Skill UI

This framework guides researchers in transforming platform-specific findings into abstract, portable concepts or functional mechanisms. It moves beyond mere correlation by helping define the scope, definition, and underlying process (mechanism) of a digital-media phenomenon, making the argument applicable to different contexts and technologies.

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 skill guides agents through comprehensive resource and filesystem operations within the OpenViking CLI. It covers the entire data lifecycle, including adding, importing, exporting, backing up, restoring resources, and performing standard filesystem actions (e.g., list, find, write, delete) under the `viking://resources/` namespace. Use this when the user needs to manage context, search data, or execute complex command sequences.

This skill guides the writing of a strong, argumentative literature positioning section for high-impact academic journals. It teaches researchers how to move beyond simple citation lists by systematically confronting the nearest competing works, clearly defining the unique marginal contribution, and establishing the necessary context ("why now?") for the research, ensuring the work's novelty and readability.

This skill guides researchers through the rigorous process of refining a preliminary accounting idea into a sharp, contribution-driven research question suitable for top academic journals like Review of Accounting Studies (RAST). It helps users identify the core accounting construct, define the mechanism (friction/channel), and ensure the study's focus is on accounting theory, rather than merely using accounting data in a general finance context.

This comprehensive guide outlines the rigorous standards required for achieving experimental reproducibility in systems research papers (e.g., VLDB). It instructs authors on disclosing critical context, including hardware specifications, software configurations, data provenance, workload patterns, and handling measurement variance. Adhering to these guidelines ensures that all performance claims are fully traceable from raw data to published figures, meeting the highest standards of academic review.

This skill is essential for scholars working in Comparative Politics and International Relations. It guides the process of transforming single-case empirical findings into robust, portable theoretical arguments. By explicitly defining causal mechanisms, stating scope conditions, and identifying observable implications, the skill ensures the research contribution significantly advances theoretical debates across multiple cases or contexts.

A comprehensive guide for authors submitting policy or management papers, detailing the required structure and depth for the institutional background section. It ensures the manuscript meets the high standards of major academic journals by providing a four-part framework, timeline requirements, and linking the policy context directly to the identification strategy.

This skill transforms raw genomic identifiers (VCF, HGVS, rsID) into highly annotated, consequence-predicted records. It utilizes powerful, open-source tools like Ensembl VEP and gnomAD to predict variant consequences (e.g., missense, nonsense), map coordinates, and attach population allele frequencies. Furthermore, it links these molecular findings to clinical and phenotype context extracted by OpenMed, forming a comprehensive research record.

This skill guides decision-making when resources (time, context, tools) are finite and the search space is infinite. It instructs the user to first establish a clear, explicit 'good enough' aspiration level. Once set, the process involves stopping at the first option that meets this threshold, preventing costly over-optimization and wasted effort.