ceq-figures
Use when building or auditing the exhibits of a 《经济学(季刊)》 (China Economic Quarterly, CEQ) manuscript — favoring figures over tables (event-study plots, bin-scatter, model-fit / counterfactual figures) so the main result is legible at a glance, since many readers consume the English abstract plus figures. Use after identification and mechanism are settled.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ceq-figures --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.
# 图表（图优于表）（ceq-figures） ## 触发时机 - 主结果全靠回归表，没有一张能独立讲清的图 - DID/IV/RDD 缺配套诊断图 - 定稿阶段需要把主图打磨到"审稿人扫一眼就懂" ## CEQ 的图表观：图是主角 很多读者只读**英文摘要 + 图**。主结果应能用一张图讲清；表是补充。每张主图须**自洽**：标题、坐标轴、单位、置信带、样本说明齐全，脱离正文也能读懂。 ## 按设计选主图 | 设计 | 必备主图 | |------|----------| | DID / event-study | **事件研究图**：动态系数 + 95% CI，前置系数近零（用现代估计量，见 `ceq-modern-did`） | | RDD | 断点图：bin-scatter + 局部多项式拟合，断点处跳跃可见 | | IV | 第一阶段散点 / reduced-form 关系图 |
What does the ceq-figures skill do?
Use when building or auditing the exhibits of a 《经济学(季刊)》 (China Economic Quarterly, CEQ) manuscript — favoring figures over tables (event-study plots, bin-scatter, model-fit / counterfactual figures) so the main result is legible at a glance, since many readers consume the English abstract plus figures. Use after identification and mechanism are settled.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ceq-figures --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.