本文へ移動
cccskills
無料GitHub で公開

aejpol-workflow

Use when deciding which aejpol-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an AEJ: Economic Policy manuscript. Routes — it does not replace — the specialized skills.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md6.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

AEJ: Policy Workflow Router (aejpol-workflow)

Overview

This is the router. It tells you which aejpol- skill to use at the current stage* of a manuscript aimed at the American Economic Journal: Economic Policy (AEJ: Policy) — the American Economic Association's quarterly journal for the economic analysis OF policy. AEJ: Policy rewards a paper built around a clear policy question whose answer carries a welfare, cost-benefit, or distributional implication, identified credibly (quasi-experimental / RCT / applied theory) and reproducible to AEA standards. The policy question and its counterfactual are the through-line of every skill below.

Default assumption: unless the user says otherwise, treat the target as AEJ: Policy. Operational tells that you are at AEJ: Policy and not a sibling: review is single-blind through the AEA submission system (the manuscript carries the title/byline/affiliations); JEL codes are required; the AEA Data and Code Availability Policy and the AEA Data Editor run a pre-publication reproducibility check on a deposit in the AEA Data and Code Repository (openICPSR); the bar is broad policy interest + credible causal evidence + a welfare/cost-benefit reading, not a field-public-finance bar (J. Public Economics) or an identification-for-its-own-sake bar (AEJ: Applied). Re-verify volatile specifics (submission fee, editors) on the official AEA pages — official AEA pages checked 2026-06-20.

When to trigger

  • The user asks "what should I do next?"
  • A draft needs its current bottleneck diagnosed
  • Work is ping-ponging between identification, the policy framing, exhibits, and the response letter
  • An AEJ: Policy decision letter arrived and the user needs to switch into revision mode

Routing table

Current symptomNext skill
No sharp policy question, or fit vs. JPubE / AEJ:Applied / AER unclearaejpol-topic-selection
Contribution vs. the policy-evaluation literature is fuzzy or undersoldaejpol-literature-positioning
Causal design (DID / IV / RDD / RCT) for the policy's effect is shakyaejpol-identification
Need a model/welfare framework to read estimates as a policy effectaejpol-theory-model
Estimate stability, sensitivity, and threats need stress-testingaejpol-robustness
Exhibits are dense; significance asterisks still presentaejpol-tables-figures
Prose buries the policy takeaway; abstract/intro do not landaejpol-writing-style
Data/code deposit, README, AEA Data Editor prep, restricted-data pathaejpol-replication-package
Want to anticipate the referees' objections before submittingaejpol-referee-strategy
Ready to submit via the AEA system; need a preflightaejpol-submission
Received an R&R; need a response-letter strategyaejpol-rebuttal

Default order

  1. aejpol-topic-selection — lock the policy question + the welfare/cost-benefit stake
  2. aejpol-literature-positioning — stake the contribution vs. the policy-evaluation frontier
  3. aejpol-identification — credible quasi-experimental / RCT evaluation of the policy
  4. aejpol-theory-model — the framework that maps estimates to a welfare/policy object
  5. aejpol-robustness — sensitivity, threats, specification stability
  6. aejpol-tables-figures — exhibits without significance asterisks; a policy-relevant headline exhibit
  7. aejpol-writing-style — translate estimates into a clear policy takeaway (abstract + intro last)
  8. aejpol-replication-package — assemble the AEA-compliant deposit
  9. aejpol-referee-strategy — pre-empt the objections referees will raise
  10. aejpol-submission — AEA system preflight
  11. aejpol-rebuttal — after the R&R

aejpol-writing-style is a late-stage polish; do not rewrite the intro before identification/robustness settle.

Anti-patterns

  • Treating AEJ: Policy like J. Public Economics (field-only, no broad-interest policy framing) or AEJ: Applied (identification-driven applied micro with no policy question)
  • Deferring aejpol-replication-package to acceptance — the AEA Data Editor checks before publication
  • Letting aejpol-tables-figures polish exhibits while identification is still moving
  • Reporting a clean causal estimate with no welfare / cost-benefit / distributional reading — the AEJ: Policy "so what"

Routing by paper archetype

The bottleneck differs by how the policy is identified. Read the archetype, then enter the chain at the right link.

ArchetypeLikely first bottleneckEnter at
reform / law change (staggered)TWFE bias; modern DID; pre-trendsaejpol-identification
eligibility threshold / formulaRDD / bunching design + density testaejpol-identification
field experiment / RCT of a programestimand + pre-registration + welfare costaejpol-topic-selection → aejpol-identification
sufficient-statistics / structural welfaremapping reduced-form estimate to welfareaejpol-theory-model

Worked routing example (illustrative)

A user says: "My estimate of a tax-credit expansion on employment is clean, but a referee says the paper 'has no policy point' and the welfare claim is hand-waved." Two AEJ: Policy pushbacks — no welfare/cost-benefit reading and takeaway not framed as a policy lesson — owned by aejpol-theory-model (the welfare mapping) and aejpol-writing-style (the takeaway). Route to aejpol-theory-model to turn the employment elasticity into a marginal-value-of-public-funds / cost-per-job number, then aejpol-writing-style for the policy sentence.

Minimal decision snippet

if decision_letter_arrived:        -> aejpol-rebuttal
elif ready_to_submit:              -> aejpol-submission
elif anticipating_referees:        -> aejpol-referee-strategy
elif exhibits_or_significance:     -> aejpol-tables-figures
elif estimate_unstable:            -> aejpol-robustness
elif welfare_mapping_missing:      -> aejpol-theory-model
elif identification_shaky:         -> aejpol-identification
elif claim_or_positioning_fuzzy:   -> aejpol-literature-positioning
else:                              -> aejpol-topic-selection

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.

日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

brycewang-stanford のスキルをすべて見る

このスキルの問題を報告する