paper-recommendationAutomates discovery, parallel review, scoring, and briefing generation of AI research papers from arXiv, supporting daily updates and PDF analysis.
Install via ClawdBot CLI:
clawdbot install sjf-ecnu/paper-recommendationGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
This skill assists researchers and students by automating the discovery and review of the latest AI papers from arXiv. It saves time by fetching relevant papers, generating structured briefings, and providing parallel sub-agent reviews, enabling users to stay updated efficiently.
Companies in tech and AI sectors can use this skill to monitor emerging research trends and innovations. It automates daily paper collection and analysis, helping R&D teams identify relevant studies for product development or competitive analysis without manual effort.
Media outlets and content creators can leverage this skill to generate timely summaries and reports on AI advancements. The structured briefing format provides ready-to-use content for articles, newsletters, or social media posts, enhancing coverage of scientific developments.
Investors and analysts in venture capital or tech funds can utilize this skill to track AI research for due diligence and trend spotting. It offers automated insights into paper quality and recommendations, aiding in decision-making for investments in emerging technologies.
Universities and training programs can integrate this skill into curricula to provide students with curated paper reviews and briefings. It supports learning by offering automated, in-depth analyses of recent research, fostering engagement with current AI topics.
Offer tiered subscriptions for individuals, teams, or enterprises to access automated paper recommendations and briefings. Revenue comes from monthly or annual fees, with premium features like advanced analytics or custom report generation.
Provide a free basic version with limited paper reviews and charge for API access or high-volume usage. Revenue is generated through API calls, enabling integration into third-party tools or platforms for research automation.
Sell customized licenses to corporations or research institutions for internal use, including integration with existing systems and dedicated support. Revenue comes from one-time setup fees or annual licensing agreements tailored to client needs.
💬 Integration Tip
Ensure proper setup of dependencies like Poppler for PDF extraction and configure cron jobs for automation; test sub-agent spawning in your environment to handle parallel reviews efficiently.
Scored Apr 15, 2026
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