Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap indirect effects and the index of moderated mediation, and multilevel models (HLM) for nested data. Use when testing construct-relationship hypotheses (mediation / moderation / moderated mediation) on questionnaire data.
Use when positioning an NDSS submission against prior literature — sweeping the security big four plus the specialist venues, writing precise deltas, verifying every citation against NDSS's open proceedings and dblp, and keeping self-reference double-blind.
Use when interpreting where an NDSS submission stands — the two-round pipeline inside each cycle, the early reject with Round-1 reviews, rebuttal and interactive discussion, the Accept / Minor Revision / Major Revision decision set, and the Ethics Review Board's role.
Use when targeting Conference on Neural Information Processing Systems (NeurIPS) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI/ML flagship.
Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.
Use when explaining or diagnosing the NeurIPS main-track review process, including OpenReview, reviewer and AC roles, contribution-type review, ethics flags, reciprocal reviewing, discussion, and LLM-review policy.
Use when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for content/discourse analysis, data construction and validation for computational work, and integration logic for mixed methods. NM&S judges each tradition on its own terms. Strengthens the design; it does not write code.
Use when anticipating how a New Media & Society (NM&S) manuscript will be judged — anonymous (double-anonymized) peer review, what interdisciplinary referees weigh, and the decision categories. Sets expectations; it does not write the paper or the response letter.
Use when targeting npj Computational Materials (npj Comput. Mater.) or deciding whether a computational or data-driven materials manuscript fits this open-access Springer Nature venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.