msom-submission
Use when running the final pre-submission preflight for a Manufacturing & Service Operations Management (M&SOM) manuscript — the ScholarOne portal, double-anonymous anonymization, the 32-page typeset cap on the official template, the structured abstract, author-chosen Department routing with two preferred Department Editors, and data/code disclosure. Checks readiness to submit; it does not handle the post-decision response (msom-rebuttal).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill msom-submission --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pre-Submission Preflight (msom-submission) ## When to trigger - "We're submitting this week" — the last check before hitting submit - Unsure what ScholarOne requires or which Department/Department Editors to pick - Need to confirm double-anonymous anonymization is complete - Verifying the manuscript fits the 32-page typeset cap on the official template > Before submitting, check the official M&S
What does the msom-submission skill do?
Use when running the final pre-submission preflight for a Manufacturing & Service Operations Management (M&SOM) manuscript — the ScholarOne portal, double-anonymous anonymization, the 32-page typeset cap on the official template, the structured abstract, author-chosen Department routing with two preferred Department Editors, and data/code disclosure. Checks readiness to submit; it does not handle the post-decision response (msom-rebuttal).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill msom-submission --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.