Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
› joe-writing-style
joe-writing-style
GitHub用于将计量经济学手稿调整为《Journal of Econometrics》风格，确保摘要精简、引言突出贡献、证明清晰可读，并符合Elsevier排版规范。
Trigger Scenarios
摘要超过250词或掩盖方法论贡献
引言未明确陈述核心进展
证明过程缺乏逻辑引导导致难以阅读
参考文献或数学格式不符合Elsevier/elsarticle规范
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joe-writing-style -g -y
SKILL.md
Frontmatter
{
"name": "joe-writing-style",
"description": "Use to make a Journal of Econometrics (JoE) manuscript read in house style — a precise abstract under 250 words, a contribution-first introduction, legible theorem-and-proof exposition, and Elsevier elsarticle\/[dataset] reference conventions. Late-stage polish; it does not invent results."
}
Writing Style (joe-writing-style)
When to trigger
- The abstract exceeds 250 words or buries the methodological contribution
- The introduction lists what you did but never states the advance plainly
- Proofs are correct but unreadable — no roadmap, lemmas dumped without motivation
- References or math formatting do not follow Elsevier/elsarticle conventions
JoE house style
The Journal of Econometrics publishes mathematically rigorous methodology, and its prose has to make rigor legible. Editors screen before assigning a minimum of two referees, so the abstract and introduction must land the contribution fast. Key house facts to write to:
- Abstract ≤ 250 words, concise and factual; avoid references unless essential, and if used cite author/year in the abstract.
- elsarticle LaTeX document class; Elsevier reference style (numbered or author-year, any CSL-compatible manager). Dataset citations tagged
[dataset]with author/title/repository/version/year/persistent ID. - Initial submission is a single PDF (~40 pages, ≥1.5 spacing, 11pt); write for that length norm rather than a hard word count.
Abstract (≤ 250 words)
- Sentence 1: the econometric problem and why existing methods fail.
- Sentence 2: the proposed estimator/test/result and its key property (weaker assumptions, efficiency, valid inference).
- Sentence 3: the asymptotic guarantee and the Monte Carlo / empirical evidence.
- Keep it factual; no hype, no undefined notation. Spell out any cited reference in full.
Introduction (contribution-first)
- The problem and its stakes for econometric practice.
- What is known and exactly where it falls short (the gap from
joe-literature-positioning). - The contribution, stated as a property, in plain words before any notation.
- A preview of the assumptions, the main theorem, and the finite-sample evidence.
- A short roadmap. Write the introduction last, after theorems and Monte Carlo are settled.
Theorem-and-proof exposition
- State assumptions once, label them, and refer back by label — do not silently re-use.
- Give each theorem a one-line intuition before the formal statement; say what drives the result.
- Provide a proof roadmap (consistency → rate → distribution); relegate routine algebra to an appendix but keep the logical skeleton in view.
- Define every symbol on first use; keep notation consistent across theory, Monte Carlo, and illustration.
Anti-patterns
- A 300-word abstract, or one that states the model but not the contribution
- An introduction that is a related-work list with the advance hidden on page 6
- Proofs with no roadmap; lemmas appearing before the reader knows why
- Inconsistent or undefined notation; reference style that ignores Elsevier/elsarticle conventions
Style execution pass for Journal of Econometrics
Use this as a second-pass capability check. First lock the estimand or theorem, assumptions, asymptotic/simulation evidence, and applied relevance; then test whether the manuscript addresses econometrics reviewers who expect methodological novelty, assumptions, simulation or empirical illustration, and reproducibility.
- Primary move: Rewrite the opening and transitions so the venue-level claim, evidence object, and contribution are visible before technical detail.
- Decision ledger: return
claim / evidence / blocker / next editrows so the next pass can patch the manuscript directly. - Neighbor test: compare against Econometric Theory for proof-first work, JBES for applied statistical methods, Quantitative Economics for economics-theory methods; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
- Verification floor: before submission-ready advice, re-open
resources/official-source-map.mdfor volatile rules and name the one unresolved fact that could change the recommendation.
Output format
【Abstract】≤250 words, states problem + property + evidence? [Y/N]
【Intro】contribution stated as a property before notation? [Y/N]
【Proof exposition】intuition + roadmap + labeled assumptions? [Y/N]
【Notation】defined on first use, consistent throughout? [Y/N]
【References】Elsevier style + [dataset] tags? [Y/N]
【Next step】joe-replication-and-data-policy
Version History
- 1839142 Current 2026-07-05 13:32
