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aeri-topic-selection

Use when deciding whether a project is the ONE crisp, important, well-identified insight that an American Economic Review: Insights (AER: Insights) short-format manuscript requires, rather than a multi-result paper for AER or a field paper for the AEJ family.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-topic-selection

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Our assessment of aeri-topic-selection

aeri-topic-selection scores 85/100 on our quality scale, 2249th of 4,610 Development & Engineering skills we index (top 49%).

Its SKILL.md is 5.8 KB long, well organised into 11 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aeri-topic-selection is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

aeri-topic-selection compared with similar skills

All 4 of these similar skills score higher than aeri-topic-selection; compare them before choosing.

SkillScoreStarsUpdatedFormat
aeri-topic-selection (this skill)by brycewang-stanford851.2k18d agoSKILL.md
ai-job-searchby MadsLorentzen10044.8ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install aeri-topic-selection?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-topic-selection. The install tabs above show the steps for each supported agent.
Which AI agents does aeri-topic-selection work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is aeri-topic-selection safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is aeri-topic-selection still maintained?
The repository was last updated 18 days ago, so aeri-topic-selection is actively maintained.

name: aeri-topic-selection description: Use when deciding whether a project is the ONE crisp, important, well-identified insight that an American Economic Review: Insights (AER: Insights) short-format manuscript requires, rather than a multi-result paper for AER or a field paper for the AEJ family. Tests single-insight fit; it does not run the analysis.

Topic Selection — Single-Insight Fit (aeri-topic-selection)

When to trigger

  • A project has a strong main result but also two or three secondary results
  • Unsure whether to send to AER: Insights, AER, or an AEJ field journal
  • The draft is creeping past the word cap because there is more than one idea
  • A result feels surprising and clean but you are unsure it is "important enough"

The AER: Insights bar: one idea, AER-level importance, short

AER: Insights publishes short, self-contained papers built around a single important, well-executed idea. The decision is not "is this good?" but "is there exactly ONE crisp, surprising, well-identified insight that can stand alone in a short paper at AER-level importance?" Three filters:

  1. Single-insight test. State the paper in one sentence with one headline object (one estimate, one theorem, one fact, one method-changes-the-answer result). If you need "and" to describe the contribution, you likely have an AER paper or two AER: Insights papers, not one.
  2. Importance test. The single insight must clear AER-level general interest — a non-specialist economist should care. AER: Insights is short, not minor; a small or incremental result is a reject regardless of length.
  3. Self-containment test. The whole argument — setup, identification, headline result, the one or two checks that matter — must fit in ≤7,000 words (minus 200 per exhibit, ≤5 exhibits) with everything else in the online appendix. If the core argument cannot be made short, it is not an AER: Insights paper.

Where it goes if it is NOT AER: Insights

| Symptom | Better venue | |---------|--------------| | Multiple inter-dependent results that need each other | AER (long, multi-result flagship) | | One result but field-specific, not general interest | AEJ: Applied / Micro / Macro / Policy | | Incremental / a robustness note on existing work | a field journal or a comment | | Pure methods with no substantive payoff in a short paper | a methods/econometrics journal |

Sharpening a candidate into a single insight

  • Pick the headline. Of the results you have, which ONE is most surprising and most cleanly identified? Make that the paper; demote the rest.
  • Cut, do not summarize. Secondary results become appendix material or a future paper — not a compressed in-text paragraph.
  • Name the surprise. AER: Insights rewards a result that overturns or sharply refines a prior belief; write the prior you are correcting.
  • Confirm identification early (aeri-identification) — a clean insight with a shaky design is not publishable short, because there is no room to defend a weak design.

Common AER: Insights archetypes (and what makes each "one insight")

| Archetype | The single insight is… | Failure mode | |-----------|------------------------|--------------| | One clean causal estimate | a single headline effect from a credible design | reporting every heterogeneity split in-text | | A striking new fact / measurement | one important fact a non-specialist did not know | a descriptive paper with no single takeaway | | A sharp theory result | one surprising theorem / impossibility | a general framework with the result as a corollary | | A method that flips an answer | the substantive answer it changes, in few pages | the method shown without a substantive payoff |

Worked vignette (illustrative)

A fictional project has (a) a clean RCT effect of posted wages on women's applications, (b) a heterogeneity split by occupation, and (c) a structural extension on wage offers. The AER: Insights paper is (a) alone — one surprising, general-interest, cleanly identified effect. (b) and (c) go to the Supplemental Appendix or a separate paper. Compressing all three into one short paper would be a "mini-AER" and likely a reject; the discipline is to make (a) the entire paper and defend it superbly in few pages.

Going-or-not-going decision

If you cannot pass all three filters — single insight, AER-level importance, self-containment — the honest move is to route elsewhere (AER for multi-result, an AEJ for field interest) rather than force-fit. The fast, no-R&R process (aeri-referee-strategy) punishes a borderline fit with a quick reject.

Checklist

  • [ ] The paper is stated in one sentence with a single headline object
  • [ ] The insight clears AER-level general-interest importance (not just length-appropriate)
  • [ ] A clear prior belief is named that the result overturns or sharply refines
  • [ ] The full argument plausibly fits the cap with secondary material in the appendix
  • [ ] Venue checked vs. AER (multi-result) and AEJ (field) — AER: Insights chosen deliberately
  • [ ] Identification is clean enough to defend in a short paper

Anti-patterns

  • A "mini-AER": one main result plus several supporting results kept in-text
  • A correct but incremental result pitched as short-because-small
  • A field-interest result with no general-interest hook
  • Splitting one idea across two thin papers, or fusing two ideas into one over-cap paper
  • Choosing AER: Insights for speed when the idea genuinely needs AER's length

Output format

【One-sentence insight】<single headline object>
【Importance】why a non-specialist cares (general interest, AER-level)
【Prior overturned】<belief the result corrects>
【Fits short format?】core argument under cap, rest to appendix? [Y/N]
【Venue check】AER: Insights vs AER vs AEJ — chosen because […]
【Next step】aeri-literature-positioning

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions