Agent skill

cie-tables-figures

Use when finalizing regression tables and figures for a 《中国工业经济》 (China Industrial Economics) manuscript. Enforces three-line tables, footnote conventions, column discipline, event-study/figure aesthetics — and the journal's hallmark requirement that every key table is followed by an economic-magnitude interpretation, not just significance stars.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cie-tables-figures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: China-Industrial-Economics-Skills/skills/cie-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 表格与图形(cie-tables-figures) ## 触发时机 - 主表 8 列以上 / 信息密度过高 - 表后只说"显著为正",不报经济量级 - 表格有竖线、边框、阴影,或直接截图 Stata/R 输出 ## 本刊招牌要求:报量级,不只报显著性 主回归表后**必须有经济含义解读**:系数对应的**实际变化量、占被解释变量均值/标准差的比重**。投稿指南要求"实证结果解释要有深度,与理论分析相呼应",并坚决避免"模型、实证与政策两张皮"。 > 写法示例:"政策使处理组企业研发投入提高 0.045,相当于样本均值的 6.8%(0.045/0.66),经济意义显著。"——**不能只说"在 1% 水平显著为正"**。 ## 三线表规范 ``` 表 3 低碳城市试点对企业全要素生产率的影响 ═══════════════════════════════════════════ (1) (2) (3) 变量 TFP_OP TFP_OP TFP_LP ─────────────────────────────────────────── Treat×Post 0.045*** 0.038*** 0.041*** (0.012) (0.011) (0.013) ─────────────────────────────────────────── 控制变量 否 是 是 企业固定效应 是 是 是 年份固定效应 是 是 是 观测值 52,341 52,341 52,341 R² 0.61 0.67 0.66 ═══════════════════════════════════════════ 注:括号内为聚类于城市层面的稳健标准误; ***、**、* 分别表示 1%、5%、10% 显著水平。 ``` ### 严守约束 - 主表**不超过 6 列**(极端 7 列,绝不 8 列) - **三线表**:顶/底线粗、中线细,**无竖线、无阴影** - 系数下方括号内为**标准误**(不用 t/z 值);显著性统一 `*** ** *` - 控制变量 / 固定效应行写"是 / 否" - 表号 + 表名在表**上方**,注释在表**下方**,注释必含**聚类层次**与显著性定义 - 全文模型、数据、符号(+,-)、星号须与文字解读**一一对应、高度一致**(投稿指南原文) ## 变量定义表 + 数据说明 主回归前应有变量定义表(每变量一行,给**计算公式**而非描述,数据来源**精确到数据库**)与一段数据说明(样本期、筛选标准、缩尾处理、合并键)。禁忌:"数据来源于公开渠道"——必须点名数据库。 ## 图形规范 - 字体宋体 / Times New Roman 9—11pt;黑白 + 1—2 主色(深蓝/暗红);分辨率 ≥ 300dpi - 图号 + 图名在**图下方**,

What's inside
Steps it walks through
  1. 触发时机
  2. 本刊招牌要求:报量级,不只报显著性
  3. 三线表规范
  4. 严守约束
  5. 变量定义表 + 数据说明
  6. 图形规范
  7. 执行桥(StatsPAI / Stata MCP)
  8. 自检清单
  9. 反模式
  10. 本刊图表审稿期待与退稿模式
  11. 微型走查:从主表到量级解读
  12. 审稿人追问 × 本刊语境修法
  13. 校准锚点
  14. 输出格式
More from Awesome-Journal-Skills
All skills →
About this skill
What does the cie-tables-figures skill do?

Use when finalizing regression tables and figures for a 《中国工业经济》 (China Industrial Economics) manuscript. Enforces three-line tables, footnote conventions, column discipline, event-study/figure aesthetics — and the journal's hallmark requirement that every key table is followed by an economic-magnitude interpretation, not just significance stars.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cie-tables-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.

Keep going