Guides historians through the full manuscript lifecycle for The American Historical Review, from topic selection and historiographical positioning to source criticism, prose polishing, Chicago-style footnoting, pre-submission preflight, and revision response.
Use when turning archival findings into a sustained historical argument for The American Historical Review (AHR). The AHR rewards a clear thesis that earns its claims from evidence while remaining alert to contingency and complexity. Builds the argument and its stakes; it does not gather new sources or fabricate evidence.
Use when formatting citations and notes for an American Historical Review (AHR) manuscript. The AHR follows the Chicago Manual of Style with all references in footnotes/endnotes — no bibliography or works-cited list and no in-text parenthetical citation. Gets the note apparatus right; it does not write the prose or argument.
Use when positioning an American Historical Review (AHR) manuscript within the historiography so it reads as an intervention, not a report. AHR readers are historians across fields who expect you to engage the relevant scholarship and say precisely what you change. Stakes the contribution against prior work; it does not write the literature survey.
Use when choosing and defending an interpretive approach for an American Historical Review (AHR) manuscript — social, cultural, intellectual, political, economic, transnational, global, microhistory, or the history of knowledge. The AHR welcomes many methods judged on their own terms. Sharpens interpretation and scale; it does not impose a single template.
Use to understand how The American Historical Review (AHR) evaluates a manuscript — double-blind anonymous review by at least six scholars, a six-to-eight-month timeline, an 8-10% acceptance rate, and the large commissioned book/media review section. Sets expectations and shapes the article to survive review; it does not contact editors.
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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 ahr-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 36 flagship English-language humanities journals — completing the 'humanities' category that the existing breadth bundles leave thin. Covers the leading venues in history (The American Historical Review, Past & Present, The Journal of Modern History), philosophy (The Philosophical Review, Mind, Noûs, Ethics, Philosophy & Public Affairs), literary studies (PMLA, Critical Inquiry, New Literary History, Representations), classics (The Classical Quarterly, The Journal of Roman Studies), art and architectural history (The Art Bulletin, Art History, October, The Burlington Magazine), religious studies, linguistics (Language, Linguistic Inquiry), and musicology and aesthetics. One self-contained fit-and-house-style skill per journal, plus en-humanities-journal-workflow routing, with argument-, source-, and style-guide discipline appropriate to humanistic scholarship.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.