From aer-skills
Positions a manuscript against existing economics literature, builds an antecedents map, and verifies citation authenticity. Use during topic selection and introduction drafting.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aer-skills:aer-literatureThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill does two jobs that AER referees grade separately:
This skill does two jobs that AER referees grade separately:
The second job is non-negotiable for AI-assisted manuscripts. Language models produce plausible-looking citations that do not exist, attach real authors to invented titles, and attribute findings to papers that show the opposite. One hallucinated reference, found by a referee, destroys the credibility of every other sentence in the paper. The working rule:
No citation is written from memory. Every entry is verified against a fetched source before it enters the bibliography, and every claim about a paper is verified against that paper's actual text.
aer-topic-selection, to run the novelty scan before committingaer-introduction, to build the antecedents paragraphaer-consistency)Run all five channels — each finds papers the others miss:
Log every search (channel, query, date, hits) — the log answers the referee
who asks "did you know about X?" and feeds the novelty audit in
aer-topic-selection.
Reduce the search to the 3-6 closest papers and fill this table honestly — it is the skeleton of the introduction's antecedents paragraph and the evidence base for the contribution claim:
| Paper | Question | Data / setting | Identification | Headline finding | What it does not do |
|---|---|---|---|---|---|
| A (2019) | ... | ... | ... | ... | ... |
Rules:
aer-topic-selection rather than writing around the conflict.The value-added paragraph claims one primary move (plus at most two supporting ones):
| Move | Defensible when |
|---|---|
| New question | No antecedent asks it — and it matters that nobody has |
| New identification | Antecedents are correlational or use a now-rejected design |
| New data | Resolution, coverage, or linkage the literature lacked |
| New mechanism | The why was open even though the whether was settled |
| Opposite / corrected finding | A credibly identified sign flip or magnitude revision |
| Unification | Two literatures explained by one framework or fact |
Match the claim to the map: a "new identification" claim dies instantly if row 3 of the antecedents table already used the same design.
docs/methods-reference.md, entries in
references.bib); the source for every institutional fact and every
benchmark magnitude used in Results.Run this pipeline for every reference. No step is skippable for entries the model "remembers."
Verify against an authoritative record: resolve the DOI (Crossref / doi.org), or match the exact title and author list on the journal page, RePEc, or the NBER/SSRN abstract page. A reference with no resolvable DOI and no locatable landing page does not go in the bibliography. Use a web search or fetch for every entry; if a Zotero or reference-manager connection is available, import from the verified record rather than typing fields.
Check, character by character, against the verified record: full author list and order, spelling and diacritics, year, exact title, journal, volume, issue, pages, DOI. The most common AI corruption modes: swapped coauthors, off-by-one years (working paper vs. publication), a real author pair attached to an invented title, and the wrong journal in the right family (AEJ: Applied vs. AEJ: Policy).
For every in-text sentence of the form "[Author (year)] find/show/argue X," read at least the abstract — and the relevant table if a magnitude is quoted. The claim must match what the paper actually establishes, including sign, population, and design caveats. Misattribution to a real paper is more damaging than a fake one, because the referee may be its author.
Check that the paper has not been retracted or corrected, and whether a cited working paper has since been published (then cite the journal version). For replication-contested results, cite the dispute or choose a different benchmark.
Maintain a verification ledger alongside references.bib:
KEY DOI-OK FIELDS-OK CLAIM-OK VERSION CHECKED
goodman_bacon_2021 yes yes yes published 2026-06-12
hjort_poulsen_2019 yes yes yes published 2026-06-12
Any row that cannot reach all-yes is removed from the manuscript or explicitly flagged to the user as unverified. Never silently keep an unverified citation.
author_author_year lowercase
(matching references.bib in this repository).aer-consistency runs this check as part of the full-manuscript
audit.When working from the AER-skills repository or plugin bundle, load only the relevant resource:
docs/methods-reference.md and references.bibexamples/modern-aer-exemplars.mdexamples/aer-exemplars.mdskills/aer-topic-selection/SKILL.mdCLOSEST PAPERS MAPPED: <n> (target 3-6)
SCOOP RISK: <none found / named paper + implication>
POSITIONING MOVE: <new question | identification | data | mechanism | correction | unification>
REFERENCES VERIFIED: <n>/<total> (existence / fields / claim / version)
UNVERIFIED ENTRIES: <list, or "none — all verified">
NEXT SKILL: <aer-introduction | aer-topic-selection | aer-consistency>
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npx claudepluginhub brycewang-stanford/aer-skills --plugin aer-skills