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aejmic-literature-positioning

Use when the contribution of an American Economic Journal: Microeconomics (AEJ: Micro) manuscript is fuzzy or oversold relative to the closest existing results.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-literature-positioning

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Our assessment of aejmic-literature-positioning

aejmic-literature-positioning scores 85/100 on our quality scale, 668th of 1,179 Content & Media skills we index.

Its SKILL.md is 5.2 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.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aejmic-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.

aejmic-literature-positioning compared with similar skills

All 4 of these similar skills score higher than aejmic-literature-positioning; compare them before choosing.

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Frequently asked questions

How do I install aejmic-literature-positioning?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-literature-positioning. The install tabs above show the steps for each supported agent.
Which AI agents does aejmic-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 aejmic-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 aejmic-literature-positioning still maintained?
The repository was last updated 18 days ago, so aejmic-literature-positioning is actively maintained.

name: aejmic-literature-positioning description: Use when the contribution of an American Economic Journal: Microeconomics (AEJ: Micro) manuscript is fuzzy or oversold relative to the closest existing results. Stakes the theorem-relative delta against the nearest theory; it does not build the model (see aejmic-theory-model) or frame the prose (see aejmic-writing-style).

Literature Positioning (aejmic-literature-positioning)

When to trigger

  • The literature review lists papers but never says what is new here
  • The contribution is stated relative to "the literature" in the abstract rather than to a specific closest result
  • A referee may ask "how is this different from [Author, Year]?" and you do not have a crisp answer
  • The claim of novelty is broader than the result actually supports

Positioning a theory result

For a theory-first journal, positioning is theorem-relative: identify the closest existing result and state precisely the delta — what your model relaxes, generalizes, characterizes, or overturns. Vague "we contribute to the literature on X" framing is the most common avoidable weakness. AEJ: Micro referees are subject-matter experts; they know the nearest theorem and will measure your delta against it.

How to find and state the delta

  1. Name the closest result, not a vague body of work: "Closest is [Author, Year], who shows P under assumptions A. We…"
  2. Classify the delta: a weaker assumption (more general), a new environment (broader scope), a full characterization where prior work had a special case, an impossibility where prior work conjectured possibility, or a mechanism prior work missed.
  3. Right-size the claim: state what you do not improve on, so the genuine advance is credible.
  4. Map the neighborhood: 3–6 anchor results, each with one clause saying how you relate. Avoid citation padding.

Sibling-literature discipline

Position against the theory frontier (mechanism design, IO theory, information economics, decision theory…), not against empirical applied-micro papers — that signals an AEJ: Applied framing. If your result has an empirical or experimental companion literature, cite it as motivation, not as the bar your contribution clears.

The delta taxonomy (which kind do you have?)

| Delta type | What it looks like | What the reader must see | |---|---|---| | Weaker assumption | Same conclusion, fewer/looser hypotheses | The dropped assumption named; that the old proof breaks without your argument | | New environment | Old mechanism, richer setting (search, networks, dynamics) | What the new setting adds that the old result could not capture | | Full characterization | Prior work had a special case or sufficiency only | Both directions; the boundary of the characterization | | Impossibility / no-go | Prior work conjectured or assumed possibility | The exact obstruction and which primitive causes it | | New mechanism | Same phenomenon, different economic force | Why the new force is the right explanation |

State which row you are in in the contribution paragraph — a referee who cannot classify your delta will undervalue it.

Independent and contemporaneous work

If a close result appeared independently and around the same time, acknowledge it explicitly and state the relationship (different method, complementary result, prior circulation date). Silence here reads as either ignorance or concealment to an expert referee.

Checklist

  • [ ] The single closest result is named, with its assumptions and conclusion
  • [ ] The delta is classified (weaker assumption / new environment / characterization / impossibility / new mechanism)
  • [ ] The contribution paragraph says what is not improved, bounding the claim
  • [ ] 3–6 anchor papers, each with a one-clause relation; no padding
  • [ ] Positioning is against the theory frontier, not an empirical literature
  • [ ] Independent/contemporaneous work acknowledged where it exists

Anti-patterns

  • "We contribute to the literature on X" with no named closest result
  • A wall of citations establishing breadth but never the delta
  • Overclaiming generality the proof does not deliver
  • Ignoring a known closer result a referee will immediately recall
  • Positioning against empirical papers, signaling the wrong journal

Worked vignette (illustrative)

A persuasion paper says it "extends the Bayesian-persuasion literature." A referee asks how it differs from the canonical single-sender result. The fix: "Closest is the single-sender concavification result; we relax commitment to partial commitment and characterize the sender-optimal signal, which coincides with full commitment only when the state space is binary." That one sentence is the delta — environment relaxed (partial commitment), full characterization, and an explicit scope limit (coincides only in the binary case).

Output format

【Closest result】[Author, Year]: shows [P] under [assumptions A]
【Our delta】[weaker assumption / new environment / characterization / impossibility / new mechanism]
【Not improved】[explicit scope limit]
【Anchor map】3–6 papers, one clause each
【Frontier check】positioned against theory, not empirics? [Y/N]
【Next step】aejmic-theory-model (build/sharpen the result) or aejmic-writing-style (intro)

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryContent
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions