Agent skill · Content & Marketing

jams-topic-selection

Use when choosing or sharpening the research question for a Journal of the Academy of Marketing Science (JAMS) manuscript — confirming it is a broad, managerially consequential marketing-science question and routing it away from sibling marketing journals. Frames the question; it does not build the theory (jams-theory-development) or run the analysis.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-topic-selection/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

# Topic Selection (jams-topic-selection) ## When to trigger - You have a marketing finding or dataset but no crisp, JAMS-sized question - A coauthor asks "is this a JAMS paper, or does it belong at JM / JMR / Marketing Science / JCR?" - The question feels narrow, niche, or like a single-context replication - You can state a method but not the **marketing decision** the answer would change ## What a JAMS question looks like JAMS is the **Academy of Marketing Science** flagship and the discipline's broad marketing-science outlet. A JAMS-grade question has three properties at once: 1. **Substantive and broad.** It speaks to one of JAMS's core domains — marketing strategy and firm performance, B2B/industrial marketing, services, retailing and channels, sales-force management, branding, innovation/NPD, the marketing–finance interface, sustainability/stakeholder marketing, or consumer behavior — not a hyper-local curiosity. 2. **Theoretically generative.** It promises a *mechanism or framework*, not just a correlation. JAMS rewards papers that explain **why** a marketing relationship holds and **when** it reverses. 3. **Managerially consequential.** A real decision maker (CMO, brand mana

What's inside
Steps it walks through
  1. When to trigger
  2. What a JAMS question looks like
  3. Route it against the siblings before committing
  4. Sharpen the question
  5. Stress-test the question before you commit months to it
  6. Anchor the question to a JAMS domain explicitly
  7. Phenomenon-first vs. theory-first entry
  8. Checklist
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jams-topic-selection skill do?

Use when choosing or sharpening the research question for a Journal of the Academy of Marketing Science (JAMS) manuscript — confirming it is a broad, managerially consequential marketing-science question and routing it away from sibling marketing journals. Frames the question; it does not build the theory (jams-theory-development) or run the analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-topic-selection --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