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aeri-theory-model

Use when a model — a full theory paper's argument or the structural/conceptual scaffolding behind an empirical AER: Insights short-format manuscript — needs to be made minimal, so it carries the single insight in a few pages.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Tags

Our assessment of aeri-theory-model

aeri-theory-model scores 85/100 on our quality scale, 2248th of 4,610 Development & Engineering skills we index (top 49%).

Its SKILL.md is 5.5 KB long, well organised into 12 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-theory-model 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-theory-model compared with similar skills

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

SkillScoreStarsUpdatedFormat
aeri-theory-model (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-theory-model?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model. The install tabs above show the steps for each supported agent.
Which AI agents does aeri-theory-model 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-theory-model 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-theory-model still maintained?
The repository was last updated 18 days ago, so aeri-theory-model is actively maintained.

name: aeri-theory-model description: Use when a model — a full theory paper's argument or the structural/conceptual scaffolding behind an empirical AER: Insights short-format manuscript — needs to be made minimal, so it carries the single insight in a few pages. Keeps only what the insight requires; it does not develop a general framework.

Theory / Model — Minimal to Carry One Insight (aeri-theory-model)

When to trigger

  • A theory paper's single result (a theorem, an impossibility, a sharp comparative static) needs a tight model
  • An empirical paper carries a structural or conceptual model that has grown beyond what the result needs
  • The model section is eating the word budget that the result and identification need
  • A referee might ask "why all this machinery for one point?"

The AER: Insights modeling discipline

AER: Insights rewards a single, surprising, clean theoretical or modeling insight delivered with the smallest model that produces it. The question is never "is the framework general?" but "what is the most economical model whose one result is important and surprising?" Generality, extensions, and robustness of the modeling go to the Supplemental Appendix; the main text states the assumptions, the one key result, and the intuition. A theory paper here is short and pointed, the opposite of a foundational framework paper for AER or a field journal.

Two cases

Case 1: The paper IS the theory (a theory short paper)

  • One headline result. A single theorem, impossibility, or characterization that overturns or sharply refines a believed claim. State it early, prove it economically.
  • Minimal assumptions. Strip to the assumptions the result actually needs; flag which are substantive vs. technical.
  • Intuition before proof. Give the one-paragraph mechanism that makes the result memorable; full proofs to the appendix if long.
  • Surprise stated. Name the prior intuition the result violates — that is why it is an AER: Insights paper, not a field-theory note.

Case 2: The model SUPPORTS an empirical insight

  • Justify the model's job. It exists to deliver one object (an identifying restriction, a counterfactual, a structural parameter the data identify). Cut anything not in service of that.
  • Minimal structure for identification. Tie the key parameter to a data moment (aeri-identification Branch C); keep solution/estimation detail in the appendix.
  • One counterfactual, if any. If the structure delivers a counterfactual, report the single one that matters with its uncertainty; alternatives to the appendix.

What stays in vs. goes to the appendix

| In the main text (few words) | Supplemental Appendix | |------------------------------|------------------------| | Setup + key assumptions | Proofs (if long), lemmas, regularity conditions | | The one headline result + intuition | Generalizations, extensions, alternative specifications | | The one identifying restriction / counterfactual | Robustness of the model, additional counterfactuals |

Word budget for the model section

The model competes with identification, result, and discussion for the same ≤7,000-word (minus exhibits) budget (aeri-writing-style). A useful rule: the in-text model should be sketchable on a single page — assumptions, the one result, the intuition. If the derivation cannot be sketched that compactly, the full version belongs in the Supplemental Appendix with only the statement and intuition in-text. A theorem environment plus a one-paragraph proof sketch is often the right in-text footprint for a theory short paper.

Worked vignette (illustrative)

A fictional theory paper proves that, under a mild condition, certification fee structure is irrelevant to information transmission. The AER: Insights version states the model in half a page (a sender, a certifier, two fee regimes), states the irrelevance result, and gives the one-paragraph intuition (the certifier's incentive constraint is unchanged by who pays). The full proof, the regularity conditions, and two generalizations go to the Supplemental Appendix. The surprise — that a policy lever people assume matters does not — is what makes it a single-insight AER: Insights paper rather than a general mechanism-design framework for a field journal.

Checklist

  • [ ] The model delivers one headline result / object, stated early
  • [ ] Assumptions stripped to what the result needs; substantive vs. technical flagged
  • [ ] One-paragraph intuition present; long proofs/derivations to the appendix
  • [ ] (Theory) the prior intuition the result violates is named
  • [ ] (Empirical support) the model's single job is explicit; extras cut
  • [ ] Model section does not crowd out the result and its identification within the cap

Anti-patterns

  • A general framework with the AER: Insights result as a corollary buried inside
  • Extensions and generalizations kept in-text "for completeness"
  • A model more elaborate than the single insight requires
  • Proofs in the main text that could sit in the appendix without loss
  • (Empirical) structural machinery whose only output the reduced form already gives

Output format

【Case】theory-is-the-paper / model-supports-empirics
【Headline result/object】<one theorem / restriction / counterfactual>
【Minimal assumptions】<the few that matter; substantive vs technical>
【Intuition】one paragraph
【To the appendix】proofs / extensions / generalizations / robustness
【Next step】aeri-robustness

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