Guides authors through preparing a manuscript for the American Political Science Review — from topic selection and theoretical framing to exhibits, formatting, reproducibility packages, and navigating double-anonymous review and R&R responses.
Use when executing and reporting the analysis for an American Political Science Review (APSR) manuscript so it survives expert, double-anonymous review — honest uncertainty, robustness, and triangulation appropriate to quantitative, experimental, or computational work. Guides analysis norms; it does not fabricate results.
Use when positioning an American Political Science Review (APSR) manuscript against the literature so it reads as a discipline-wide contribution. APSR readers span subfields, so the paper must engage the literatures they expect and avoid the desk-rejection trigger of "failure to engage the relevant literatures." Stakes the contribution; it does not write the lit review.
Use when writing the response to an American Political Science Review (APSR) revise-and-resubmit. APSR reserves R&R for papers close to publishable, and decisions weigh strong support from all or nearly all reviewers, so the response must convert each reviewer without alienating the editor. Structures the response letter; it does not fabricate new results.
Use when defending the research design of an American Political Science Review (APSR) manuscript — causal identification for quantitative work, case selection and process tracing for qualitative work, experimental and survey-experimental design, or formal-empirical linkage. APSR judges each tradition on its own terms. Strengthens the design; it does not write code.
Use to understand how the American Political Science Review (APSR) evaluates a manuscript — double-anonymous review, desk-rejection screening (remit / ethics / substance), the reject / accept / revise-and-resubmit decision categories, editor discretion, and the Registered Reports route. Sets expectations and shapes the paper 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 apsr-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 the American Journal of Political Science (AJPS) — the flagship journal of the Midwest Political Science Association (MPSA), published by Wiley, submitted via Editorial Manager under double-blind peer review. AJPS is a generalist, quantitatively leaning political-science venue spanning American politics, comparative politics, international relations, political behavior, institutions, methodology, and formal theory, and it publishes Articles (<= 10,000 words), Research Notes (<= 4,000 words, methodology and meta-analysis only), and Correspondence (<= 4,000 words). The pack's signature focus is the AJPS Replication & Verification Policy: before any accepted article is published, a third-party verifier re-runs the deposited code to confirm it reproduces the numerical results in the main text — quantitative verification now performed by the Cornell Center for Social Sciences (after the Odum Institute contract ended 2023, 待核实) and qualitative verification facilitated by the Qualitative Data Repository (QDR) at Syracuse, with materials deposited to the AJPS Dataverse on the Harvard Dataverse Network. Facts covered include the 150-word abstract cap, the word-count rule (includes notes and table/figure captions, excludes references and online Supporting Information), strict author-anonymizing, the APSA Style Manual or Chicago 18th option, and the 20-page Supporting Information limit. Covers topic selection, literature positioning, theory building, research design, data analysis, exhibits, writing, the verified replication package, the review process, submission preflight, and R&R rebuttals. Bilingual en / zh-CN docs.
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.
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.
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
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.