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Agent skill

Restat Literature Positioning

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

A skill your agent uses when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold.

MITAuto-check passedResearch & Science

Install Restat Literature Positioning

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

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

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

At a glance

A skill your agent uses when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold.

  • Works in 5 steps: Name the 3–5 closest papers — the ones a… → State the delta against each in one… → Classify your delta: new identification… → …
  • The marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy
  • SKILL.md covers When to trigger, The REStat positioning bar, How to stake the contribution and Positioning patterns that land…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Restat Literature Positioning is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold. Stakes the contribution precisely; it does not run analysis or write the full literature review.

Its SKILL.md is about 1.2k 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 Positioning and messaging, Statistics and Literature review. 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

  • The marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy
  • Tasks that involve Positioning and messaging
  • Tasks that involve Statistics

Example prompts

  • “/restat-literature-positioning”

Workflow steps

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

  1. Name the 3–5 closest papers — the ones a referee will compare you to first, by author-year.
  2. State the delta against each in one clause: what they did, what you do differently, why it matters.
  3. Classify your delta: new identification | better measurement | new setting that is itself informative | reconciles conflicting prior…
  4. Quantify the stakes where possible: "prior estimates range 0.2–0.8 because of [bias]; our design pins it at [X]."
  5. State scope honestly: what your contribution does not claim (external validity, mechanism, generality).

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 Literature Positioning loads about 1.2k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 585 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 585 words, ~1,200 tokens.

Download SKILL.mdSave it as .claude/skills/restat-literature-positioning/SKILL.md (or your agent's skills folder).
name
restat-literature-positioning
description
Use when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold. Stakes the contribution precisely; it does not run analysis or write the full literature review.

Literature Positioning (restat-literature-positioning)

When to trigger

  • The intro's "we contribute to several literatures" reads as a citation dump
  • A referee could ask "how is this different from [obvious prior paper]?" and you lack a one-line answer
  • The contribution is stated as a topic ("we study X") rather than a delta against named work
  • You are unsure whether your measurement / identification advance is genuinely new

The REStat positioning bar

REStat referees are applied economists who know the closest five papers cold. Positioning must be a precise delta against named work, not a tour of a literature. Because REStat prizes measurement and credible identification, the most persuasive deltas are of two kinds: (1) identification delta — your design credibly estimates a parameter prior work could only correlate or estimate under weaker assumptions; (2) measurement delta — you measure the object better (new data, less error, a validated index) and that changes an applied conclusion. "First to study" is rarely the contribution; "first to credibly identify / cleanly measure, and it overturns/sharpens [conclusion]" is.

How to stake the contribution

  1. Name the 3–5 closest papers — the ones a referee will compare you to first, by author-year.
  2. State the delta against each in one clause: what they did, what you do differently, why it matters.
  3. Classify your delta: new identification | better measurement | new setting that is itself informative | reconciles conflicting prior estimates.
  4. Quantify the stakes where possible: "prior estimates range 0.2–0.8 because of [bias]; our design pins it at [X]."
  5. State scope honestly: what your contribution does not claim (external validity, mechanism, generality).

Positioning patterns that land at REStat

PatternExample shape
Identification upgrade"Prior work used OLS/TWFE; we use [RD / IV / het-robust DID] and the estimate changes"
Measurement upgrade"Prior work proxied [X] with [noisy measure]; our better-measured [X] reverses the sign/magnitude"
Reconciliation"Estimates disagree across studies; we show the gap is [selection / measurement / specification]"
Better-powered / wider data"We bring [bigger / cleaner / linked] data that resolves an under-powered debate"
Applied use of a method"We apply [estimator] to [setting] where its assumptions hold, recovering [parameter]"
Show full SKILL.md (242 more words)Show less

Checklist

  • 3–5 closest papers named by author-year, not just cited in a block
  • A one-clause delta stated against each closest paper
  • Delta classified (identification / measurement / setting / reconciliation)
  • Stakes quantified or sharply described (what changes if you are right)
  • Scope limits stated — what the contribution does NOT claim
  • No "first to study" claim doing the work a real delta should do

Anti-patterns

  • A literature tour (paragraphs of "X did A, Y did B, Z did C") with no delta
  • "First to study [topic]" as the contribution (REStat referees discount novelty-of-topic)
  • Overclaiming generality a single applied setting cannot support
  • Ignoring the single closest paper because it is inconvenient (referees will name it)
  • Citing methods papers to look sophisticated while the applied delta stays vague

Worked vignette: turning a tour into a delta (illustrative)

A draft opens: "A large literature studies the minimum wage's employment effects (A, B, C…). We add to this literature." A REStat referee reads that as no contribution. The fix is to name the single closest paper and state the delta: "Paper B estimated this with TWFE across staggered state increases and found a small disemployment effect; we re-estimate with a heterogeneity-robust estimator on the same variation and a better-measured teen-employment series, and the effect is statistically indistinguishable from zero — the earlier negative estimate was driven by forbidden comparisons and measurement error." That is a delta (identification + measurement) that reconciles a contested estimate, with stakes a referee can weigh.

Output format

【Closest prior work】[paper1 / paper2 / paper3 (/4/5)] by author-year
【Delta vs each】p1: [...]; p2: [...]; p3: [...]
【Delta type】identification | measurement | setting | reconciliation
【Stakes】what changes if we are right: [...]
【Scope NOT claimed】[...]
【Next step】restat-identification

© 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-literature-positioning of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Restat Literature Positioning 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 Literature Positioning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Restat Literature Positioning this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Jbes Literature Positioningfranklee16/academic-research-skills2231 repos~924Automated safety check: PassNone
Gec Literature Positioningfranklee16/academic-research-skills2231 repos~855Automated safety check: PassNone
Jpsp Literature Positioningfranklee16/academic-research-skills2231 repos~850Automated safety check: PassNone
Rje Literature Positioningfranklee16/academic-research-skills2231 repos~720Automated safety check: PassNone
Icml Related Workfranklee16/academic-research-skills2231 repos~402Automated safety check: PassNone

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Categories

Questions about Restat Literature Positioning

What does Restat Literature Positioning do?

A skill your agent uses when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold. Restat Literature Positioning is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold.

When should I use Restat Literature Positioning?

Restat Literature Positioning fits situations like: the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy; tasks that involve Positioning and messaging; tasks that involve Statistics.

How do I install Restat Literature Positioning in Claude Code?

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

How do I install Restat Literature Positioning in Codex?

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

Can I use Restat Literature Positioning 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-literature-positioning -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-literature-positioning, .gemini/skills/restat-literature-positioning, .github/skills/restat-literature-positioning and .opencode/skills/restat-literature-positioning in your project.

What does Restat Literature Positioning need to run?

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

Does Restat Literature Positioning 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 Literature Positioning 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 Literature Positioning use?

Restat Literature Positioning 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 Literature Positioning use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Literature Positioning?

Skills that share tags, products or a category with Restat Literature Positioning: Jbes Literature Positioning (franklee16/academic-research-skills, 223 stars), Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpsp Literature Positioning (franklee16/academic-research-skills, 223 stars) and Rje 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 Literature Positioning?

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.