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amr-submission

Use when running the final pre-submission preflight for an Academy of Management Review (AMR) manuscript — ScholarOne portal, AOM format and length, abstract, anonymization for review, references, ethics/originality, and required files.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amr-submission

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Supported Platforms

Universal

Our assessment of amr-submission

amr-submission scores 88/100 on our quality scale, 1619th of 4,615 Development & Engineering skills we index (top 36%).

Its SKILL.md is 6.1 KB long, well organised into 14 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 19 days ago, so amr-submission is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

amr-submission compared with similar skills

All 4 of these similar skills score higher than amr-submission; compare them before choosing.

SkillScoreStarsUpdatedFormat
amr-submission (this skill)by brycewang-stanford881.2k19d agoSKILL.md
ai-job-searchby MadsLorentzen10044.9k1d agoCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k11d agoSKILL.md
pptxby anthropics100177.9k11d agoSKILL.md

Frequently asked questions

How do I install amr-submission?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amr-submission. The install tabs above show the steps for each supported agent.
Which AI agents does amr-submission work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is amr-submission safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is amr-submission still maintained?
The repository was last updated 19 days ago, so amr-submission is actively maintained.

name: amr-submission description: Use when running the final pre-submission preflight for an Academy of Management Review (AMR) manuscript — ScholarOne portal, AOM format and length, abstract, anonymization for review, references, ethics/originality, and required files. Theory-only journal; there is no data-availability or replication step.

Pre-Submission Preflight (amr-submission)

AMR is theory-only. There is no dataset, code, or replication package to deposit. The preflight centers on the theory paper's format, anonymization, and AOM ethics — not on empirical materials.

When to trigger

  • "I'm about to submit to AMR"
  • Final check before clicking submit in ScholarOne
  • Unsure which files the portal expects for a conceptual paper

Pre-submission checklist

Scope & fit

  • [ ] The paper builds new theory (constructs / process model / reconceptualization), not an empirical study
  • [ ] It enters and "challenges and extends" a specific theoretical conversation
  • [ ] There is no data, no measures, no statistical test anywhere in the manuscript
  • [ ] Fit confirmed against the current AMR aims & scope (verify on the official page)

Format (verify exact current requirements on the AOM author page)

  • [ ] Manuscript is a Word file using Times New Roman 12-point body text, double spacing, 1-inch margins, and no page numbers or running heads
  • [ ] Title page separate from the manuscript body (for anonymous review)
  • [ ] Abstract present and no more than 200 words
  • [ ] Within the journal's overall length expectation (verify; AMR articles are full-length)
  • [ ] Figures meet AOM resolution/format specs; each is a conceptual model/typology, not a data plot
  • [ ] Propositions numbered consistently and matched to the figure

Anonymization for double-anonymous review

  • [ ] No author-identifying content in the manuscript body
    • Self-citations phrased neutrally ("prior work (Author, 2020)"), not "in our earlier paper"
    • Acknowledgments removed from the body (added after acceptance)
    • Funding/grant identifiers kept out of the body
  • [ ] Document file properties scrubbed of author name/affiliation
  • [ ] File names contain no author or institution name

References & citations

  • [ ] AOM author–date in-text citations; full reference list per the AOM Style Guide
  • [ ] Every in-text citation appears in the reference list and vice versa
  • [ ] The recent, live conversation in the target stream is cited, not only seminal works
  • [ ] All references are real and accurately quoted (no fabricated or mis-cited sources)

Ethics & originality (AOM Code of Ethics)

  • [ ] Manuscript is original, unpublished, and not under review elsewhere
  • [ ] Authorship reflects genuine intellectual contribution; order agreed by all authors
  • [ ] Any prior conference/working-paper version is disclosed as required
  • [ ] Similarity check run (institutional tool); overlap acceptable and self-overlap disclosed

Portal files (ScholarOne)

  • [ ] Anonymized main manuscript (body + figures + references), required format
  • [ ] Separate title page with author info and corresponding author
  • [ ] Cover note / response to editor if requested
  • [ ] Any author-agreement or conflict-of-interest forms the system requires

Desk-reject triggers to preempt

  1. It's an empirical study (reports data, tests hypotheses) — the defining AMR desk reject.
  2. Incremental theory — a minor extension with no new construct or mechanism.
  3. A literature review with no original theoretical move (AMR is not a review journal).
  4. Construct proliferation — relabeling existing ideas (cf. Suddaby, AMR 2010, DOI 10.5465/amr.2010.0419).
  5. Untestable-in-principle or tautological propositions (AMR's scope demands "testable knowledge-based claims").
  6. Poor fit/scope or anonymization/formatting failures.

ScholarOne operation notes

  • AMR uses ScholarOne Manuscripts (Manuscript Central) at https://mc.manuscriptcentral.com/amr; register and submit through the AMR portal linked from the AOM author resources page.
  • Enter author metadata only in the system, never in the anonymized manuscript.
  • Suggested/opposed reviewers: provide only if the system asks and per its limits.
  • Choose the correct submission/article type (theoretical/conceptual article).
  • Submission fee: none — the Academy of Management does not charge submission fees. New users establish a ScholarOne account with name, affiliation, address details, and keywords before using the Author Center; check any portal-stage prompts at submission time.
  • Keep within the file-size and file-type limits the portal states.

Anti-patterns

  • Submitting a paper that is really an empirical study or a literature review
  • Author identity leaking through "our prior study," acknowledgments, or file properties
  • Reference list missing the recent conversation reviewers belong to
  • Figures that are data plots (impossible at AMR) or undefined boxes-and-arrows
  • Forgetting to scrub document metadata after a final edit
  • Over-length manuscript that ignores the current limit (verify before submitting)

Output format

【Scope】builds new theory, no data: yes / fix
【Format】double-spaced / abstract within limit / figures conceptual: pass / fix
【Anonymization】body + properties + filenames clean: yes / fix
【References】AOM style; recent conversation cited; all real: yes / fix
【Ethics】original, not under review, authorship correct: yes / fix
【Portal files】anonymized MS + title page + forms: complete / missing [...]
【Next step】await decision → amr-review-process; R&R → amr-rebuttal

Related resources

  • templates/manuscript_template.md — Standard AMR conceptual-article skeleton (puzzle intro, theory development, propositions, conceptual model, discussion)
  • templates/checklist.md — 8-section pre-submission self-check (scope / format / anonymization / abstract / theory / figures / references / ethics & portal)
  • ../../resources/external_tools.md — Theory-building tools (citation mapping, reference managers, conceptual-diagram software, argument-logic aids)

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated19d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
amr-submission — Universal Skill: Install & Safety Check | SkillAgent