Prepare, write, revise, and submit essays to the journal Critical Inquiry — from argument sharpening and theoretical framing to Chicago-style footnoting, word-limit compliance, and Editorial Manager preflight checks.
Use to forge the central argument of a Critical Inquiry (CI) essay into a genuine intervention. CI rewards a bold claim that reorients a conversation in criticism and theory, with stakes that cross disciplines — not a competent reading, a survey, or a method demonstration. Sharpens the thesis and its stakes; it does not fabricate evidence or theory.
Use to format a Critical Inquiry (CI) essay's references and figures to journal standard — Chicago Manual of Style (17th ed.) footnotes numbered consecutively, no works-cited list, with all bibliographical information carried in the notes (and counted toward the word limit), plus images supplied as separate 300 ppi JPEG/TIFF with author-secured permissions. Formats the apparatus; it does not write the argument.
Use to choose and read the objects a Critical Inquiry (CI) essay analyzes — texts, images, artworks, films, performances, events, or cases. In CI the "evidence" is not data but objects read closely through theory; this skill helps select objects that test and earn the intervention and handle images to journal standard. It guides selection and reading; it does not run statistics or build datasets.
Use to understand how Critical Inquiry (CI) evaluates a submission — peer review plus close reading by the editors-in-chief in consultation with the editorial team, the no-simultaneous-submission rule, the commissioned/special-issue routes, and the high ambition bar that defines the journal. Sets expectations and shapes the essay to survive review; it does not contact editors.
Use when revising a Critical Inquiry (CI) essay after a decision and writing the response to readers and editors. CI acceptance typically follows author revisions, and the editors-in-chief read closely, so the revision must strengthen the intervention and the response must address every point without diluting the argument. Structures the revision and response; it does not fabricate new readings or evidence.
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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 ci-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 Journal of Communication (JoC) — the flagship journal of the International Communication Association (ICA), published by Oxford University Press, submitted via Manuscript Central (ScholarOne) under double-anonymous peer review with no submission fee. JoC is a generalist communication venue spanning communication theory and methodology, media effects, political communication, health communication, computational/text-as-data communication, and interpersonal/organizational communication, and it welcomes quantitative (surveys, experiments, content analysis, computational) as well as qualitative and critical/interpretive work. Facts covered include the 35-page main-document limit (including abstract, text, references, tables, figures, and endnotes), the 150-word abstract cap, the 3,000–6,000-word JoC Forum format, APA 7th-edition style, double-anonymous anonymization with third-person self-citation, a required Data Availability Statement, ICA/OUP Open Science Badges for open data / open materials / preregistration, encouraged-but-not-required preregistration, and hybrid open-access options with Research4Life APC waivers. Covers communication-research topic selection, cross-tradition literature positioning, theory building, research design across experiments / surveys / content analysis / computational / qualitative, data-analysis norms, exhibits, APA-style writing, open science and transparency, 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.