Agent skill

Restat Topic Selection

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J.

MITAuto-check passedResearch & Science

Install Restat Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-topic-selection -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-topic-selection --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/Review-of-Economics-and-Statistics-Skills/skills/restat-topic-selection .claude/skills/restat-topic-selection && 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
restat-topic-selection
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
620 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J.

  • Deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J
  • SKILL.md covers When to trigger, The REStat fit bar, Fit decision table and The one-sentence test, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Econometrics and empirical research

What it does

Restat Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Econometrics / a field journal, and sharpening the question to REStat's empirical-and-measurement bar. Decides venue fit and frames the question; it does not run the analysis.

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, covering Econometrics and empirical research and Statistics. 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

  • Deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J
  • Tasks that involve Econometrics and empirical research
  • Tasks that involve Statistics

Example prompts

  • “/restat-topic-selection”

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

Restat Topic Selection loads about 1.4k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 620 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). 620 words, ~1,350 tokens.

Download SKILL.mdSave it as .claude/skills/restat-topic-selection/SKILL.md (or your agent's skills folder).
name
restat-topic-selection
description
Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Econometrics / a field journal, and sharpening the question to REStat's empirical-and-measurement bar. Decides venue fit and frames the question; it does not run the analysis.

Topic Selection & Venue Fit (restat-topic-selection)

When to trigger

  • A project is between venues: REStat vs AER / AEJ:Applied vs J. Econometrics vs a field journal
  • The question is interesting but you cannot say why it belongs at REStat specifically
  • The contribution is a method but you are unsure REStat (applied, not methods-development) is the home
  • You have a clean dataset / measurement advance and need to frame it as a REStat question

The REStat fit bar

REStat publishes applied economics and applied econometrics with a long measurement tradition: it wants a substantive economic question answered with credible identification or a careful measurement / data contribution that moves an applied literature. It is empirical-first and broad across fields (labor, public, development, trade, IO, health, environment, urban, macro-empirics), wider than a field journal but more specialized than AER. Two REStat sweet spots that distinguish it from siblings: (1) a clean causal estimate of a parameter an applied literature cares about; (2) a measurement or methods-applied advance — a new index, a better-measured construct, a corrected bias, an estimator put to serious applied use — where the application, not the theorem, is the point.

Fit decision table

Your projectBetter homeWhy
Credible causal estimate of broad applied interest, careful measurementREStatThe target
Agenda-setting, general-interest, longer, field-definingAERREStat takes more specialized applied work, often shorter
Identification-driven applied micro of broad interestAEJ: Applied (close sibling)Overlaps heavily; REStat leans more on measurement + applied econometrics
A new estimator with proofs; method is the contributionJ. Econometrics / EconometricaREStat is applied — methods must be applied, not developed for their own sake
Sub-field-internal contribution (JOLE / JPubE / JDE)Field journalREStat wants wider applied readership
A short, sharp empirical resultREStat Short Paper (≤6000 words, ≤5 exhibits; source map refreshed 2026-06-20)REStat has a short-format track for compact contributions

The one-sentence test

Write the contribution in one sentence of the form: "We measure/identify [parameter/object] in [setting] using [design/data], and find [estimate], which matters for [applied question]." If the sentence is really "we develop a new estimator and prove its properties," you are at the wrong journal. If it is "we provide a better-measured [X] and show it changes [applied conclusion]," you are squarely in REStat's measurement tradition.

Show full SKILL.md (253 more words)Show less

Checklist

  • The economic question is applied, substantive, and stated in one sentence
  • The contribution is identification or measurement — not a free-standing method
  • You can name the closest 3–5 papers and what you add (hand to restat-literature-positioning)
  • You have decided Article vs Short Paper (length/exhibit budget)
  • Sibling check passed: not better at AER (general-interest) or J. Econometrics (method-first)
  • If the contribution is measurement, the construct's validity and its applied payoff are both clear

Anti-patterns

  • Pitching a new estimator as the headline contribution (that is J. Econometrics, not REStat)
  • A clean estimate with no applied stakes — "identified but uninteresting"
  • A measurement contribution with no applied conclusion that changes
  • Assuming REStat = AEJ:Applied exactly; REStat weights measurement and applied econometrics more
  • Framing as field-internal when the applied parameter has broad interest (sells REStat short)

Worked vignette: a measurement paper finding its home (illustrative)

An author has built a new county-level index of local labor-market tightness from job-posting data and shows it predicts wage growth. Pitched as "a new index," it reads as a data note with no clear home. Re-framed for REStat, the contribution becomes: "We measure local labor-market tightness with less error than the vacancy-to-unemployment proxy, and show that correcting this measurement reverses the estimated slope of the wage curve." Now the measurement advance changes an applied conclusion — squarely REStat's tradition, and stronger than either a bare index (a data note) or a new estimator (J. Econometrics). The same project would be undersold as field-internal at a labor journal and too narrow for AER.

Output format

【Venue verdict】REStat (Article / Short Paper) | redirect to: [AER / AEJ:Applied / J.Econometrics / field]
【One-sentence contribution】measure/identify [object] in [setting] via [design] → [estimate] → matters for [question]
【Contribution type】identification | measurement | applied-econometrics
【Closest prior work】[3–5 papers] (→ restat-literature-positioning)
【Length track】Article | Short Paper (≤6000 words, ≤5 exhibits)
【Next step】restat-literature-positioning

© 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 Review-of-Economics-and-Statistics-Skills/skills/restat-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Restat Topic Selection 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.

Restat Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Restat Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Phack Polyglotbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.1kAutomated safety check: PassCustom licence
Stata Analystmajiayu000/claude-skill-registry6661 repos~2kAutomated safety check: PassMIT
Panel Data Analystbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.3kAutomated safety check: PassCustom licence
Jbes Literature Positioningfranklee16/academic-research-skills2231 repos~924Automated safety check: PassNone
Ectj Topic Selectionfranklee16/academic-research-skills2231 repos~386Automated safety check: PassNone

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Questions about Restat Topic Selection

What does Restat Topic Selection do?

A skill your agent uses when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Restat Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J.

When should I use Restat Topic Selection?

Restat Topic Selection fits situations like: deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J; tasks that involve Econometrics and empirical research; tasks that involve Statistics.

How do I install Restat Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-topic-selection -a claude-code`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/restat-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Restat Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-topic-selection -a codex`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/restat-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Restat Topic Selection 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 restat-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/restat-topic-selection, .gemini/skills/restat-topic-selection, .github/skills/restat-topic-selection and .opencode/skills/restat-topic-selection in your project.

What does Restat Topic Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Restat Topic Selection is instructions for the agent only.

Does Restat Topic Selection 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 Restat Topic Selection 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 Restat Topic Selection use?

Restat Topic Selection 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 Restat Topic Selection use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Restat Topic Selection?

Skills that share tags, products or a category with Restat Topic Selection: Phack Polyglot (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Stata Analyst (majiayu000/claude-skill-registry, 666 stars), Panel Data Analyst (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Jbes Literature Positioning (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Restat Topic Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.