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.
NewMaintained
Automatic
◆Writing & Editing pack
Last verified 8/15/2026
What it changes
Passed 22 of 25 test cases with the skill, and 22 of 25 without it.
Without skill88%
With skill88%
Checks it passed that the model alone missed
Recommends resampling the monthly series to quarterly frequency using resample('Q') prior to merging.
1 fixed21 passed either way2 still failing1 broke
Pass-rate lift
0 pp
Tokens
+28%
Agent turns
0%
Response time
-29%
Model gemini-3.6-flashMeasured 8/15/2026v122 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
I am merging quarterly FRED macroeconomic data with monthly survey data in Pandas. My code uses pd.merge_asof but the datetime indices are mismatched. How should I resample and align quarterly and monthly macroeconomic series in Python?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends resampling the monthly series to quarterly frequency using resample('Q') prior to merging.
Missed
Passed
Explains sorting the datetime index before calling pd.merge_asof.
Passed
Passed
case-25 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md77 linessingle file
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.
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.
Use when building tables and figures for an American Educational Research Journal (AERJ) manuscript. Exhibits must be self-contained, accessible, and formatted to APA 7th edition, and they must be anonymized for masked review. Improves exhibits; it does not generate data.