Rank academic papers by relevance to a research question with scores and notes.
npx skills add https://github.com/prathamchopra001/INQUIRO --skill paper-ranking
Please help me install this Agent Skill. Skill: paper_ranking Source: https://github.com/prathamchopra001/INQUIRO/tree/main/skills/paper_ranking Command: npx skills add https://github.com/prathamchopra001/INQUIRO --skill paper-ranking
This Skill helps researchers quickly identify and prioritize academic papers that are most relevant to their specific research objectives, saving time sifting through vast amounts of literature.
Rank the provided academic papers based on their relevance to the research objective: "What are the key factors affecting Q-learning convergence?".
High-intent search queries and answers about installing and using this skill.
To rank academic papers by relevance, input your specific research question along with the target papers. The Skill evaluates domain-specific contributions, empirical evidence, and theoretical depth to output a structured JSON list of papers with numerical relevance scores and notes.
Prioritizing literature for a research review involves differentiating between empirical and theoretical contributions. This Skill evaluates papers against your research objective, favoring domain-specific and evidence-based work to assign a numerical relevance score to each paper.
Yes, relevance scoring for academic papers applies across research domains. By analyzing papers against your given research question, the mechanism prioritizes domain-specific contributions and empirical evidence, making it adaptable to any specific academic field.
Relevance scoring works by analyzing papers against a research objective and assigning numerical scores. The mechanism specifically differentiates between empirical and theoretical contributions, prioritizing evidence-based work and domain-specific findings to generate a ranked JSON list.
The paper ranking output uses a structured JSON list. This output format contains the ranked academic papers along with their assigned numerical relevance scores and specific notes detailing their contributions to the research question.
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