Agent skill

jbes-contribution-framing

Use when sharpening the core methodological contribution of a Journal of Business & Economic Statistics (JBES) paper into one legible claim that pairs novelty with empirical relevance. Frames the contribution; it does not develop the theory or run the analysis.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-contribution-framing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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

# Contribution Framing (jbes-contribution-framing) ## When to trigger - The paper has results but the "what is the contribution?" answer is muddy - Reviewers/co-authors disagree on whether the paper is a method paper, an application, or both - The introduction lists many small points instead of one organizing contribution - You need a one-sentence pitch the handling Co-Editor can grasp on a first read ## The JBES contribution shape: novelty × relevance A JBES contribution is not "we found an empirical result" and not "we proved a theorem." It is a **method-level claim with an empirical consequence**: *we develop/improve method M so that practitioners can now do D in setting S, which prior methods could not.* Because JBES sits between modern data science and classical econometrics, the framing must make the **methodological delta** explicit (what is new about M) **and** the **empirical relevance** explicit (why D in S matters). A contribution naming only one of these reads as off-scope for a methods-with-empirics journal. ## Framing protocol 1. **Write the one-sentence claim.** Template: "We propose [method], which [methodological advance — relaxes/extends/accelerates], enabling [em

What's inside
Steps it walks through
  1. When to trigger
  2. The JBES contribution shape: novelty × relevance
  3. Framing protocol
  4. Checklist
  5. Anti-patterns
  6. Worked vignette: framing a synthetic-control inference contribution
  7. Referee-pushback patterns on the contribution (venue-specific fixes)
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jbes-contribution-framing skill do?

Use when sharpening the core methodological contribution of a Journal of Business & Economic Statistics (JBES) paper into one legible claim that pairs novelty with empirical relevance. Frames the contribution; it does not develop the theory or run the analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-contribution-framing --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 984 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