Skill UI

A comprehensive preflight guide designed for authors submitting manuscripts to highly specialized academic journals. It covers essential checks beyond standard drafting, including stylistic conformity, mandatory disclosures (Ethics, Data Availability, AI usage), and ensuring the paper's theoretical fit within the journal's specific scope. Essential for maximizing submission success.

A comprehensive guide for authors writing ML systems papers for MLSys. It teaches authors how to structure a technical argument by focusing on a measured bottleneck, naming mechanisms, and structuring the evaluation around research questions. It emphasizes numerical discipline, proper figure usage, and conciseness to fit within conference page limits.

This plugin integrates the OpenViking context database, providing powerful long-term memory, session archiving, and semantic recall for OpenClaw agents. It enables agents to query, debug, and manage persistent knowledge bases, significantly enhancing conversational depth and complex tool usage.

This comprehensive preflight checklist is designed for authors preparing manuscripts for top academic journals. It guides users through crucial submission requirements, including double-blind anonymization, adherence to strict length norms (under 50 pages), structuring the contribution case, and ensuring compliance with modern transparency policies regarding data, code, and AI usage. Use it to maximize submission quality and minimize desk rejection risk.

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 framework for researchers to determine the most suitable venue (e.g., PLDI, POPL, OOPSLA) for their programming language or systems research paper. It guides authors on whether their core evidence lies in theoretical proofs, working implementations with benchmarks, or empirical usage studies, ensuring optimal submission routing and maximizing acceptance chances.

This comprehensive checklist guides authors through the final, critical steps before submitting a scholarly article to Production and Operations Management (POM). It ensures strict adherence to formatting rules (e.g., 32-page limit, 1.5 spacing), double-blind anonymization, proper departmental routing, and mandatory disclosures (such as same-data usage). Using this preflight check maximizes the likelihood of a smooth and compliant submission process.

A comprehensive style checker and formatter for academic manuscripts targeting The RAND Journal of Economics (RJE). It ensures strict adherence to the journal's specific house rules, including author-date citations (no page numbers), unnumbered references/subsections, proper equation numbering, and correct usage of transition words (e.g., 'because' vs 'since'). Ideal for the final polish before submission.

A comprehensive guide for strengthening the reproducibility of academic papers, especially those involving systems claims (e.g., power usage, latency). It details maintaining a 'recipe ledger' for all reported metrics, ensuring constraint-aware measurement of environmental variables, and managing data/artifact consistency across the entire two-round revision process.