A skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…

MITAuto-check passedResearch & Science

Install Restat Workflow

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-workflow --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-workflow .claude/skills/restat-workflow && 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-workflow
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
670 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…

  • Works in 11 steps: restat-topic-selection — lock the… → restat-literature-positioning — stake… → restat-identification — make the causal… → …
  • Deciding which restat- sub-skill to invoke next
  • SKILL.md covers Overview, When to trigger, Routing table and Default order, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Restat Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission. Routes — it does not replace — the specialized skills.

Its SKILL.md is about 1.6k 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 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 which restat- sub-skill to invoke next
  • Sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission

Example prompts

  • “/restat-workflow”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. restat-topic-selection — lock the applied question and REStat fit
  2. restat-literature-positioning — stake the marginal contribution
  3. restat-identification — make the causal design / measurement credible
  4. restat-theory-model — right-size theory to interpret the estimate
  5. restat-robustness — show the headline survives specs, sample, inference
  6. restat-tables-figures — make the result legible in one exhibit
  7. restat-writing-style — land question + estimate early (intro last)
  8. restat-replication-package — assemble the Harvard Dataverse package
  9. restat-referee-strategy — pre-empt design-specific objections
  10. restat-submission — Editorial Express preflight
  11. restat-rebuttal — after the R&R

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 Workflow loads about 1.6k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 670 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 670 words, ~1,623 tokens.

Download SKILL.mdSave it as .claude/skills/restat-workflow/SKILL.md (or your agent's skills folder).
name
restat-workflow
description
Use when deciding which restat-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission. Routes — it does not replace — the specialized skills.

REStat Workflow Router (restat-workflow)

Overview

This is the router. It tells you which restat- skill to use at the current stage* of a manuscript aimed at The Review of Economics and Statistics (REStat) — the venerable MIT Press journal edited at the Harvard Kennedy School (founded 1917/1919; current title since 1948). REStat publishes applied economics and applied econometrics: it rewards credible causal identification, careful measurement, and quantitative evidence across labor, public, development, trade, IO, health, environment, urban, and macro-empirics. It is empirical-first — a clean research design or a measurement advance is the contribution; theory interprets, it does not lead.

Operational tells that you are at REStat and not a sibling: REStat values measurement and applied econometrics, not pure methods development (that is J. Econometrics); it is broad applied econ, wider than a field journal but more specialized than AER. Submission is via Editorial Express with a nonrefundable submission fee (US$125; source map refreshed 2026-06-20); review is editor-managed peer review; accepted empirical papers must deposit data and code to the REStat Harvard Dataverse under the journal's Data and Code Availability Policy. Editors as of the 2026-06-20 refresh: Will Dobbie (Harvard) and Raymond Fisman (Boston U), co-chairs.

When to trigger

  • The user asks "what should I do next?"
  • A draft needs its current bottleneck diagnosed
  • Work is ping-ponging between identification, exhibits, framing, and the response letter
  • A REStat decision letter arrived and the user needs to switch into revision mode

Routing table

Current symptomNext skill
Unsure the paper fits REStat vs AER / AEJ:Applied / J. Econometrics / a field journalrestat-topic-selection
Contribution vs. the closest prior work is fuzzy or undersoldrestat-literature-positioning
Causal design / measurement strategy is the bottleneckrestat-identification
Theory is overgrown or absent; unclear how much model to carryrestat-theory-model
Headline estimate's stability under specs/sample/inference is untestedrestat-robustness
Exhibits are dense; the main result is not legible in one table/figurerestat-tables-figures
The question + estimate do not land in the first paragraphrestat-writing-style
Need the Harvard Dataverse data/code package + READMErestat-replication-package
Want to pre-empt the objections this design invitesrestat-referee-strategy
Ready to submit via Editorial Express; need a preflightrestat-submission
Received an R&R; need a response-letter strategyrestat-rebuttal
Show full SKILL.md (315 more words)Show less

Default order

  1. restat-topic-selection — lock the applied question and REStat fit
  2. restat-literature-positioning — stake the marginal contribution
  3. restat-identification — make the causal design / measurement credible
  4. restat-theory-model — right-size theory to interpret the estimate
  5. restat-robustness — show the headline survives specs, sample, inference
  6. restat-tables-figures — make the result legible in one exhibit
  7. restat-writing-style — land question + estimate early (intro last)
  8. restat-replication-package — assemble the Harvard Dataverse package
  9. restat-referee-strategy — pre-empt design-specific objections
  10. restat-submission — Editorial Express preflight
  11. restat-rebuttal — after the R&R

restat-writing-style is a late-stage polish; do not rewrite the intro before identification and robustness settle.

Anti-patterns

  • Deferring restat-replication-package until acceptance — REStat's Data and Code Availability Policy and Harvard Dataverse deposit are part of the path to publication, not an afterthought
  • Letting restat-tables-figures polish exhibits while the identification is still moving
  • Treating REStat like J. Econometrics (a new estimator is the contribution) or like AER (general-interest, agenda-setting scope) — REStat is broad applied econ with a measurement tradition

Routing by paper archetype

REStat spans several applied archetypes, and the bottleneck differs. Read the archetype, then enter the chain at the right link.

ArchetypeLikely first bottleneckEnter at
applied-micro causal design (DID / RD / IV)heterogeneity-robust estimator + clean designrestat-identification
measurement / new data or indexconstruct validity + measurement-error disciplinerestat-identification → restat-robustness
trade / IO / spatial (shift-share)exposure-design inference + exogeneity of shares/shocksrestat-identification
structural-light appliedhow much model to carry without becoming method-firstrestat-theory-model

Worked routing example (illustrative)

A user says: "My DID on a staggered state policy estimates fine, but a referee says TWFE is biased and the measure of my outcome is noisy." That is two distinct REStat pushbacks — heterogeneity-biased estimator (owned by restat-identification, Branch DID) and measurement error in the outcome (a REStat-signature concern, addressed in restat-identification measurement + restat-robustness). Route to restat-identification first; only once the headline effect is stable under Callaway–Sant'Anna and an attenuation correction do you return to restat-tables-figures and restat-rebuttal.

Minimal decision snippet

if decision_letter_arrived:        -> restat-rebuttal
elif ready_to_submit:              -> restat-submission
elif anticipating_referees:        -> restat-referee-strategy
elif need_data_code_package:       -> restat-replication-package
elif exhibits_dense:               -> restat-tables-figures
elif headline_not_robust:          -> restat-robustness
elif theory_mis-sized:             -> restat-theory-model
elif identification_or_measurement_shaky: -> restat-identification
elif contribution_fuzzy:           -> restat-literature-positioning
else:                              -> restat-topic-selection

© 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-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Restat Workflow 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.

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Restat Workflow this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
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JS Perf InvestigationSAP/project-foxhound1802 repos~4.1kAutomated safety check: PassGPL-3.0
Math Modeling SolverLupynow/math-modeling-skills416—~2.1kAutomated safety check: PassMIT
Academic Paper Reproduction Methodologyxjtulyc/MedgeClaw6171 repos~1.3kAutomated safety check: PassNone
Data Scientistmagnus919/hermes-profiles282—~3.3kAutomated safety check: PassMIT

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Questions about Restat Workflow

What does Restat Workflow do?

A skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…. Restat Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission.

When should I use Restat Workflow?

Restat Workflow fits situations like: deciding which restat- sub-skill to invoke next; sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission.

How do I install Restat Workflow in Claude Code?

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

How do I install Restat Workflow in Codex?

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

Can I use Restat Workflow 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-workflow -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-workflow, .gemini/skills/restat-workflow, .github/skills/restat-workflow and .opencode/skills/restat-workflow in your project.

What does Restat Workflow need to run?

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

Does Restat Workflow 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 Workflow 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 Workflow use?

Restat Workflow 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 Workflow use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Workflow?

Skills that share tags, products or a category with Restat Workflow: Manuscript Statistics Audit (Yuan1z0825/nature-skills, 47k stars), JS Perf Investigation (SAP/project-foxhound, 180 stars), Math Modeling Solver (Lupynow/math-modeling-skills, 416 stars) and Academic Paper Reproduction Methodology (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Restat Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.