Agent skill · Data & Analytics

jegeo-replication-package

Use when assembling data, code, and spatial-data documentation for a Journal of Economic Geography (JEG) manuscript. Builds a credible, shareable package under JEG's encouragement-based post-acceptance policy; it does not invent data.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jegeo-replication-package --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Journal-of-Economic-Geography-Skills/skills/jegeo-replication-package/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Replication Package (jegeo-replication-package) ## When to trigger - The analysis uses spatial data (shapefiles, geocoded points, raster, network ties) whose provenance and processing are not documented - A referee asks "can this be reproduced?" and the answer is currently no - You are deciding what to share given JEG's policy and any confidentiality constraints - Spatial joins, projections, and unit-boundary versions were done interactively and are not scripted ## What JEG actually requires (and what it does not) JEG's data/code policy is **encouragement-based and triggered after acceptance**, not a mandatory pre-acceptance replication archive (检索于 2026-06;以官网为准). Authors are asked at acceptance whether associated data exist and whether they wish to publish them as supplementary material; ORCID is required at submission. This is a genuine point of difference from QE, AEJ, and the AEA journals, which run a Data Editor reproducibility check before acceptance. The practical implication: at JEG you are not forced to deposit, but a credible, well-documented package is a strong signal and pre-empts the reproducibility objection. **Build it as if it were required** — referees increasin

What's inside
Steps it walks through
  1. When to trigger
  2. What JEG actually requires (and what it does not)
  3. Spatial data is the hard part
  4. Confidential and proprietary spatial data
  5. Reproducibility tooling for spatial work
  6. Package contents
  7. Anti-patterns
  8. Worked vignette (illustrative)
  9. How JEG differs from the AEA/QE model (and why it matters)
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jegeo-replication-package skill do?

Use when assembling data, code, and spatial-data documentation for a Journal of Economic Geography (JEG) manuscript. Builds a credible, shareable package under JEG's encouragement-based post-acceptance policy; it does not invent data.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jegeo-replication-package --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going