Skip to content
cccskills
FreePublished on GitHub

aeri-workflow

Use when deciding which aeri-* sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an American Economic Review: Insights (AER: Insights) submission. Routes — it does not replace — the specialized skills.

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (1)

  • SKILL.md6.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

AER: Insights Workflow Router (aeri-workflow)

Overview

This is the router. It tells you which aeri- skill to use at the current stage* of a manuscript aimed at American Economic Review: Insights (AER: Insights) — the AEA's short-format, general-interest journal (founded 2019) for papers built around ONE clear, important, well-executed idea, empirical, theoretical, or methodological. The bar is AER-level importance compressed into a short paper. AER: Insights is the short sibling of the American Economic Review (long, multi-result, flagship) and is general-interest, unlike the field-oriented full papers of the AEJ family.

Default assumption: unless the user says otherwise, treat the target as AER: Insights. The two operational tells that you are at AER: Insights and not AER or an AEJ: (1) a hard length cap — main text ≤7,000 words with no exhibits, minus 200 words per exhibit, maximum five exhibits, abstract ≤100 words — papers over the cap are returned unreviewed; (2) a single insight must carry the whole paper, with everything secondary pushed to the online Supplemental Appendix. Process tells: AEA single-blind review that is fast and decisive — no traditional revise-and-resubmit; first decisions are conditional accept or reject, and conditional accepts (usually an 8-week window) are normally not sent back to referees. Editor as of 2026: Matthew Gentzkow (lead editor beginning January 2024; founding editor Amy Finkelstein). Live-check volatile specifics on the official AEA pages.

When to trigger

  • The user asks "what should I do next?"
  • A draft is over the word/exhibit cap or is sprawling into multiple results
  • Work is ping-ponging between the core result, framing, exhibits, and the response letter
  • An AER: Insights decision letter (conditional accept or reject) arrived

Routing table

Current symptomNext skill
Paper has several results / no single crisp insight; fit to short format unclearaeri-topic-selection
Contribution vs. the closest published work is fuzzy or oversoldaeri-literature-positioning
The causal or parameter identification is shakyaeri-identification
A model is present but bloated, or unclear what it must minimally showaeri-theory-model
Robustness is sprawling; unclear what stays in-text vs. appendixaeri-robustness
Over the five-exhibit budget; exhibits are dense or carry significance asterisksaeri-tables-figures
Prose buries the result; abstract/intro do not lead with it; over word capaeri-writing-style
Data/code deposit, README, or AEA Data Editor prepaeri-replication-package
Want to understand the fast review / conditional-accept-vs-reject oddsaeri-referee-strategy
Ready to submit via the AEA portal; need a preflightaeri-submission
Received a conditional accept; need a short, decisive responseaeri-rebuttal

Default order

  1. aeri-topic-selection — confirm ONE crisp, important, well-identified insight that stands alone
  2. aeri-literature-positioning — stake the contribution in one or two paragraphs
  3. aeri-identification — make the design or parameter identification clean and self-contained
  4. aeri-theory-model — keep only the model the single insight requires
  5. aeri-robustness — the few in-text checks that matter; rest to the appendix
  6. aeri-tables-figures — at most five exhibits, no significance asterisks
  7. aeri-writing-style — lead with the result; enforce the word budget (abstract + intro last)
  8. aeri-replication-package — assemble the AEA-compliant data/code package
  9. aeri-referee-strategy — calibrate expectations for the fast, decisive process
  10. aeri-submission — AEA portal preflight (word count + exhibit count)
  11. aeri-rebuttal — after the conditional accept

aeri-writing-style is a late-stage polish, but the word cap is a constraint from day one — track it throughout, not at the end.

Anti-patterns

  • Treating AER: Insights like a short AER: keeping a second and third result instead of cutting to one
  • Letting aeri-tables-figures polish a sixth exhibit that should not exist
  • Skipping aeri-replication-package until acceptance — the AEA Data Editor checks before publication
  • Planning for a multi-round R&R that AER: Insights does not offer

Routing by paper archetype

The single insight differs by archetype; enter the chain at the right link.

ArchetypeLikely first bottleneckEnter at
one clean causal estimate (DiD / RDD / IV / experiment)is the design credible AND is it a single headline number?aeri-topic-selection → aeri-identification
a sharp theoretical result / impossibilityis the model minimal and the result surprising?aeri-theory-model
a methodological point with one applicationdoes the method change a substantive answer in few pages?aeri-identification → aeri-robustness
a striking new fact / measurementis the fact important enough to stand alone, and robust?aeri-topic-selection → aeri-robustness

Worked routing example (illustrative)

A user says: "My field experiment has a clean main effect, but I also estimated three heterogeneity splits and a structural extension, and the draft is 9,500 words." That is the canonical AER: Insights problem — one good insight buried under a multi-result, over-cap paper. Route first to aeri-topic-selection to confirm the single headline effect is the paper, then aeri-robustness and aeri-tables-figures to move the heterogeneity and the structural extension to the Supplemental Appendix, then aeri-writing-style to land the draft under the 7,000-word (minus exhibits) cap.

Minimal decision snippet

if decision_letter_arrived:          -> aeri-rebuttal
elif ready_to_submit:                -> aeri-submission
elif over_cap_or_too_many_exhibits:  -> aeri-tables-figures / aeri-writing-style
elif robustness_sprawling:           -> aeri-robustness
elif model_bloated:                  -> aeri-theory-model
elif identification_shaky:           -> aeri-identification
elif contribution_fuzzy:             -> aeri-literature-positioning
else:                                -> aeri-topic-selection

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

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.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

See all skills by brycewang-stanford

Report a problem with this skill