Guides researchers through the full workflow of producing a systematic review or meta-analysis for the Review of Educational Research (RER): from scoping and protocol preregistration through systematic search, PRISMA screening, risk-of-bias analysis, and APA 7-compliant writing, with pre-submission checks and revision support.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when testing exhaustiveness, risk-of-bias, heterogeneity, and sensitivity for a Review of Educational Research (RER) review or meta-analysis. Hardens the synthesis against omission and fragility; it does not build the conceptual spine (revedres-organizing-framework) or settle coding reliability and open materials (revedres-transparency-and-reproducibility).
Use when anticipating editor and reviewer expectations, framing the contribution, and positioning scope for a Review of Educational Research (RER) submission. Aligns the review with how RER is refereed; it does not run the submission preflight (revedres-submission) or draft the response to reviewers (revedres-revision).
Use when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis. Builds the documented evidence corpus; it does not impose the conceptual spine (revedres-organizing-framework) or run robustness/risk-of-bias appraisal (revedres-comprehensiveness-and-balance).
Use when turning a screened, coded corpus into an analytic spine that advances theory or policy for a Review of Educational Research (RER) manuscript. Builds the conceptual contribution beyond a tally; it does not run the search (revedres-literature-synthesis) or appraise robustness/risk-of-bias (revedres-comprehensiveness-and-balance).
Use when writing the protocol, fixing scope and eligibility, and (where applicable) preregistering a systematic review or meta-analysis before searching, for a Review of Educational Research (RER) manuscript. Produces the a-priori plan; it does not run the search (revedres-literature-synthesis) or impose the conceptual spine (revedres-organizing-framework).
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
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Sign in to claimnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin review-of-educational-research-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 Educational Research Journal (AERJ) — the flagship journal of the American Educational Research Association (AERA), published by SAGE, submitted via ScholarOne Manuscript Central under masked (anonymous) peer review with no standard submission fee. AERJ spans the whole field of education research across all subfields, levels, and methods, and is organized into two separately edited sections: Social and Institutional Analysis (SIA) — political, cultural, social, economic, and organizational issues in education — and Teaching, Learning, and Human Development (TLHD) — processes and outcomes of teaching, learning, and human development in formal and informal settings. Facts covered include the 100–120-word abstract, the roughly 20–50-page manuscript length (double-spaced, 12-point, 1-inch margins, inclusive of tables/figures/notes/references), APA 7th-edition style, ORCID for the corresponding author, the AERA Standards for Reporting on Empirical Social Science Research (quantitative + qualitative), and the AERA Code of Ethics data-availability expectations. Covers education-research topic selection (including choosing SIA vs TLHD), cross-subfield literature positioning, theory and conceptual frameworks, research design across quantitative / qualitative / mixed methods, data-analysis norms, exhibits, APA-style writing, transparency and data policy, the masked 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.
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.
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.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review