paper-reviewv1.0.0

Journal editors use this skill to automate initial screening of submissions, checking for objective errors and novelty before sending to human reviewers. It handles PDFs across 10 disciplines, reducing workload and ensuring basic quality standards.

Conference program committees employ the skill to review submissions for events like NeurIPS, scoring papers on correctness and significance. It supports venue-specific instructions and BibTeX verification to streamline the selection process.

Funding agencies use the skill to evaluate grant proposals or preprints for methodological soundness and innovation. The multi-stage pipeline identifies critical flaws in logic or data, aiding in prioritization decisions.

Instructors in higher education apply the skill to review student research papers, focusing on correctness and references. It supports custom instructions for discipline-specific criteria and outputs scores to supplement manual grading.

Companies in tech or biotech use the skill to review internal research reports or external collaborations for accuracy and novelty. It verifies references and assesses quality to support innovation pipelines and patent filings.

Offer the skill as a cloud-based service with tiered pricing based on review volume or disciplines. Revenue comes from monthly subscriptions for academic institutions, publishers, and research teams needing automated paper assessments.

Provide the pipeline via an API where users pay per paper review, with costs scaling by page count or model usage. This targets occasional users like individual researchers or small conferences without ongoing commitments.

License the skill as on-premise software for large organizations like universities or government agencies, with custom support and integration. Revenue includes upfront fees and annual maintenance for secure, high-volume processing.