Guides authors through the full lifecycle of preparing a manuscript for Environmental Science & Technology (ACS), from topic selection and experimental design through drafting, figure/TOC graphic creation, Supporting Information assembly, and pre-submission checks in ACS Paragon Plus.
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Use when assembling the Supporting Information (SI), data-availability statement, and public-data/code deposit for an Environmental Science & Technology (ES&T) manuscript. ES&T expects materials, data, and protocols to be deposited in public databases and a data-availability statement, with SI submitted alongside the manuscript. It guides reporting and deposit; it does not generate the underlying data.
Use to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review, expert review by typically three reviewers, and editor-led decisions. It sets expectations and shapes the paper to survive review; it does not contact editors.
Use when writing the response to an Environmental Science & Technology (ES&T) revision decision. ES&T decisions are editor-led on the back of typically three expert reviews, so the response must convert each reviewer with evidence and QA/QC while keeping the editor confident. It structures the response letter and revision; it does not fabricate new results.
Use when designing experiments, sampling campaigns, or modeling studies for Environmental Science & Technology (ES&T) so the design survives expert review — environmental relevance, controls, replication, mass/energy balances, and a QA/QC plan built in from the start. It guides design decisions; it does not run the study.
Use when running the final pre-submission preflight for Environmental Science & Technology (ES&T) via the ACS Publishing Center / ACS Paragon Plus — article-type and word-limit checks, the mandatory TOC graphic, Supporting Information, data-availability statement, ACS style, ORCID, and ethics/COI declarations. Final checks; it does not draft content.
English | 简体中文
横跨经管社科 · 人文社科 · 自然科学 · 临床医学 · AI 计算机等多个主流学科,为每一本期刊 / 每一个会议单独编码它的投稿工作流。
🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🗺 路线图 · 🌐 English
先看期刊,再进 Pack。点击任意封面即可进入对应的期刊 Skill 包。
🆕 四个最新学科广度合集 —— 工程技术 40 · 农业环境 30 · 临床医学 30 · 英文人文 36;点击封面进入合集页。
其他合集 · 中文体育学 · 12 本 CSSCI 体育学来源刊
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin est-skillsAI-first computer-science conference skill stack: 155 conference fit-and-submission profiles plus a CS/AI router. Covers top AI/ML, data mining, vision, NLP, robotics, HCI, systems, security, software engineering, programming languages, databases, and theory venues, with current-cycle CFP and author-kit re-check discipline.
Agent skill stack for submitting to 《经济研究》 (Economic Research Journal), the top economics journal in China. Eighteen skills across the manuscript lifecycle: China-context topic selection, introduction, bilingual literature review, theory & hypotheses, data & sample, modern causal identification (DID / IV / RDD / DML with heterogeneity-robust estimators), mechanism analysis (post-江艇 2022 paradigm), heterogeneity, robustness, three-line tables, policy implications, abstract, house style, reviewer-lens self-audit, reproducibility, submission preflight, and R&R rebuttals. Ships a runnable Stata + Python code library. Bilingual zh-CN / en docs.
Agent skill stack for articles and proposals targeted at the Journal of Economic Perspectives (JEP) — the open-access, non-technical synthesis journal of the American Economic Association, founded 1987, sister to the Journal of Economic Literature (technical surveys of record) and the AER/AEJ research journals. JEP is largely invited and organized in symposia, and rewards accessible writing readable by 90 percent of AEA members, not new identification or replication. Twelve role skills cover the JEP lifecycle: workflow routing, topic selection for a broad audience, the 2–5 page proposal and symposium pitch ([email protected]), narrative arc for a general economist reader, plain-language translation of technical results, presenting evidence with minimal equations, exhibits a non-specialist can read, the JEP voice, balance and objectivity over advocacy, working with the managing-editor-led editorial team, the pre-submission preflight, and revising for accessibility and balance. Bilingual en / zh-CN docs.
Agent skill stack for submitting to 《会计研究》 (Accounting Research) — the flagship journal of the Accounting Society of China and the only accounting title among CSSCI sources (monthly, founded 1980, ISSN 1003-2886, CN 11-1078/F). Built around the journal's defining bar: archival capital-market empirics with accurate institutional / standard-setting detail and an information mechanism, distinguished from generic corporate finance. Covers fit positioning, topic selection, literature review, institutional/standards background, accounting measurement (discretionary accruals, conservatism, disclosure indices), quasi-experimental identification, information mechanism, robustness, tables/figures, standard-setter/regulator implications, submission preflight, and R&R rebuttals.
Agent skill stack for manuscripts targeted at the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, and finance-relevant quantitative methods), published by Cambridge University Press for the Michael G. Foster School of Business at the University of Washington. Built around the JFQA realities: submission via Editorial Manager with a text-searchable PDF, a $350 fee (only $275 refunded if not sent to a reviewer), double-anonymous review, a strict one-paragraph / 100-word abstract cap, prescriptive 8.5x11 / 1-inch / 12-pt Times New Roman double-spaced formatting, a one-year resubmission ban for undisclosed prior rejections, and the JFQA Code Sharing Policy with a dedicated JFQA Dataverse at the Harvard Dataverse. Covers topic fit, literature positioning, causal/identification design for finance, robustness, tables and figures, house style, the code/data archive, referee strategy, submission preflight, and R&R rebuttals. Bilingual en / zh-CN docs; Stata / R / Python conventions.
Agent skill stack for manuscripts targeted at Global Environmental Change (GEC) — the leading international journal on the human and policy dimensions of global environmental change, published by Elsevier (ISSN 0959-3780) and submitted via Editorial Manager under double-blind peer review. GEC is interdisciplinary and social-science-leading: it publishes theoretically and empirically rigorous work on the social drivers and consequences of environmental change and on the governance, policy, and behavioral processes that address it — across climate adaptation, vulnerability, environmental governance, socio-ecological systems, sustainability transitions, food and water systems, land use, oceans and coasts, and urban change. Facts covered include the human-and-policy-dimensions scope, the requirement of a significant social-science component, Research Articles up to ~8,000 words, an abstract up to ~250 words, 3-5 Highlights of ~85 characters each, the Elsevier research-data / Data Availability Statement policy, and methodological pluralism spanning quantitative, qualitative, and mixed methods. Covers interdisciplinary topic fit, cross-literature positioning, conceptual-framework building, research design across methods, analysis norms, exhibits, policy-relevant academic writing, real-world and policy implications, the review process, submission preflight, and revision and rebuttal. Bilingual en / zh-CN docs.
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