A skill your agent uses when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract…

MITAuto-check passed

Install Aerj Submission

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-submission -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-submission --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/American-Educational-Research-Journal-Skills/skills/aerj-submission .claude/skills/aerj-submission && 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
aerj-submission
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
720 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract…

  • Length and abstract limits
  • SKILL.md covers When to trigger, Process facts (verified…, Preflight checklist and Anti-patterns, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • APA 7th-edition formatting

What it does

Aerj Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract limits, APA 7th-edition formatting, ORCID, and a separate title page. Final checks; it does not draft content.

Its SKILL.md is about 1.7k 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

  • Length and abstract limits
  • APA 7th-edition formatting
  • A separate title page

Example prompts

  • “/aerj-submission”

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

    Links to these hosts (documentation or services it may open):

    • mc.manuscriptcentral.com

    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

Aerj Submission loads about 1.7k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 720 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 720 words, ~1,661 tokens.

Download SKILL.mdSave it as .claude/skills/aerj-submission/SKILL.md (or your agent's skills folder).
name
aerj-submission
description
Use when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract limits, APA 7th-edition formatting, ORCID, and a separate title page. Final checks; it does not draft content.

Submission Preflight (aerj-submission)

The last check before pressing submit on ScholarOne Manuscript Central. AERJ is masked, so the single most common avoidable failure is an under-anonymized manuscript or identifying metadata. Verify volatile specifics on the official page before relying on them.

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure which files/metadata ScholarOne expects
  • Confirming length/abstract limits, masking, and APA compliance

Process facts (verified 2026-06-20; re-check live page before upload)

  • Owner / publisher: American Educational Research Association (AERA) / SAGE. AERJ is the flagship journal of AERA.
  • One integrated journal — do NOT choose a section. AERJ was formerly divided into Social and Institutional Analysis and Teaching, Learning, and Human Development sections, but the integrated AERJ began receiving new manuscripts on July 1, 2015 and publishing on January 1, 2016. Submit to the single integrated journal; do not pick between the former sections.
  • Portal: ScholarOne Manuscripts at https://mc.manuscriptcentral.com/aerj.
  • Review model: double-anonymous / masked — names only on the separate title page file.
  • Length: manuscript maximum 50 pages, double-spaced, 12-pt, 1" margins, inclusive of tables, figures, notes, and references; 8.5" x 11" paper.
  • Abstract: 100–120 words.
  • Style: manuscripts follow APA 7th edition; AERJ uses the SAGE Harvard reference style on its submission-guidelines page for the reference list (verify against the live guidelines).
  • ORCID: required for the corresponding author.
  • Fee: the SAGE guidelines state there is no fee to publish or submit; gold OA via SAGE Choice is available for a fee.
  • Decision timeline / acceptance rate / AERA-membership-to-submit: not stated in the pack source map — treat as 待核实/需复核 and confirm on the live SAGE author-instructions and AERA journal pages.

Preflight checklist

Fit & length
  • Dominant education-research lens named for integrated AERJ fit (one journal; do not pick a former section)
  • Manuscript within the 50-page maximum, including tables/figures/notes/references
  • Abstract 100–120 words, stating purpose + method + finding + significance
Masking (anonymous review)
  • No author names/affiliations/acknowledgments in the manuscript file
  • No identifying citations, references, or footnotes ("as we showed in…" neutralized)
  • Identifying file metadata stripped (document properties, comments)
  • Separate title page file with all author/affiliation/contact details
  • Anonymized preregistration / OSF link if referenced
Format & metadata
  • APA 7th edition formatting; reference list per the SAGE Harvard reference style on the guidelines page (verify live)
  • Double-spaced, 12-pt, 1" margins
  • Corresponding-author ORCID ready
  • Figures/tables self-contained, accessible, anonymized (see aerj-tables-figures)
Compliance & materials
  • IRB / human-subjects / consent compliance per AERA ethics
  • Reporting meets the AERA standard for the method (see aerj-transparency-and-data-policy)
  • Data/code availability or access plan documented

Anti-patterns

  • Leaving author identifiers in the text, acknowledgments, or file metadata (breaks masking)
  • Abstract outside 100–120 words; manuscript over the page limit
  • Letting the manuscript read as a specialty-journal paper with no field-wide AERJ fit
  • Mixing citation styles instead of clean APA 7th
  • Budgeting for a submission fee that is not charged (verify)
Show full SKILL.md (270 more words)Show less

Desk-reject triggers at upload (AERJ-specific)

ScholarOne screening and the editors catch avoidable failures before review. This table maps the most common pre-submission errors to their consequence so you can clear each one.

Failure at uploadWhat it breaksAvoidable fix
Author name in text/metadataMasked reviewStrip identifiers; move them to the title-page file
No clear AERJ fitEditor/reviewer matchName the dominant education lens and field-wide significance
Abstract over the limitFormat complianceTrim to the stated word range; verify the figure
Over-length manuscriptInclusive page countCut to the page limit counting tables/figures/refs
Mixed citation stylesAPA-7 complianceRun a single clean author-date pass

Worked preflight vignette (illustrative)

A team is uploading a mixed-methods evaluation of a community-schools initiative to AERJ. The preflight catches three things: an acknowledgments line thanking a named foundation (breaks masking), an abstract of 134 words (illustrative, over a 100–120 target), and a figure note citing "our prior district study" (a self-citation tell). Fixing all three before submission — moving funder thanks to the title page, trimming the abstract to 118 words, neutralizing the self-reference — converts a likely desk return into a clean send-out. Confirm the exact length and abstract limits against the journal's current submission guidelines.

Referee/editor pushback the preflight pre-empts

  • "This is not anonymized." → Strip text, self-citation, and file-metadata identifiers before upload.
  • "The paper reads too narrow for AERJ." → State the dominant education lens and field-wide stake in the cover letter.
  • "Reporting materials missing." → Have the AERA-standard reporting and data-availability plan ready at submission, not after acceptance.

Output format

【AERJ fit】dominant lens + field-wide stake stated? [Y/N]
【Masked】text + self-refs + file metadata clean + separate title page? [Y/N]
【Abstract】word count (100–120)
【Length】within limit incl. tables/figures/refs? [Y/N]
【APA 7th + ORCID】[Y/N]
【Reporting + data plan】ready? [Y/N]
【Next】await decision → aerj-rebuttal on R&R

Supplementary resources

© 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 American-Educational-Research-Journal-Skills/skills/aerj-submission of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Azure Deployment Preflightgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT
Implementation Final Reviewopenai/openai-agents-python30k—~2kAutomated safety check: PassMIT

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Questions about Aerj Submission

What does Aerj Submission do?

A skill your agent uses when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract…. Aerj Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract limits, APA 7th-edition formatting, ORCID, and a separate title page.

When should I use Aerj Submission?

Aerj Submission fits situations like: length and abstract limits; APA 7th-edition formatting; A separate title page.

How do I install Aerj Submission in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-submission -a claude-code`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-submission in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aerj-submission in your project. Claude Code loads it when a task matches its description.

How do I install Aerj Submission in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-submission -a codex`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-submission in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aerj-submission in your project. Codex loads it when a task matches its description.

Can I use Aerj Submission 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 aerj-submission -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aerj-submission, .gemini/skills/aerj-submission, .github/skills/aerj-submission and .opencode/skills/aerj-submission in your project.

What does Aerj Submission need to run?

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

Does Aerj Submission access the network?

SKILL.md names 1 domain. As links in the text: mc.manuscriptcentral.com. This is read from the text; nothing was executed.

Is Aerj Submission 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 Aerj Submission use?

Aerj Submission 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 Aerj Submission use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 Aerj Submission?

Skills that share tags, products or a category with Aerj Submission: Running CI Preflight (PostHog/posthog, 40k stars), Add Educational Comments (github/awesome-copilot, 40k stars), Finalize Agent Prompt (github/awesome-copilot, 40k stars) and Azure Deployment Preflight (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aerj Submission?

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.