Agent skill · Data & Analytics

jape-workflow

Use when planning the full Journal of Applied Econometrics (JAE) manuscript lifecycle end to end — confirming an applied (not pure-theory) fit, running reproducible analysis under the 35-page limit, and staging the mandatory JAE Data Archive deposit. Orchestrator skill; routes to the other eleven.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-workflow --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Journal-of-Applied-Econometrics-Skills/skills/jape-workflow/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

# JAE Manuscript Workflow (jape-workflow) ## When to trigger - Starting a paper aimed at the Journal of Applied Econometrics and wanting the whole path mapped - Deciding which JAE-specific skill to invoke next - Sanity-checking that a project fits JAE's empirical, replicable scope ## Orient first JAE (Wiley, since 1986, Editor-in-Chief Barbara Rossi, 7 issues/year) publishes **applied** econometrics — techniques applied to **real data**, not pure theory. Its signature is **reproducibility**: accepted papers must deposit a complete set of non-confidential data (and typically code) in the **JAE Data Archive** (running since 1994, now hosted at ZBW). Plan that deposit from day one; it is not an afterthought. ## Lifecycle → owning skill 1. **Fit & framing** — application on real data, not a theorem → `jape-topic-selection`, `jape-contribution-framing` 2. **Positioning** — applied-econometrics precedent + JAE corpus → `jape-literature-positioning` 3. **Design** — credible identification defended on real data → `jape-identification-strategy` 4. **Analysis** — reproducible estimation, robust inference → `jape-data-analysis` 5. **Exhibits** — within the **35-page** limit; detail to the unl

What's inside
Steps it walks through
  1. When to trigger
  2. Orient first
  3. Lifecycle → owning skill
  4. Anti-patterns
  5. Final-week gate
  6. Stage gates with archive checkpoints
  7. Failure modes by lifecycle stage
  8. Worked routing decision (illustrative)
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jape-workflow skill do?

Use when planning the full Journal of Applied Econometrics (JAE) manuscript lifecycle end to end — confirming an applied (not pure-theory) fit, running reproducible analysis under the 35-page limit, and staging the mandatory JAE Data Archive deposit. Orchestrator skill; routes to the other eleven.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-workflow --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