aeri-literature-positioning
Use when positioning the contribution of an American Economic Review: Insights (AER: Insights) short-format manuscript against the closest published work in one or two tight paragraphs. Stakes the gap concisely; it does not write the full literature review (there is no room for one).
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-literature-positioningInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of aeri-literature-positioning
aeri-literature-positioning scores 85/100 on our quality scale, 2242nd of 4,610 Development & Engineering skills we index (top 49%).
Its SKILL.md is 5.5 KB long, well organised into 11 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.
Maintenance, license and trust
- The repository was last updated 18 days ago, so aeri-literature-positioning 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-literature-positioning compared with similar skills
All 4 of these similar skills score higher than aeri-literature-positioning; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aeri-literature-positioning (this skill)by brycewang-stanford | 85 | 1.2k | 18d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.8k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
Frequently asked questions
- How do I install aeri-literature-positioning?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-literature-positioning. The install tabs above show the steps for each supported agent. - Which AI agents does aeri-literature-positioning 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-literature-positioning 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-literature-positioning still maintained?
- The repository was last updated 18 days ago, so aeri-literature-positioning is actively maintained.
Skill content
View source on GitHubname: aeri-literature-positioning description: Use when positioning the contribution of an American Economic Review: Insights (AER: Insights) short-format manuscript against the closest published work in one or two tight paragraphs. Stakes the gap concisely; it does not write the full literature review (there is no room for one).
Literature Positioning — Compressed (aeri-literature-positioning)
When to trigger
- The contribution relative to the nearest paper is fuzzy or oversold
- A draft contains a multi-page literature review that the format cannot afford
- A referee might say "this is already known" or "this is a known method applied"
- You need to show the single insight is new without spending the word budget
The short-format positioning problem
AER: Insights gives you no room for a survey. Positioning must be done in one or two paragraphs that do exactly one job: pin the single closest prior result and state precisely what your one insight adds, corrects, or overturns. Because the whole paper is one idea, the literature task is narrow — locate that idea on the frontier, not map the whole field. The word budget is shared with everything else (≤7,000 words minus exhibits), so every citation must earn its place.
How to position in two paragraphs
- Name the closest paper(s), not a field. Identify the one or two papers a referee will immediately think of. Engage them directly: what did they establish, and what did they leave open or get wrong that your insight resolves?
- State the delta as a single clause. "We show X, where the closest prior work showed only Y / assumed Z / left W unresolved." The delta must match the one-sentence insight from
aeri-topic-selection. - Defend novelty without inflation. AER: Insights referees punish both "this is already known" and overclaiming. Calibrate: claim exactly the marginal contribution, no more.
- Push the broad literature to the appendix or footnotes. Tangential citations and related-strands discussion go to a footnote or the Supplemental Appendix, never an in-text section.
Decision table: what kind of gap is it?
| Gap type | One-line framing | Watch-out | |----------|------------------|-----------| | New result on an open question | "It was unknown whether …; we show …" | be sure it is genuinely open, not just unaddressed-by-you | | Overturning a believed result | "Prior work concluded X; with [better design/data] we find not-X" | engage the prior paper's design fairly | | Sharpening / separating channels | "Prior work left A and B bundled together; we isolate ..." | show the separation is the contribution | | Method that changes the answer | "Applying [method] to [setting] reverses the standard conclusion" | the payoff, not the method, is the contribution |
Where positioning lives in the short paper
In a long paper the literature has its own section; in AER: Insights it should live inside the
introduction — typically the second and third sentences after the headline result
(aeri-writing-style). The reader meets the result, then immediately
learns what was believed before and what your one insight changes. A standalone "Related Literature"
section is a smell that the paper is too long or trying to be an AER paper.
The general-interest test for citations
Because AER: Insights is general-interest, the closest paper you confront should be one a broad
audience recognizes, not only the three specialists in your subfield. If the only papers you can position
against are field-internal, reconsider whether the venue is AER: Insights or an AEJ field journal
(aeri-topic-selection). Position against the most visible prior
claim your result touches; cite the field-internal antecedents in a footnote.
Worked vignette (illustrative)
A fictional paper finds that revealing posted wages closes part of the gender application gap. A weak positioning cites "a large literature on gender gaps" and a dozen papers. A strong AER: Insights positioning is two sentences: "The application gap is widely attributed to preferences or confidence (closest paper: X); we show a simple information change moves it substantially, implying the gap is partly an information friction." One named antecedent, one delta clause, no survey.
Checklist
- [ ] The single closest prior result is named and engaged directly
- [ ] The contribution is stated as one delta clause matching the headline insight
- [ ] Novelty is calibrated — neither "already known" nor overclaimed
- [ ] Positioning fits in one or two paragraphs, not a section
- [ ] Broader / tangential literature is in footnotes or the appendix
- [ ] No claim that the insight cannot defend in the short paper itself
Anti-patterns
- A multi-page "Related Literature" section the word cap cannot afford
- Citing a field instead of confronting the one paper closest to yours
- Overclaiming ("first to …") when a near-identical result exists
- Hedged positioning that leaves the referee unsure what is new
- Spending words on strands the single insight does not touch
Output format
【Closest prior work】<1–2 papers> — what they established / left open
【Delta clause】"We show ..., where prior work only ... / assumed ... / left ... unresolved"
【Novelty calibration】exact marginal contribution (no over/underclaim)
【Where the rest goes】footnotes / Supplemental Appendix
【Next step】aeri-identification (or aeri-theory-model for a theory paper)
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
