Prepare and format manuscripts for submission to the American Journal of Sociology, covering topic selection, literature positioning, theory building, research design, data analysis, exhibits, house-style writing, data transparency, and the double-blind review process via Editorial Manager.
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Use when planning or auditing the analysis of an American Journal of Sociology (AJS) manuscript so the evidence credibly supports the theoretical claim. Covers analysis norms, uncertainty, robustness, and triangulation across quantitative, comparative-historical, and ethnographic work. Improves the analysis chain; it does not fabricate results.
Use when handling data documentation, sharing, and confidentiality for an American Journal of Sociology (AJS) manuscript. AJS does NOT advertise a mandatory editor-verified replication package like APSR/AJPS; document thoroughly, share what you ethically can, and verify the current policy. Prepares documentation; it does not over-state requirements.
Use when positioning an American Journal of Sociology (AJS) manuscript within the literature so it reads as in dialogue with current sociology. AJS reviewers are assigned by readers who locate the paper's substantive area and method, and the journal prizes engagement with live theoretical debates. Maps the conversation; it does not write the literature review.
Use when responding to an American Journal of Sociology (AJS) decision — an R&R response letter to multiple double-blind reviewers and the editor, or an author Reply to a published Comment in AJS's Comment-and-Reply tradition. Structures a persuasive, evidence-based response; it does not fabricate results or contact editors.
Use when defending the research design of an American Journal of Sociology (AJS) manuscript on its own methodological terms — quantitative, comparative-historical, ethnographic, network, or formal. AJS judges each kind of work by the standards of its tradition; the design must support the theoretical claim. Defends the design; it does not run the analysis.
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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
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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 Sociological Review (ASR) — the flagship general journal of the American Sociological Association (ASA), published by SAGE, submitted through Sage Track (ScholarOne Manuscript Central) under masked (anonymous) peer review. ASR carries a $25 non-refundable manuscript processing fee (waived for ASA student members), caps Articles at 15,000 words including text, references, and footnotes (tables and figures excluded), caps Comments/Replies at 3,000 words, requires a 150-200 word non-identifying abstract, uses the ASA Style Guide, and follows the ASA data-sharing policy (data shared after a project's completion or major publications, with confidentiality and proprietary exemptions). ASR is methodologically broad — quantitative stratification and demography, comparative-historical sociology, ethnography and interviews, social networks, and computational sociology. Covers sociological topic selection, literature positioning, theory building, research design across methods, data analysis, exhibits, ASA-style writing, data and transparency norms, the masked review process, Sage Track 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.