Plan, write, and submit law-review articles for Harvard Law Review using HLR’s distinctive student-edited process: structure arguments in doctrine-theory-prescription arc, run preemption checks across legal databases, manage Bluebook footnotes and cite-check readiness, time submissions via Scholastica with expedite strategies, and navigate the revision cycle from substantive editing through proof review.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when organizing the body of a Harvard Law Review (HLR) piece along the doctrine to theory to normative-prescription arc that legal scholarship rewards. Structures the argument and its internal logic; it does not forge the thesis (hlr-thesis-and-contribution) or format the citations (hlr-sources-and-bluebook).
Use when building and stress-testing the heavy footnote apparatus of a Harvard Law Review (HLR) piece so it survives the student-editor cite-check / source-pull. Builds and audits the apparatus for pull-readiness; it does not set Bluebook form per citation (hlr-sources-and-bluebook) or manage the editor relationship (hlr-student-editor-review).
Use when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March / August seasons, with the Harvard Law Review (HLR) as a top target. Plans placement and timing; it does not run the final upload preflight (hlr-submission).
Use when verifying that a Harvard Law Review (HLR) argument has not already been made — the law-review "preemption check" run across SSRN, Westlaw/Lexis, HeinOnline, and Google Scholar BEFORE drafting. Confirms originality and refines the claim; it does not draft the thesis (hlr-thesis-and-contribution) or the literature engagement in the body.
Use when working through the Harvard Law Review (HLR) post-acceptance editing cycle — successive substantive and technical edit rounds, responding to editor markups, and page proofs to publication. Drives the edit cycle to completion; it does not manage the offer/expedite phase (hlr-placement-strategy) or the first editor handshake (hlr-student-editor-review).
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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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Sign in to claimnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin harvard-law-review-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.
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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.
An opinionated agent skill stack for legal scholarship aimed at The Yale Law Journal (YLJ), the student-edited flagship law review at Yale Law School. Twelve skills cover the law-review lifecycle: thesis and contribution, preemption checking, doctrine-to-normative argument structure, Bluebook footnote apparatus, multi-submission placement and expedite strategy, the student-editor review and source-pull, and the intensive edit cycle plus the online YLJ Forum.
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.
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
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.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.