessions to maximize the paper's acceptance chances.