{"name":"brycewang-stanford-journal-of-management-sciences-in-china-skills-journal-of-management-sciences-in-china-skills","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"brycewang-stanford-journal-of-management-sciences-in-china-skills-journal-of-management-sciences-in-china-skills","source":{"source":"github","repo":"brycewang-stanford/awesome-journal-skills"},"description":"Agent skill stack for submitting to 《管理科学学报》 (Journal of Management Sciences in China, JMSC) — the quantitative / mathematical management-science journal co-sponsored by the NSFC Management Science Division and Tianjin University (monthly, ISSN 1007-9807, CN 12-1275/G3). The deliverable JMSC rewards is MODELS + PROOFS + ALGORITHMS + numerical insight, not regression-and-policy or survey-SEM empirics (those route to 管理世界 / 南开管理评论 / 金融研究). Covers fit positioning, decision-problem formulation, model building, propositions and proofs, algorithm complexity / convergence analysis, numerical experiments, behavioral OM, model-derived decision rules, unified notation, JMSC submission preflight (≤8000 chars, abstract ≤300, keywords 3–8, numbered 〔1〕 references, jmsc.tju.edu.cn), and R&R rebuttal.","version":"0.2.0","strict":true,"keywords":["journal-of-management-sciences-in-china","guanli-kexue-xuebao","jmsc","operations-research","decision-theory","mathematical-modeling","optimization","behavioral-operations","chinese-journal"],"category":"deployment"}]}