A skill your agent uses 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…

MITAuto-check passedDevelopment

Install Aeri Theory Model

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeri-theory-model --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/AER-Insights-Skills/skills/aeri-theory-model .claude/skills/aeri-theory-model && 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
aeri-theory-model
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
682 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • A model — a full theory papers argument
  • SKILL.md covers When to trigger, The AER: Insights modeling…, Two cases and What stays in vs. goes to the…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The structural/conceptual scaffolding behind an empirical AER: Insights short-format manuscript — needs to be made minimal

What it does

Aeri Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

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 Development, covering Project scaffolding. 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

  • A model — a full theory papers argument
  • 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

Example prompts

  • “/aeri-theory-model”

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

Aeri Theory Model loads about 1.4k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 682 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
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). 682 words, ~1,400 tokens.

Download SKILL.mdSave it as .claude/skills/aeri-theory-model/SKILL.md (or your agent's skills folder).
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 assumptionsProofs (if long), lemmas, regularity conditions
The one headline result + intuitionGeneralizations, extensions, alternative specifications
The one identifying restriction / counterfactualRobustness of the model, additional counterfactuals
Show full SKILL.md (302 more words)Show less

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

© 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 AER-Insights-Skills/skills/aeri-theory-model of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Aeri Theory Model

What does Aeri Theory Model do?

A skill your agent uses 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…. Aeri Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Aeri Theory Model?

Aeri Theory Model fits situations like: A model — a full theory papers argument; 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.

How do I install Aeri Theory Model in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a claude-code`. Or copy the skill folder (AER-Insights-Skills/skills/aeri-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aeri-theory-model in your project. Claude Code loads it when a task matches its description.

How do I install Aeri Theory Model in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a codex`. Or copy the skill folder (AER-Insights-Skills/skills/aeri-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aeri-theory-model in your project. Codex loads it when a task matches its description.

Can I use Aeri Theory Model 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 aeri-theory-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aeri-theory-model, .gemini/skills/aeri-theory-model, .github/skills/aeri-theory-model and .opencode/skills/aeri-theory-model in your project.

What does Aeri Theory Model need to run?

SKILL.md names no scripts, command-line tools or credentials: Aeri Theory Model is instructions for the agent only.

Does Aeri Theory Model 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 Aeri Theory Model 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 Aeri Theory Model use?

Aeri Theory Model 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 Aeri Theory Model 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 Aeri Theory Model?

Skills that share tags, products or a category with Aeri Theory Model: Nx Generate (nomcopter/react-mosaic, 4.8k stars), Ponytail (DavidObando/gsharp, 565 stars), Run Nx Generator (nrwl/nx, 29k stars) and Conductor Setup (gemini-cli-extensions/conductor, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aeri Theory Model?

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.