aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regression/moment tables — to AEA house standards and macro conventions. Formatting and clarity; it
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a windsurf -y
name: aejmac-tables-figures description: Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regression/moment tables — to AEA house standards and macro conventions. Formatting and clarity; it does not generate the underlying estimates.
AEJ: Macro follows **AEA house style** (applied by the AEA at copyediting; the submitted PDF need not pre-conform, but clean exhibits speed review). Macro adds its own conventions: the **impulse-response function** is the workhorse figure, and the **headline quantity** (multiplier, peak response, welfare cost, share of variance) must be readable off the exhibit. Every exhibit should be **self-contained**: title, axis labels with units and horizon, sample, and the inference object (bands / SE) in the note.
Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: [`execution-with-mcp`](../../../shared-resources/empirical-methods/execution-with-mcp.md).
`result_id` — one variable definition, one set of numbers, body and appendix in sync.
axis units and the SE/clustering note baked in.
states the magnitude in interpretable units.
See a full fitted-result → exhibit chain in the [JF execution walkthrough](../../../Journal-of-Finance-Skills/resources/worked-examples/02-execution-walkthrough.md).
【Exhibit inventory】IRFs / fan charts / model-fit / counterfactual / tables 【IRF compliance】bands+level / horizon axis / zero line / set-vs-point? [Y/N] 【Quantity legibility】headline number readable off each exhibit? [Y/N] 【Table compliance】SE/band present; notes complete; stars don't replace SEs? [Y/N] 【Main vs. appendix split】decisive in text, rest in online appendix? [Y/N] 【Next step】aejmac-writing-style
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
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