From annual-review-of-economics-skills
Appraises credibility of primary studies in an Annual Review of Economics (ARE) synthesis, weighing conflicting evidence and auditing even-handedness across competing views.
How this skill is triggered — by the user, by Claude, or both
Slash command
/annual-review-of-economics-skills:arecon-evidence-standardsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- The framework is set and you are filling cells with conflicting empirical results
An ARE review runs no identification of its own — there is no design to defend, no replication package of your data. Instead you act as the field's referee-of-record for adjacent readers: you judge how much weight each primary study can bear so the review weighs the evidence correctly. Make the appraisal explicit, not implicit:
You are not re-running these — you are rating their credibility in the evidence matrix so the review's conclusions track the best evidence, not the loudest paper.
Conflicting results are reconciled by credibility and by what each study estimates, never by tallying "7 studies positive, 4 negative." Two estimates that disagree often measure different objects (different populations, estimands, time horizons); say so, and let the framework's cells carry the distinction. A pooled "consensus" across non-comparable designs manufactures false agreement that ARE's methodologically literate readers will catch.
A review must be comprehensive in coverage yet selective in emphasis — and stay accessible in ~25–40 pages. Tier the corpus:
| Tier | Treatment |
|---|---|
| Foundational / field-defining | discussed in text, with what they established and their limits |
| Important contributions | grouped and weighed within framework cells; cited with their finding |
| Confirmatory / incremental | cited in clusters ("see also …") to show coverage without bloating prose |
| Tangential | cited only where they bear on a specific claim |
Comprehensiveness is proven by the citation set + saturation log (arecon-literature-synthesis); selectivity is exercised in the prose.
ARE referees are frequently the surveyed authors themselves, so balance is strategic as well as ethical:
【Credibility appraisal】pivotal studies rated (design/identification/robustness)? Y/N
【Conflict handling】reconciled by credibility + estimand (not vote-count)? Y/N
【Tiering】corpus split foundational/important/confirmatory/tangential? Y/N
【Comprehensiveness】saturation log supports "nothing important missing"? Y/N
【Steelman】each rival school stated at its strongest? Y/N
【Controversy】evidence-to-settle stated; author's read labelled? Y/N
【Self-citation audit】own work at warranted tier; emphasis identity-blind? Y/N
【Next step】→ arecon-tables-figures (who-found-what tables) → arecon-writing-style
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin annual-review-of-economics-skillsAppraises cumulative evidence quality and balance in an Academy of Management Annals review, weighing conflicting findings by credibility, steelmanning rival schools, and handling the author's own work even-handedly.
Audits a JEL survey for completeness vs. selectivity and fairness across schools, authors, and controversies, including guarding against over-citation of the author's own work.
Audits coverage and even-handedness in sociological literature reviews, helping calibrate completeness vs. selectivity and ensure fairness across schools, methods, and authors.