Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when a 《中国工业经济》 (China Industrial Economics) manuscript needs mechanism evidence. Prefers split-channel and moderation (heterogeneity-by-mechanism) regressions and treats the three-step mediation method as suspect — per Jiang (2022, CIE 2022:5), the journal's own methodological-norm guide. Use after the main effect is identified.
Use when designing or auditing the empirical program of a CIKM paper — matching evidence to the claim's lanes across retrieval, mining, and knowledge-management evaluation cultures, choosing datasets and baselines that survive a blended panel, isolating the boundary mechanism, and meeting applied-track deployment-evidence bars.
Use when reasoning about CIKM peer review — the EasyChair double-blind pipeline, the mixed IR/data-mining/knowledge-management reviewer pool, per-track evaluation criteria, the ACM Peer Review Policy including the no-AI-written-reviews rule, notification timing, and what actually moves borderline decisions.
Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.
在为投向《计算机学报》(Chinese Journal of Computers, CJC) 的长文设计与呈现实验、评估或理论验证时调用。覆盖如何按贡献类型(算法/系统/理论/实证/学习类)匹配证据、如何设立评估问题与公平基线、如何选数据集与指标、如何做消融与显著性分析、如何报告均值方差与统计检验而非单点最优、如何防数据泄漏与评测污染、以及如何用图表在长文中充分而不冗余地呈现结果。适用于让计算机全学科中文原创研究的实验部分经受本刊三审专家对"数据充分真实、结论可信"的审查。
在需要理解或预判《计算机学报》(Chinese Journal of Computers, CJC) 审稿流程、以便安排投稿节奏与修回策略时调用。覆盖本刊三审制的完整链路(编辑初审→专家外审→复审退修→主编终审)、初审退稿的常见理由(不符宗旨/无新意/重复前人/观点模糊/学术不端总重复率超 30%)、外审的双盲(删除作者信息)与 2~3 名同行评议约 20 天、多轮退修与重新送审、第一轮约 3~4 个月的审理周期与全程约半年的经验时长，以及作者在各环节的可用杠杆。适用于为计算机全学科中文长文规划评审预期的场景。
在判断一项计算机研究是否适合投《计算机学报》(Chinese Journal of Computers, CJC)、以及应落到哪个栏目/稿件类型时调用。覆盖本刊作为 CCF A 类计算机学科综合性中文旗舰月刊的定位、与专业子刊(软件学报偏软件/系统、自动化学报偏控制、电子学报偏电子通信、计算机研究与发展、计算机科学)的分工、长文与原创性门槛、论文/技术报告/短文/研究简报/综述的类型选择、以及会议论文期刊扩展版的定位。适用于在投稿前把选题的期刊契合度、创新增量与栏目归属想清楚，避免因不符宗旨在初审被退。
Use when building the literature review and contribution positioning for a 《中国管理科学》 (Chinese Journal of Management Science) manuscript — running the Chinese and international literatures as two lanes and pinning a nameable methodological increment. Positions the paper; it does not construct the model itself.
Use when analyzing data and fitting/comparing models for a Cognitive Psychology (Elsevier) manuscript. The journal expects principled model fitting and comparison (AIC/BIC/Bayes factors), parameter and model recovery, (generalized) linear mixed models or hierarchical Bayesian estimation where apt, and effect sizes with uncertainty — all reproducible from shared code. Guides the analysis and modeling; it does not fabricate results.
Use when positioning a Cognitive Psychology (Elsevier) manuscript against the field, especially against rival models and prior empirical programs. In a long-form, model-driven venue, positioning means showing what theoretical question your model adjudicates and why prior accounts fall short. Stakes the contribution against the right contrast class; it does not write the full literature review.