Skill UI

This skill allows agents to retrieve and inject relevant operational memories from the OpenViking experience library into the current prompt context. It is designed for complex, multi-step tasks involving tool usage, code operations, or decision-making workflows. By searching and reading past successful executions, the agent improves context awareness and decision accuracy, moving beyond simple Q&A.

This guide provides a detailed model of the PerCom conference review process, covering double-blind review, the three-TPC-member evaluation model, the early-rejection gate, and the bounded rebuttal stage. It clarifies how authors should structure their submissions to succeed in this single-round, non-revisionary academic environment, differentiating it sharply from journal cycles.

This guide provides best practices for designing and auditing academic evaluations of programming language features and compilers, following standards used in venues like PLDI. It covers selecting defensible benchmark suites, establishing strong baselines, performing targeted ablations, and measuring multiple performance metrics (runtime, compile time, memory) to ensure research claims are reproducible and scientifically sound.

This guide simulates the rigorous, anonymous review process of PMLA, teaching scholars how to adapt their work for top-tier humanities publication. It helps users pre-empt failure modes by analyzing eligibility (MLA membership, non-publication status), ensuring generalist significance, engaging broad criticism, and grounding all claims in verifiable close textual reading.

This comprehensive guide provides the final preflight checklist for submitting academic manuscripts to PMLA via ScholarOne. It covers crucial guidelines including maintaining anonymity (blind review), verifying MLA membership eligibility, adhering to strict word counts, applying the latest MLA style, and properly disclosing any AI-generated content before final submission.

This skill refines academic prose specifically for publications like PMLA. It ensures that sophisticated theoretical arguments are presented with exceptional clarity and conciseness, making the writing highly accessible to a general membership of language and literature scholars, without sacrificing intellectual rigor. Ideal for polishing drafts after the core argument and structure are finalized.

This skill guides authors through the unique submission tracks required by PNAS, differentiating between the standard Direct Submission and the Contributed Submission. It covers eligibility criteria, the specific roles of NAS members, and provides a clear decision framework for choosing the correct path for published research.

A comprehensive guide for researchers detailing how to structure the 'Related Work' section for top-tier parallel computing conferences like PPoPP. It emphasizes 'delta-first' comparison, covering specific technical lanes (concurrent data structures, runtimes, GPU acceleration, memory models), and ensuring proper academic positioning against major parallel systems venues.

This comprehensive guide serves as a preflight checklist for authors submitting manuscripts to academic journals, specifically targeting the Quantitative Economics (QE) journal. It details critical formatting rules, membership requirements, fee structures, and procedural best practices, ensuring authors perform a thorough self-review before final submission to minimize rejection risks.

This guide provides a highly strategic protocol for drafting the single-page rebuttal memo required for top-tier academic conferences, such as RSS. It teaches authors how to tailor their response for the Area Chair (AC), focusing on maximum impact with minimal words. Key strategies include prioritizing critical objections, citing evidence using coordinates (e.g., Table 3, row 4), and making controlled scope concessions rather than re-running experiments or thanking reviewers extensively. This maximizes the chances of influencing the final review decision.

This comprehensive guide outlines the strict criteria for submitting a paper to the SenSys conference after the 2026 merger. It clarifies that the core contribution must be a built, measured sensing or embedded system, demonstrating value based on physical resources like energy, memory, and latency on real hardware, rather than being a pure algorithm or networking mechanism.

A detailed guide modeling the complex academic review machinery, using SIGIR as a primary example. It covers everything from per-track anonymity regimes and PC-member nomination duties to the critical scoring criteria: evaluating validity, fairness of comparison, and statistical rigor. Essential reading for authors preparing high-stakes research submissions.