A skill your agent uses when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental…

MITAuto-check passed

Install Jams Review Process

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-review-process --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-review-process .claude/skills/jams-review-process && 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-review-process
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
837 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental…

  • Understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow
  • SKILL.md covers When to trigger, How JAMS review works, Likely decisions and Reading the decision letter, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The double-anonymized developmental review

What it does

Jams Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental review, the area-editor structure, the dual theory-and-managerial evaluation bar, and how to read a decision letter. Explains the process and reads the letter; it does not draft the response (jams-rebuttal).

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.

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

  • Understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow
  • The double-anonymized developmental review
  • The area-editor structure
  • The dual theory-and-managerial evaluation bar

Example prompts

  • “/jams-review-process”

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 Review Process loads about 1.9k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 837 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
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). 837 words, ~1,859 tokens.

Download SKILL.mdSave it as .claude/skills/jams-review-process/SKILL.md (or your agent's skills folder).
name
jams-review-process
description
Use when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental review, the area-editor structure, the dual theory-and-managerial evaluation bar, and how to read a decision letter. Explains the process and reads the letter; it does not draft the response (jams-rebuttal).

Review Process (jams-review-process)

When to trigger

  • Before submitting, to set realistic expectations about JAMS review
  • A decision letter arrived and you need to interpret it before responding
  • You are unsure who decides at JAMS and what reviewers are told to weigh
  • You want to know what conditional acceptance triggers (data/code deposit)

How JAMS review works

  • Double-anonymized. Authors and reviewers are concealed from each other; keep every round anonymized, including revised files and any preregistration links.
  • Developmental philosophy. JAMS, like the AMS journals, runs a developmental review — area editors and reviewers aim to improve promising papers across rounds, not merely gatekeep. A well-run R&R is the realistic best case; first-round acceptance is essentially unheard of.
  • Decision structure. Manuscripts are handled by an Area / Associate Editor under the Co-Editors-in-Chief (Stephanie M. Noble and Charles H. Noble, University of Tennessee, since June 2024 — verified 2026-06-22; re-verify the masthead before submission). Your keyword/area choices in Editorial Manager influence routing, so choose them to reach the right editor and reviewers.
  • What reviewers weigh. JAMS's evaluation is dual: (1) a genuine theoretical contribution to a broad marketing-science question, and (2) a clear managerial contribution — what a decision maker should do. Expect probes on construct validity / CMV (survey), endogeneity / identification (secondary data), mechanism and power (experiments), and on whether the contribution is more than a new-context replication.
  • Integrity. Springer plagiarism screening; no concurrent submission; research-data and ethics policies apply.

Likely decisions

DecisionWhat it means
Desk rejectOut of scope, not a broad marketing-science contribution, or no managerial relevance
Reject (after review)Theoretical or managerial contribution, or identification/validity, judged insufficient
Major revision (R&R)Promising core; substantial work required (often multi-round)
Minor revisionContribution sound; targeted fixes
Conditional acceptanceTriggers final transparency steps — data/code availability statement and any required deposit

Reading the decision letter

  • Read the AE/editor letter first — it states the path to acceptance and which concerns are decisive ("must address") versus secondary.
  • Cluster reviewer comments by theme: theoretical contribution, managerial relevance, construct validity/measurement, identification/analysis, positioning, exposition.
  • Flag the gatekeeping themes — any comment touching the theoretical-contribution or managerial-relevance bar is top priority; these are JAMS's twin gates.
  • Separate new-data/analysis requests from reframing requests — they have very different timelines.
  • Anticipate transparency — if nearing conditional acceptance, prepare the data/code availability statement and any repository deposit.

Calibrate expectations before you submit

  • First-round R&R, not acceptance, is the goal. JAMS's developmental review means most successful papers go through two or more revision rounds; budget months, not weeks, between rounds.
  • Desk-reject risk is highest on scope and relevance. A paper that is narrow, modeling-first, purely consumer-psychology, or missing a managerial implication is the most common early casualty — fix fit (jams-topic-selection) before submitting.
  • Reviewer continuity matters. The same reviewers usually see your revision, so a response that visibly addresses their concern (not a generic improvement) is what advances the paper.
  • Routing is partly in your hands. Keyword and area-of-interest choices in Editorial Manager steer the manuscript toward an area editor whose domain matches the paper; a mismatch slows the process and risks an unsympathetic read.
Show full SKILL.md (335 more words)Show less

Where JAMS differs from the siblings' processes

  • vs. JM (AMA): JM is double-anonymized via ScholarOne with a Coeditor structure and a hard page limit; JAMS runs on Springer Editorial Manager with an area-editor structure and article-type guidance rather than one fixed page cap.
  • vs. JMR: JMR enforces exact three-digit p-values and a Web Appendix convention; JAMS emphasizes construct validity and the managerial contribution more than a single statistics-reporting rule.
  • vs. Marketing Science / JCR: those weigh modeling rigor or consumer-theory depth respectively; JAMS will not accept a paper strong on one of those but thin on the managerial takeaway.

After the decision: the immediate moves

  • Desk reject: re-evaluate fit before resubmitting elsewhere — a scope/relevance desk reject usually means the paper needs jams-topic-selection and jams-contribution-framing work, not a quick reformat.
  • Reject after review: mine the reports for the decisive flaw; if it is fixable (identification, validity, a missing study), the work may suit a sibling or a later JAMS resubmission as a new paper — but do not re-submit the same paper to JAMS without a fundamental change.
  • R&R (major/minor): move straight to jams-rebuttal; revise the manuscript before drafting the letter, and lead with the editor's decisive concerns.
  • Conditional acceptance: finalize the data/code availability statement and any repository deposit, confirm declarations, and complete the production checklist.

Throughout, keep the manuscript and all correspondence anonymized until a decision releases that requirement; reviewers see your revisions, and a slip that reveals identity can compromise the round.

Checklist

  • AE/editor letter parsed: decisive vs. secondary concerns identified
  • Reviewer comments clustered by theme
  • Theoretical-contribution and managerial-relevance comments flagged top priority
  • New-data vs. reframing requests separated for timeline planning
  • Validity/identification concerns (CMV, endogeneity) mapped to specific fixes
  • Conditional-acceptance transparency steps anticipated (data/code statement)

Anti-patterns

  • Treating all reviewer comments as equal, ignoring the editor's stated priorities
  • De-anonymizing yourself in a response or a revised file
  • Reading a major R&R as a near-accept and doing superficial edits
  • Neglecting the managerial-contribution comments because the theory comments feel weightier
  • Deferring data/code-availability prep until after conditional acceptance

Output format

text
【Decision】desk reject / reject / major R&R / minor / conditional accept
【Editor priorities】must-address: [...]; secondary: [...]
【Comment clusters】theory / managerial / measurement / identification / positioning / exposition
【Gatekeeper flags】theoretical + managerial contribution comments: [...]
【New data vs. reframing】[...]
【Transparency next】data/code availability + deposit readiness: [...]
【Next step】jams-rebuttal

© 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-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jams Review Process

What does Jams Review Process do?

A skill your agent uses when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental…. Jams Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow, the double-anonymized developmental review, the area-editor structure, the dual theory-and-managerial evaluation bar, and how to read a decision letter.

When should I use Jams Review Process?

Jams Review Process fits situations like: understanding how Journal of the Academy of Marketing Science (JAMS) review and decisions work — the Springer Editorial Manager flow; the double-anonymized developmental review; the area-editor structure; the dual theory-and-managerial evaluation bar.

How do I install Jams Review Process in Claude Code?

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

How do I install Jams Review Process in Codex?

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

Can I use Jams Review Process 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-review-process -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-review-process, .gemini/skills/jams-review-process, .github/skills/jams-review-process and .opencode/skills/jams-review-process in your project.

What does Jams Review Process need to run?

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

Does Jams Review Process 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 Review Process 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 Review Process use?

Jams Review Process 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 Review Process use?

About 1.9k tokens (SKILL.md is roughly 7.4k 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 Review Process?

Skills that share tags, products or a category with Jams Review Process: Claude Academy Guide (anthropics/skills, 180k stars), Video Understand (calesthio/OpenMontage, 66k stars), Understand Explain (Egonex-AI/Understand-Anything, 86k stars) and Understanding by Design Planner (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jams Review Process?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.