aejpol-literature-positioning
Use when placing the contribution against the policy-evaluation literature and sharpening it as a policy answer for an AEJ: Economic Policy manuscript. Stakes the contribution and the policy-relevant "so what"; it does not write the full introduction or design the identification.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-literature-positioningInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of aejpol-literature-positioning
aejpol-literature-positioning scores 85/100 on our quality scale, 2225th of 4,610 Development & Engineering skills we index (top 49%).
Its SKILL.md is 5.6 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 aejpol-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.
aejpol-literature-positioning compared with similar skills
All 4 of these similar skills score higher than aejpol-literature-positioning; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aejpol-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 aejpol-literature-positioning?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-literature-positioning. The install tabs above show the steps for each supported agent. - Which AI agents does aejpol-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 aejpol-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 aejpol-literature-positioning still maintained?
- The repository was last updated 18 days ago, so aejpol-literature-positioning is actively maintained.
Skill content
View source on GitHubname: aejpol-literature-positioning description: Use when placing the contribution against the policy-evaluation literature and sharpening it as a policy answer for an AEJ: Economic Policy manuscript. Stakes the contribution and the policy-relevant "so what"; it does not write the full introduction or design the identification.
Literature Positioning & Contribution Framing (aejpol-literature-positioning)
When to trigger
- The contribution vs. existing policy evaluations is fuzzy, or sounds like "we add another estimate"
- A referee asks "what do we learn beyond [prior study of this or a similar policy]?"
- The literature review is a list of citations rather than a map of the open policy question
- You need to frame the contribution so the policy lesson, not the method, is the news
How AEJ: Policy contributions are staked
At AEJ: Policy the contribution is a better answer to a policy question, not a new estimate for its own sake. Position the paper on three axes and make the policy reading the headline:
- The policy-design gap. What does a policymaker still not know — the sign, the magnitude, the cost-effectiveness, the incidence, the optimal level, or the external validity of an existing estimate? State the gap as something a decision-maker would care about.
- The credibility upgrade. If prior evidence exists, say why yours is more credible (cleaner design, better data, a policy variation that breaks a confound, a setting that fixes external-validity worries) — but only as a means to a sharper policy answer.
- The welfare/cost-benefit advance. The distinctive AEJ: Policy move: convert estimates into a welfare or cost-benefit statement (MVPF, cost-per-outcome, incidence, deadweight loss) that prior work left implicit. This is often the real contribution.
Positioning patterns that land
- "Prior work estimates the effect; we show whether it is worth it" (adds the cost-benefit reading).
- "Estimates exist for setting A; we show they do/do not travel to the policy-relevant setting B" (external validity for policy).
- "The textbook prescription assumes X; we show the policy-relevant elasticity implies a different optimum" (re-optimizing the policy).
- "Reduced-form effects were known; we recover the sufficient statistic the welfare calculation needs" (links to
aejpol-theory-model).
Citation discipline (AEA house)
Author–year throughout; cite the canonical methods papers behind your design (e.g., modern DID, RDD) and the key policy-evaluation papers on this and adjacent policies — referees expect you to know the policy literature, not only the econometrics.
Checklist
- [ ] The open policy question is stated as a gap a decision-maker would recognize
- [ ] Contribution framed as a sharper policy answer, not "one more estimate"
- [ ] If prior estimates exist, the credibility or welfare upgrade is explicit
- [ ] At least one contribution bullet is a welfare/cost-benefit/distributional advance
- [ ] Both the relevant policy literature and the methods literature are cited (author–year)
- [ ] No overclaim of novelty that a referee can puncture with one citation
Anti-patterns
- "We provide new evidence on X" with no statement of what was unknown and why it matters for policy
- A literature review that is a taxonomy of papers, not a map to the open policy question
- Claiming to be first while ignoring a close policy-evaluation paper (fast desk-reject signal)
- Positioning purely on identification cleverness with no policy-design or welfare advance
- Numbered
[1][2]citations instead of AEA author–year
Referee pushback mapped to the fix
- "What do we learn beyond [prior study of this policy]?" → State the specific policy-design gap (sign / magnitude / cost-effectiveness / incidence / external validity) you close, not "new evidence."
- "This duplicates a known result." → Lead with the credibility or welfare upgrade; show the prior estimate could not deliver the cost-benefit reading you do.
- "Novelty is overstated." → Cite the closest paper explicitly and scope your claim to the margin you actually advance.
Worked vignette (illustrative)
A draft on a carbon tax says "we estimate the emissions response." Referees note three prior estimates exist. Repositioned: the prior estimates ignore the revenue-recycling margin; this paper recovers the response and the incidence of the recycled revenue, so it can state the net welfare cost per ton abated under alternative recycling rules (illustrative) — a cost-benefit advance no prior estimate delivered. The contribution is now a policy answer, not a fourth elasticity.
How the three contribution bullets read in the intro
A strong AEJ: Policy intro states the contribution as up to three numbered moves, at least one of them a welfare advance: (1) credibility — "we exploit [variation] that prior work could not, removing [confound]"; (2) magnitude / external validity — "we provide the policy-relevant estimate for [population/scale] where prior estimates do not travel"; (3) welfare — "we convert the effect into [MVPF / cost-per-outcome / incidence], the object a policymaker needs." Keep each to one sentence and make the welfare bullet the one a reader remembers.
Output format
【Open policy question / gap】what a decision-maker still does not know
【Closest prior work】1–3 papers + the specific limitation you address
【Contribution bullets】(a) credibility / (b) magnitude / (c) welfare-cost-benefit — ≥1 must be welfare
【Policy "so what"】one sentence a non-specialist policymaker would grasp
【Next step】aejpol-identification (design) or aejpol-theory-model (welfare mapping)
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
