Agent skill · Data & Analytics

jmgmt-theory-development

Use when the theoretical argument is the bottleneck for a Journal of Management (JOM) manuscript — building constructs, mechanisms, boundary conditions, and a priori hypotheses (or a review's organizing framework). Constructs the theory; it does not run the analysis (jmgmt-data-analysis) or write the contribution paragraph (jmgmt-contribution-framing).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmgmt-theory-development --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-Management-Skills/skills/jmgmt-theory-development/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

# Theory Development (jmgmt-theory-development) ## When to trigger - Hypotheses read as bald predictions ("A is positively related to B") with no mechanism - You have results and are tempted to write hypotheses around them (HARKing risk) - The argument leans on one borrowed theory name (e.g., "social exchange") without using its logic - Mediators/moderators sit in the data but are not theorized - A meta-analysis or review needs an **organizing framework**, not just a coding scheme - A reviewer says "the theory is thin," "underdeveloped," or "why would this be true?" ## The JOM theory bar JOM publishes empirical, theoretical, *and* review work, but in every case the **theoretical contribution is the gate**. For an empirical paper, each hypothesis must be **derived from an articulated mechanism, before the results are known**, and a reader should finish the front end understanding *why* the effect occurs and *under what conditions* it strengthens or reverses. For a **meta-analysis**, the synthesis must be organized by theory so that moderators *adjudicate* competing accounts — JOM does not reward a coefficient census. For a **systematic review** (Review Issue), the deliverable is an

What's inside
Steps it walks through
  1. When to trigger
  2. The JOM theory bar
  3. Building a hypothesis (the mechanism chain)
  4. Constructs earn their keep
  5. Mediation, moderation, and rival theories
  6. Theory for a review or meta-analysis
  7. Worked vignette (illustrative)
  8. Checklist
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jmgmt-theory-development skill do?

Use when the theoretical argument is the bottleneck for a Journal of Management (JOM) manuscript — building constructs, mechanisms, boundary conditions, and a priori hypotheses (or a review's organizing framework). Constructs the theory; it does not run the analysis (jmgmt-data-analysis) or write the contribution paragraph (jmgmt-contribution-framing).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmgmt-theory-development --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