aejmac-literature-positioning
Use when the contribution of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript relative to the macro frontier is fuzzy, contested, or undersold.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-literature-positioningInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
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Our assessment of aejmac-literature-positioning
aejmac-literature-positioning scores 85/100 on our quality scale, 2231st of 4,610 Development & Engineering skills we index (top 49%).
Its SKILL.md is 4.0 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 aejmac-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.
aejmac-literature-positioning compared with similar skills
All 4 of these similar skills score higher than aejmac-literature-positioning; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aejmac-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 aejmac-literature-positioning?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-literature-positioning. The install tabs above show the steps for each supported agent. - Which AI agents does aejmac-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 aejmac-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 aejmac-literature-positioning still maintained?
- The repository was last updated 18 days ago, so aejmac-literature-positioning is actively maintained.
Skill content
View source on GitHubname: aejmac-literature-positioning description: Use when the contribution of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript relative to the macro frontier is fuzzy, contested, or undersold. Frames the marginal contribution against quantitative-theory and identified-empirical literatures; it does not fix the identification or the model itself.
Literature Positioning (aejmac-literature-positioning)
When to trigger
- The introduction cites many papers but never says what is new
- A referee could ask "how is this different from [the obvious prior paper]?" and you lack a one-line answer
- The paper sits between a theory literature and an empirical literature and the bridge is unclear
- The contribution is real but framed as incremental ("we extend X by adding Y")
The AEJ: Macro positioning bar
AEJ: Macro is a broad-interest macro journal, so positioning must locate the paper for a general macro reader, not only for the three people working on the exact model or shock series. Two literatures usually bound a macro paper, and you must place the contribution against both:
- the quantitative-theory frontier (DSGE / HANK / heterogeneous-agent / structural) — what does your model deliver that the canonical model cannot?
- the identified-empirical frontier (SVAR / local projections / narrative / proxy-VAR / micro-data macro) — what does your evidence pin down that prior designs left open?
A hybrid paper (model matched to identified evidence) must say why the combination answers a question neither side resolved alone — this is often the strongest AEJ: Macro contribution.
Positioning moves
Move 1 — Name the closest 2–3 papers, then the wedge
Do not list 30 citations. Name the 2–3 papers a referee would call "basically the same," and state in one sentence what your paper does that each cannot. The wedge should be a quantity, mechanism, or identification gain, not "a different dataset."
Move 2 — Place against both frontiers
- vs. theory frontier: "The canonical [RBC/NK/HANK] model predicts/assumes Z; we relax/measure Z and the macro implication changes by ___."
- vs. empirical frontier: "Prior [SVAR/LP] designs cannot separate channel A from channel B; our [narrative/high-frequency/sign-restriction] identification does."
Move 3 — State the contribution as a sentence with a quantity
"We show that [mechanism] accounts for [X%] of [aggregate], overturning/refining the prior view that ___." A magnitude makes the contribution legible to a general reader and to the AEA process.
Move 4 — Calibrate the claim
Say what the paper does not establish: the regime, sample, or country where the result holds, and what remains open. Over-claiming is the fastest path to a referee's "the contribution is oversold."
Checklist
- [ ] The 2–3 nearest papers named, each with a one-line wedge
- [ ] Positioned against the quantitative-theory frontier (what the model adds)
- [ ] Positioned against the identified-empirical frontier (what the design pins down)
- [ ] Hybrid papers: why model + evidence beats either alone
- [ ] Contribution stated as one sentence with a quantity/mechanism
- [ ] Scope limits stated; no over-claiming beyond regime/sample
- [ ] Broad-interest framing: a general macroeconomist sees why it matters
Anti-patterns
- A "literature wall" — long paragraphs of citations with no stated wedge
- Positioning only against the subfield, invisible to general macro readers (reads as a field paper, wrong for AEJ: Macro)
- "We are the first to…" claims that a single prior paper falsifies
- Framing the contribution as a method tweak rather than a macro answer
- Burying the contribution sentence on page 4 instead of paragraph 1–2 of the intro
Output format
【Nearest papers + wedge】1) ... 2) ... 3) ...
【Vs. theory frontier】what the model/structure adds
【Vs. empirical frontier】what the identification pins down
【Contribution sentence (with quantity)】...
【Scope / what it does NOT claim】...
【Next step】aejmac-identification (empirical) and/or aejmac-theory-model (quantitative)
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
