A skill your agent uses when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and…

MITAuto-check passedResearch & Science

Install Aejmac Tables Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-tables-figures --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AEJ-Macroeconomics-Skills/skills/aejmac-tables-figures .claude/skills/aejmac-tables-figures && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aejmac-tables-figures
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
622 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and…

  • Revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures
  • SKILL.md covers When to trigger, The AEJ: Macro exhibits bar, Figure conventions… and Table conventions, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Model-fit overlays

What it does

Aejmac Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures
  • Model-fit overlays
  • Regression/moment tables — to AEA house standards and macro conventions

Example prompts

  • “/aejmac-tables-figures”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aejmac Tables Figures loads about 1.4k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 622 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 622 words, ~1,395 tokens.

Download SKILL.mdSave it as .claude/skills/aejmac-tables-figures/SKILL.md (or your agent's skills folder).
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.

Tables & Figures (aejmac-tables-figures)

When to trigger

  • IRF figures lack confidence bands, units, or a clear horizon axis
  • Tables are dense, mislabeled, or report coefficients without the macro quantity of interest
  • A model-fit comparison (data vs. simulated moments) is asserted in text but not shown
  • Exhibits do not stand alone — the reader needs the body text to decode them

The AEJ: Macro exhibits bar

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.

Figure conventions (macro-specific)

  • IRFs: plot the response with a shaded confidence band (state the level, e.g., 68% and/or 90%); label the horizon axis in the natural unit (quarters/months/years); mark zero; if sign-restricted, show the identified set / median-target, not a spurious point.
  • Fan charts / forecast bands: show the full predictive distribution where the claim is about uncertainty.
  • Model-fit overlays: plot data vs. model (targeted and untargeted moments) on the same axes; this is the credibility figure for quantitative work.
  • Counterfactual figures: baseline vs. counterfactual paths with uncertainty carried through.
  • Variance decompositions / contribution plots: stacked or grouped, with a clear legend.
  • Vector output (.eps/.pdf) preferred for final files; keep colors legible in grayscale; no chartjunk.

Table conventions

  • Report the economic quantity, not just raw coefficients — e.g., the multiplier, the elasticity, the implied share — with its SE/band.
  • AEA tables conventionally use significance stars; AEJ: Macro accepts them, but the standard error / band must be present and must carry the inference (do not let stars substitute for a reported SE). Note significance levels in the table note.
  • One decisive number per row; align decimals; units in the column header or note.
  • Targeted-vs-untargeted-moment tables: clearly flag which moments were matched.
  • Notes carry: sample, frequency, estimator, inference (HAC/cluster), and what an asterisk means.

Main text vs. online appendix

  • Main text: the decisive IRFs, the headline table, the model-fit figure. AEJ: Macro articles run ~40 pages including exhibits (检索于 2026-06;以官网为准), so exhibits compete for space.
  • Online appendix: full robustness IRFs, additional moments, alternative specifications, derivations.
Show full SKILL.md (236 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp.

  • Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id — one variable definition, one set of numbers, body and appendix in sync.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering (from the result's diagnostics) and states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Checklist

  • Every IRF has a confidence band with its level stated, a labeled horizon axis, and a zero line
  • Sign-restricted responses shown as a set/median-target, not a fake point estimate
  • Model-fit figure (data vs. model, targeted + untargeted) present for quantitative papers
  • Tables report the macro quantity with its SE/band; notes give sample/estimator/inference
  • Significance stars (if used) accompany, not replace, reported SEs
  • Each exhibit is self-contained (decodable without the body text)
  • Decisive exhibits in main text; the rest in the online appendix; figures vector + grayscale-legible

Anti-patterns

  • IRFs with no confidence bands, or bands whose level is never stated
  • Sign-restricted IRFs drawn as a single line, hiding set-identification
  • Tables of raw VAR coefficients with no impulse responses or implied quantity
  • Stars reported but standard errors omitted
  • A model "matches the data" claimed in prose with no overlay figure
  • Exhibits readable only with a magnifying glass after the AEA's two-column typesetting

Output format

【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

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in AEJ-Macroeconomics-Skills/skills/aejmac-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aejmac Tables Figures next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aejmac Tables Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aejmac Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated yesterday
    Research & ScienceAuto-check: notes
  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Questions about Aejmac Tables Figures

What does Aejmac Tables Figures do?

A skill your agent uses when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and…. Aejmac Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Aejmac Tables Figures?

Aejmac Tables Figures fits situations like: revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures; model-fit overlays; regression/moment tables — to AEA house standards and macro conventions.

How do I install Aejmac Tables Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a claude-code`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejmac-tables-figures in your project. Claude Code loads it when a task matches its description.

How do I install Aejmac Tables Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a codex`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejmac-tables-figures in your project. Codex loads it when a task matches its description.

Can I use Aejmac Tables Figures in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-tables-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejmac-tables-figures, .gemini/skills/aejmac-tables-figures, .github/skills/aejmac-tables-figures and .opencode/skills/aejmac-tables-figures in your project.

What does Aejmac Tables Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Aejmac Tables Figures is instructions for the agent only.

Does Aejmac Tables Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aejmac Tables Figures safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Aejmac Tables Figures use?

Aejmac Tables Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aejmac Tables Figures use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Aejmac Tables Figures?

Skills that share tags, products or a category with Aejmac Tables Figures: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aejmac Tables Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.