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SkillsMP has collected 3,969 skills from brycewang-stanford/Awesome-Journal-Skills. Open a skill to review its source and details.
brycewang-stanford/Awesome-Journal-SkillsShowing 40 of 3,969 collected skills.
Use when deciding what methodological detail belongs in a Physical Review Letters body versus Supplemental Material, so a physicist can trust the result without the Letter becoming a long paper. Partitions methods; does not design figures or run analysis.
Use when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise. Plans referee handling; does not write the manuscript or the rebuttal.
Use when responding to Physical Review Letters referee reports or editor decisions — point-by-point reply, resubmission, and the APS appeal route. Structures the response and revision; does not redraft the science from scratch.
Use when running the final pre-submission preflight for a Physical Review Letters manuscript — length check, format, files, Supplemental Material, classification, author info, and metadata. Verifies submission readiness; does not write content.
Use when polishing the prose of a Physical Review Letters manuscript for APS house style, concision, precise notation, and out-of-subfield readability. Polishes language; does not restructure the result or manage length budget.
Use when formatting a PMLA (Publications of the Modern Language Association) essay in MLA style — in-text parenthetical citations keyed to a Works Cited list built from the MLA Handbook's template of core elements, plus quotation, translation, and…
Use when revising a PMLA (Publications of the Modern Language Association) essay after a decision and writing the response to readers' reports. PMLA essays receive at least two substantive reports and the Editorial Board decides, so the revision must answer…
Use when marshalling textual evidence and close reading as the evidence base of a PMLA (Publications of the Modern Language Association) essay. In literary studies the text is the data — claims are earned through careful reading of language, form, and…
Use when choosing and deploying a theoretical or methodological frame in a PMLA (Publications of the Modern Language Association) essay. PMLA welcomes all theoretical perspectives but expects theory to illuminate texts, not to substitute for reading. Also the…
Use when deciding whether a literary or language-studies project fits PMLA (Publications of the Modern Language Association) and which venue to target. PMLA is the discipline's generalist flagship, so the test is interest to scholars and teachers of language…
Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL,…
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and…
Use when building maps, figures, and tables for an Annals of the American Association of Geographers manuscript. The Annals has a dedicated Cartography Editor and Graphics Guidelines; maps are held to cartographic standards, not just plotted. Improves…
Use when situating a Governance: An International Journal of Policy, Administration, and Institutions manuscript in the comparative governance / public-policy / public-administration / institutions literatures and distinguishing it from sibling-journal…
Use when positioning an ICLR paper against prior work, concurrent OpenReview submissions, arXiv papers, benchmark lineages, and adjacent learning-representation claims. Use when a reviewer cites a paper you missed, when a public comment disputes your novelty,…
Use when rewriting a machine-learning paper for ICML-style claims, 8-page clarity, soundness/originality/significance framing, impact statement, lay-summary readiness, and reviewer-updateable rebuttal posture.
Use when preparing an accepted IJCAI or IJCAI-ECAI paper for camera-ready submission, author de-anonymization, author-order checks, copyright and proceedings metadata, final formatting, source/package readiness, in-person presentation obligations, and…
Use when preparing Journal of Human Resources data and replication materials: archive plan footnote, public repository deposit, CC0 license, Data Availability Statement, read-me file, waiver requests, RCT pre-analysis-plan statements, and code package.
Use when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution. JPART's defining demand is theory — its abstract template asks for the theoretical approach first…
Use when stress-testing NeurIPS experimental evidence, including baselines, ablations, data splits, compute, negative results, real-world use, and claim-to-evidence calibration.
Use when drafting or polishing the prose of a New Media & Society (NM&S) manuscript for an interdisciplinary readership within the ~8,000-word target, using SAGE Harvard referencing. Shapes the writing; it does not generate findings or design the study.
Use when writing the response to a Population and Development Review (PDR, Wiley / Population Council) revise-and-resubmit. PDR review is double-anonymized and cross-field (demographers and development scholars), so the response must convert every expert…
Use when drafting or polishing a Public Administration Review (PAR) manuscript so it reads for scholars AND practitioners, carries strong Evidence for Practice, and fits the limits (≤ 8,000 words incl. abstract/endnotes/references; abstract ≤ 150 words).…
Use when an author is one revision away from submission and needs a venue-parameterized go/no-go scorecard on the actual manuscript: fit, identification, robustness, exhibits, exposition, venue mechanics, data/code, and pre-empted objections. Returns…
Use when running the final pre-submission preflight for World Development (WD) via Elsevier Editorial Manager — double-anonymized formatting, abstract/keyword limits, declarations, data statement, and house style. Final checks; it does not draft content.
Use when sharpening the central legal-scholarly claim and contribution for a The Yale Law Journal (YLJ) piece. It forces a falsifiable, generalist thesis and names the contribution type; it does not search prior literature (use ylj-preemption-check) or build…
Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited…
Use before final submission or on acceptance to assemble and validate the Data-Editor replication package against the target venue's data-and-code policy — master script, pinned environment, README/roadmap, restricted-data plan, and a script-to-exhibit output…
Use after an R&R (or the simulated rehearsal) to turn a referee report into a point-by-point response letter plus a revision plan — editor first, every comment answered, each empirical fix backed by a real re-run via the target pack's skill and the execution…
Use to rehearse peer review before submitting — a calibrated Associate Editor desk-screen plus 2–3 distinct-lens referees for the target venue, adversarially verified and synthesized into a referee report, a decision band, and a prioritized, skill-mapped fix…
Use when the identification strategy is the bottleneck for a 《经济学(季刊)》 (China Economic Quarterly, CEQ) manuscript — either a structural model with credible parameters, or a clean quasi-experiment (DID / IV / RDD / event-study). CEQ is the strictest Chinese…
Source text: Chinese
Use when the identification strategy for a 《中国工业经济》 (China Industrial Economics) manuscript is multi-period / staggered DID or an event study. Mandates parallel-trends event-study plots, placebo tests, and modern heterogeneity-robust estimators…
Source text: Chinese
Use when building or auditing the robustness section of a 《中国工业经济》 (China Industrial Economics) manuscript — the journal's signature "arms race." Drives an exhaustive checklist: alternative measures, dropping competing policies, PSM-DID, changing…
Source text: Chinese
Use when finalizing regression tables and figures for a 《中国工业经济》 (China Industrial Economics) manuscript. Enforces three-line tables, footnote conventions, column discipline, event-study/figure aesthetics — and the journal's hallmark requirement that every…
Source text: Chinese
Use when the empirical identification strategy is the bottleneck for a 《中国农村经济》 manuscript — micro-household / village-level quasi-experimental designs (DID, IV, RDD, PSM). Stress-tests the design and the rural-specific endogeneity before drafting tables.
Source text: Chinese
Use when finalizing regression tables and figures for a 《中国农村经济》 manuscript. Enforces three-line table style, footnote conventions, column-count discipline, and figure aesthetics. 本技能服务于《中国农村经济》(China Rural Economy, CRE)。
Source text: Chinese
Use when the research design is the bottleneck for a 《中国行政管理》 manuscript — choosing and stress-testing a quantitative, qualitative, or normative design and matching it to the research question. Stress-tests the design before drafting exhibits; does not write…
Source text: Chinese
Use when finalizing exhibits for a 《中国行政管理》 manuscript — regression tables, survey measurement tables, qualitative coding tables, and process / mechanism diagrams. Enforces three-line table style, coding-table conventions, and figure discipline.…
Source text: Chinese
Use when the bottleneck is identification and inference for an Econometrica manuscript — identification conditions and asymptotic distribution theory for an estimator, or axioms and existence/uniqueness for a theory model. Stress-tests the formal foundations…
Use when an Econometrica manuscript needs finite-sample evidence and edge-case scrutiny — Monte Carlo design, finite-sample performance, regularity-condition stress tests, and degenerate cases. Designs and audits the simulation evidence; it does not derive…