A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Jams Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-topic-selection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-topic-selection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-topic-selection .claude/skills/jams-topic-selection && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jams-topic-selection
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
951 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 3 steps: Substantive and broad. It speaks to one… → Theoretically generative. It promises a… → Managerially consequential. A real…
  • Sharpening the research question for a Journal of the Academy of Marketing Science (JAMS) manuscript — confirming it is a broad
  • SKILL.md covers When to trigger, What a JAMS question looks like, Route it against the siblings… and Sharpen the question, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jams Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Hypothesis generation. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • 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

Example prompts

  • “/jams-topic-selection”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Substantive and broad. It speaks to one of JAMS's core domains — marketing strategy and firm performance, B2B/industrial marketing…
  2. Theoretically generative. It promises a mechanism or framework, not just a correlation. JAMS rewards papers that explain why a marketing…
  3. Managerially consequential. A real decision maker (CMO, brand manager, sales VP, channel partner, policy maker) would act differently if…

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jams Topic Selection loads about 1.9k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 951 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 951 words, ~1,924 tokens.

Download SKILL.mdSave it as .claude/skills/jams-topic-selection/SKILL.md (or your agent's skills folder).
name
jams-topic-selection
description
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.

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 manager, sales VP, channel partner, policy maker) would act differently if the answer came out one way vs. another. This managerial stake is JAMS's signature, not a courtesy paragraph.

If you can only satisfy two of the three, the question is not yet a JAMS question. A broad + managerial question with no theory is consulting; a theory + broad question with no managerial edge drifts toward the modeling or consumer-theory siblings.

Route it against the siblings before committing

If the paper's center of gravity is…The better home is…JAMS keeps it when…
Strategy / managerial thought-leadership, big substantive impactJournal of Marketing (JM)the contribution is a measurement-rich framework with strong method, broad marketing-science fit
A methods/measurement advance or a clean identification resultJournal of Marketing Research (JMR)method serves a substantive marketing mechanism, not vice versa
An analytical/quant model, equilibrium, or estimation methodMarketing Sciencethe work is empirical with a managerial framework, not modeling-first
Consumer psychology / interpretive consumer theory for its own sakeJournal of Consumer Research (JCR)consumer insight is embedded in a broader marketing-strategy/managerial question

JAMS's sweet spot is the broad marketing-science question with construct-based theory, strong empirics, and an explicit manager takeaway — the union the siblings each cover only partly.

Sharpen the question

  • Write the question as one sentence: "Does/How does [marketing construct X] affect [outcome Y] for [unit], and under what conditions?"
  • Name the outcome managers care about in managerial units (sales, share, CLV, margin, retention, brand equity, firm value).
  • Name the moderators/boundary conditions that make it a contingency story, not a main effect.
  • Identify the JAMS audience segment that would champion it — and the one that would desk-reject it as out of scope or incremental.

Stress-test the question before you commit months to it

  • The reversal test. Could the relationship plausibly go the other way, or flip under a condition? If both directions are defensible, you have a genuine empirical question; if the answer is obvious, the contribution is thin.
  • The "imagine the result" test. Sketch the headline finding as if it were already in. Does it change a marketing decision? If neither outcome would alter what a manager does, the question lacks managerial stake.
  • The generalizability test. Does the answer travel beyond the one dataset/context, or is it bound to a single firm's idiosyncrasy? JAMS wants insight that generalizes across the marketing-science domain.
  • The feasibility test. Can you actually measure the focal constructs validly and identify the effect with the data you can get? A great question you cannot execute is a dead end — check this with jams-methods early.
Show full SKILL.md (362 more words)Show less

Anchor the question to a JAMS domain explicitly

JAMS is broad but not boundless. Before committing, name which core domain your question sits in — marketing strategy and performance, B2B/industrial marketing, services, retailing/channels, sales-force management, branding, innovation/NPD, the marketing–finance interface, sustainability/stakeholder marketing, or consumer behavior — and confirm the question advances that domain's conversation. A question that cannot be filed under a JAMS domain is a fit risk; a question that sits squarely in one but ignores its recent literature reads as incremental. The strongest JAMS questions sit at the intersection of two domains (e.g., branding × marketing–finance, services × innovation), where a contingency or mechanism has not yet been worked out.

Phenomenon-first vs. theory-first entry

A JAMS question can originate two ways, and both are legitimate so long as the destination is the same broad, theory-generative, managerial question:

  • Phenomenon-first: you notice a real, consequential marketing pattern (a pricing response, a channel shift, a brand reversal, a sales-allocation puzzle) and ask why it happens. This often yields the most managerially vivid JAMS papers, but you must still build the theory to explain the pattern (hand off to jams-theory-development) rather than report it.
  • Theory-first: you start from a marketing-theory tension or an untested boundary condition and design a study to resolve it. Cleaner theoretically, but verify it has a real managerial stake before committing.

Either way, the deliverable from this stage is a question, not a finding — declare which entry you took so the framework you build next is honest.

Checklist

  • One-sentence question with construct, outcome, unit, and conditions
  • All three properties present: broad marketing-science, theory-generative, managerially consequential
  • Outcome expressible in a managerial unit
  • Sibling routing decided explicitly (why JAMS, not JM/JMR/MktSci/JCR)
  • At least one boundary condition / moderator identified
  • The paper is not a single-context replication dressed up as new
  • The question survives the reversal, imagine-the-result, generalizability, and feasibility tests

Anti-patterns

  • A narrow, single-industry curiosity with no broad marketing-science reach
  • A method or model looking for an application (route to JMR / Marketing Science instead)
  • "Managers should pay attention to X" with no decision a manager would change
  • A main-effect-only question with no contingency or mechanism
  • New-context replication ("X, but in country/industry/platform Z") framed as novelty

Output format

text
【Journal】Journal of the Academy of Marketing Science (JAMS)
【Question】one sentence: construct → outcome (managerial unit), conditions
【Three-property check】broad✓/theory✓/managerial✓ or the missing one
【Why JAMS not sibling】JM / JMR / MktSci / JCR boundary reasoned
【Audience champion vs. desk-reject risk】[...]
【Source status】verified / 待核实 / 检索于 2026-06
【Next skill】jams-theory-development

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Jams Topic Selection

What does Jams Topic Selection do?

A skill your agent uses 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…. Jams Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Jams Topic Selection?

Jams Topic Selection fits situations like: 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.

How do I install Jams Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-topic-selection -a claude-code`. Or copy the skill folder (Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jams-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Jams Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-topic-selection -a codex`. Or copy the skill folder (Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jams-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Jams Topic Selection in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jams-topic-selection, .gemini/skills/jams-topic-selection, .github/skills/jams-topic-selection and .opencode/skills/jams-topic-selection in your project.

What does Jams Topic Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Jams Topic Selection is instructions for the agent only.

Does Jams Topic Selection access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jams Topic Selection safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Jams Topic Selection use?

Jams Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jams Topic Selection use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Jams Topic Selection?

Skills that share tags, products or a category with Jams Topic Selection: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jams Topic Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.