studies-of-financial-economics
Use when targeting 《金融经济学研究》(Studies of Financial Economics — 广东金融学院主办、双向匿名评审、不收版面费的金融学术双月刊) or deciding whether a Chinese finance/econ manuscript fits this journal. Encodes the journal's fit, framing, fee-free policy, word-count/abstract house style, official採编-system submission re-check, and desk-reject heuristics.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill studies-of-financial-economics --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.
# 《金融经济学研究》投稿(studies-of-financial-economics) ## 期刊定位 《金融经济学研究》由**广东金融学院**主办、广东省教育厅主管,是金融经济学专业学术刊物。覆盖资产定价、公司金融、金融风险、金融发展与金融制度等,偏好有清晰金融机制、规范识别策略的研究。相对央行/监管系统顶刊(《金融研究》《国际金融研究》),它对高校金融经济学选题更包容,但仍要求问题明确、证据扎实、体例规范。 这个 skill 是**定位 / 选刊 / 改写框架**工具,不替代该刊最新官方投稿须知。正式投稿前必须重新核对官网、采编系统或编辑部发布的最新模板。 ## 触发时机 - 用户明确说目标期刊是《金融经济学研究》或 Studies of Financial Economics - 稿件主题接近本刊,但不确定问题意识、方法强度和读者对象是否匹配 - 需要把一篇通用中文经管稿改写成《
What does the studies-of-financial-economics skill do?
Use when targeting 《金融经济学研究》(Studies of Financial Economics — 广东金融学院主办、双向匿名评审、不收版面费的金融学术双月刊) or deciding whether a Chinese finance/econ manuscript fits this journal. Encodes the journal's fit, framing, fee-free policy, word-count/abstract house style, official採编-system submission re-check, and desk-reject heuristics.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill studies-of-financial-economics --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.