acr-fit-positioning
Use when judging whether a manuscript's landing point is an ACCOUNTING issue (accounting information / disclosure / audit / standards) versus a corporate-finance mechanism, before drafting for 《会计研究》 (Accounting Research). Use this to decide fit and to re-route finance-mechanism papers to a finance journal before any other acr-* skill.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acr-fit-positioning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 会计 vs 金融定位判断（acr-fit-positioning） ## 触发时机 - 拿不准稿子是会计议题还是公司金融议题 - 用上市公司数据跑了回归，但落点说不清是"会计信息"还是"定价/融资" - 治理题，不确定该往会计信息环境还是管理学理论靠 - 投稿前最后确认对不对口（本刊是 CSSCI 唯一会计刊，定位极清晰） ## 核心判据：落点在哪一端？ 《会计研究》的稿子，因变量或机制核心必须落在**会计信息的生产、披露与鉴证**这一端。判断标准是问"这篇真正在解释/改变的是什么"。 | 维度 | 会计议题（本刊对口） | 金融机理（改投金融研究） | |------|---------------------|--------------------------| | 因变量核心 | 盈余质量、应计、稳健性、可比性、披露质量、审计意见/费用、内控缺陷 | 股票收益、融资成本/约束、
What does the acr-fit-positioning skill do?
Use when judging whether a manuscript's landing point is an ACCOUNTING issue (accounting information / disclosure / audit / standards) versus a corporate-finance mechanism, before drafting for 《会计研究》 (Accounting Research). Use this to decide fit and to re-route finance-mechanism papers to a finance journal before any other acr-* skill.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acr-fit-positioning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.