acr-implications
Use when writing the contribution and implications section for a 《会计研究》 (Accounting Research) manuscript — articulating both the accounting-theory contribution (role of accounting information) and concrete implications for standard-setters, regulators, and audit/reporting practice. Use after results and tables are final.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acr-implications --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.
# 贡献与实务启示（acr-implications） ## 触发时机 - 文末贡献只有"丰富了相关文献" - 启示写成空泛"建议加强监管"四件套，无具体抓手 - 只谈理论不谈准则/监管，或只谈实务不谈理论 - 审稿人问"这对准则制定者/监管者有什么用" ## 本刊要"理论 + 实务"双落点 《会计研究》由中国会计学会主办，实务相关性是其底色。贡献既要说清**会计理论层面**（会计信息/披露/鉴证的作用机理），又要给出**可操作的准则/监管/实务启示**——但实务启示要具体、可落地，不是口号。 ## 理论贡献的写法 - 落到具体认识的推进：提出/修正了对 <某会计机制> 的理解，给出边界条件 - 区分"新数据/新场景"与"新知识"——贡献是后者 - 与 `acr-literature-review` 的缺口呼应，闭环 ## 实务启示的三类对象（各须具体） | 对象 | 弱（口号） | 强（
What does the acr-implications skill do?
Use when writing the contribution and implications section for a 《会计研究》 (Accounting Research) manuscript — articulating both the accounting-theory contribution (role of accounting information) and concrete implications for standard-setters, regulators, and audit/reporting practice. Use after results and tables are final.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acr-implications --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.