Agent skill · Data & Analytics

jm-theory-development

Use when building the conceptual logic for a Journal of Marketing (JM) manuscript — grounding theory in a real-world marketing phenomenon, deriving predictions, and accommodating an empirics-first route. Builds the argument; it does not select the question (jm-topic-selection) or run the analysis (jm-data-analysis).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jm-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: 4 KB
Bundled scripts: none
Path: Journal-of-Marketing-Skills/skills/jm-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, Phenomenon-First (jm-theory-development) ## When to trigger - The phenomenon and question are set; you need a defensible conceptual argument - Reviewers will ask "why does this happen?" and "what is the mechanism?" - You have a strong empirical pattern but no organizing logic (empirics-first) - You are tempted to bolt a generic theory onto a marketing finding ## JM's theory stance: serve the substantive question Unlike theory-first flagships, JM does not reward theoretical machinery for its own sake. Its bar is **substantive insight into a real marketing question**. Theory in a JM paper earns its place by **explaining a consequential marketing phenomenon** and yielding predictions that, when tested, change how managers, policy makers, or society understand the market. The official editorial guidelines frame JM as a bridge between scholarly and practical stakes, so build the *minimum sufficient* conceptual structure that makes the phenomenon intelligible and the predictions sharp. ## Two legitimate routes into JM 1. **Theory-first**: a clear mechanism generates predictions, then data test them. Standard, accepted. 2. **Empirics-first**: a robust, surprising rea

What's inside
Steps it walks through
  1. When to trigger
  2. JM's theory stance: serve the substantive question
  3. Two legitimate routes into JM
  4. Build the conceptual logic
  5. Checklist
  6. Anti-patterns
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jm-theory-development skill do?

Use when building the conceptual logic for a Journal of Marketing (JM) manuscript — grounding theory in a real-world marketing phenomenon, deriving predictions, and accommodating an empirics-first route. Builds the argument; it does not select the question (jm-topic-selection) or run the analysis (jm-data-analysis).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jm-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.

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