cte-policy-implication
Use when drafting or strengthening the policy-implications section of a 《财贸经济》 manuscript. Frames implications at the significance / institutional level but anchored in concrete Chinese fiscal / financial / trade policy levers — not the empty "加强完善推进" formula. 本技能服务于《财贸经济》(Finance & Trade Economics, CTE)。
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cte-policy-implication --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.
# 政策含义（cte-policy-implication） ## 触发时机 - 文末政策建议只有"建议政府重视财税 / 金融改革" - 政策建议是"加强、完善、推进、深化"四件套套话（本刊退稿雷区"政策含义空泛"） - 审稿人指出"政策含义太薄 / 与本文证据脱节" ## 本刊政策含义的定位 《财贸经济》是财经政策导向的顶级刊，政策含义分量重，但**分量重 ≠ 写成部委备忘录**。定位是**"意义层 + 具体政策抓手"**：既要有对财税体制 / 金融改革 / 扩内需等的制度含义，又要**落到具体的政策对象与环节**（哪一类主体、哪一个政策工具、哪一档参数），与本文实证证据严格挂钩。 | 维度 | 合格（本刊偏好） | 不合格 | |---|---|---| | 层面 | 制度 / 原理层，但点明财经政策对象 | 笼统"政府应重视" | | 落点 | 哪类主体 / 哪个工具 / 哪档参数
What does the cte-policy-implication skill do?
Use when drafting or strengthening the policy-implications section of a 《财贸经济》 manuscript. Frames implications at the significance / institutional level but anchored in concrete Chinese fiscal / financial / trade policy levers — not the empty "加强完善推进" formula. 本技能服务于《财贸经济》(Finance & Trade Economics, CTE)。
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cte-policy-implication --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.