A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements…

MITAuto-check passedResearch & Science

Install Arecon Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arecon-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/Annual-Review-of-Economics-Skills/skills/arecon-submission .claude/skills/arecon-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
arecon-submission
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
516 words
Files
3
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements…

  • Reference/format compliance
  • SKILL.md covers When to trigger, Process facts (检索于…, Preflight checklist and Anti-patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Figure permissions

What it does

Arecon Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency/reproducibility of any meta-analysis the review itself contains. Final checks; it does not draft content.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `templates/checklist.md` and `templates/manuscript_template.md`).

It sits in Research & Science, covering Reproducible research. 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

  • Reference/format compliance
  • Figure permissions
  • The transparency/reproducibility of any meta-analysis the review itself contains

Example prompts

  • “/arecon-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

    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

Arecon Submission loads about 1.3k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 516 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 516 words, ~1,334 tokens.

Download SKILL.mdSave it as .claude/skills/arecon-submission/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
arecon-submission
description
Use when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency/reproducibility of any meta-analysis the review itself contains. Final checks; it does not draft content.

Delivery Preflight (arecon-submission)

When to trigger

  • "Delivering soon" — last check before handing the commissioned review to Annual Reviews
  • Unsure which files, declarations, and permissions the production system expects
  • Confirming reference style, format, and figure specs are Annual Reviews-compliant
  • Verifying transparency obligations for any quantitative synthesis (meta-analysis) the review itself reports

Process facts (检索于 2026-06;以官网为准 — re-confirm on the Annual Reviews author pages)

  • Publisher / venue. ARE is published by Annual Reviews (nonprofit), founded 2009, as an annual volume; it is a review series, distinct from JEL (AEA survey of record), JEP (non-technical), and Handbook chapters. Articles are commissioned by the Editorial Committee; there is no cold-submission portal for unsolicited manuscripts — delivery happens within the invited-article workflow (检索于 2026-06;以官网为准).
  • Open access. Volumes are published open access under the Subscribe-to-Open (S2O) model (2023–2025 converted; 2026 in production), under a Creative Commons license — there is no author-facing APC under S2O (检索于 2026-06;以官网为准). Do not treat S2O as a pay-to-publish APC.
  • Disclosure (required). Annual Reviews requires authors to disclose potential sources of bias / conflicts of interest; funding sources are stated. Prepare the disclosure as the author pages specify (检索于 2026-06;以官网为准).
  • Reproducibility of the review itself. A pure review reports no new data. The transparency obligation bites on your systematic coverage (a documented, near-PRISMA-style account of how the literature was searched and selected, from arecon-literature-synthesis) and on any meta-analysis you contribute — its data and code should be reproducible and depositable (检索于 2026-06;以官网为准).
  • Reference & format style. Annual Reviews applies its own house format and reference style (numbered/name style distinct from AEA author-year) at production; the production editor copyedits to house style, so the delivered draft need not pre-conform, but reference data must be complete and accurate (检索于 2026-06;以官网为准).
  • Figures / permissions. Confirm figure specs and secure permission for any reproduced exhibit (检索于 2026-06;以官网为准).
  • Length / abstract limits. Exact word/abstract limits are 待核实 — confirm on the author pages; typical published reviews run ~25–40 pages (检索于 2026-06;以官网为准).
Show full SKILL.md (201 more words)Show less

Preflight checklist

Article & files
  • This is a commissioned/invited article delivered in the invited-article workflow (not a cold submission)
  • Manuscript complete; references complete and accurate (house style applied at production)
  • Title page: title, complete author affiliations, keywords; abstract in review style
  • Figures meet current specs; reproduced exhibits have permission and attribution
Transparency
  • Systematic-coverage account documented (search strategy, inclusion/exclusion) — near-PRISMA where applicable
  • Any meta-analysis the review reports: data + code reproducible and depositable
Declarations
  • Conflict-of-interest / potential-bias disclosure prepared per Annual Reviews policy
  • Funding sources stated
  • AI not listed as an author
Volatile re-confirms
  • Exact length/abstract limits, current reference style, figure specs, disclosure format, S2O/OA status — re-checked on the Annual Reviews author pages (检索于 2026-06)

Anti-patterns

  • Treating ARE like a journal with a cold-submission portal — it is invited; deliver through the commissioned workflow
  • Treating S2O open access as a pay-to-publish APC (it is not author-funded under S2O)
  • Omitting the conflict-of-interest / bias disclosure Annual Reviews requires
  • Asserting a length limit, fee, or editor name from memory rather than the live author pages
  • Delivering a meta-analysis with no reproducible data/code, or a systematic review with no documented search

Output format

text
【Article type】commissioned/invited review (not cold submission)? Y/N
【References】complete + accurate (house style at production)? Y/N
【Abstract + front matter】review-style abstract, keywords, affiliations? Y/N
【Transparency】coverage account documented; meta-analysis (if any) reproducible? Y/N
【Disclosure】COI / bias disclosure + funding prepared? Y/N
【Figures】specs met; permissions secured? Y/N
【Volatile re-confirms】length / style / OA / disclosure checked on Annual Reviews pages? Y/N
【Next step】deliver to Annual Reviews → arecon-review-process for what to expect

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

SKILL.md and 2 other files in Annual-Review-of-Economics-Skills/skills/arecon-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md
  • templates/manuscript_template.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Arecon Submission next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Arecon Submission

What does Arecon Submission do?

A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements…. Arecon Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final delivery preflight for a commissioned Annual Review of Economics (ARE) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency/reproducibility of any meta-analysis the review itself contains.

When should I use Arecon Submission?

Arecon Submission fits situations like: reference/format compliance; figure permissions; the transparency/reproducibility of any meta-analysis the review itself contains.

How do I install Arecon Submission in Claude Code?

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

How do I install Arecon Submission in Codex?

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

Can I use Arecon 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 arecon-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/arecon-submission, .gemini/skills/arecon-submission, .github/skills/arecon-submission and .opencode/skills/arecon-submission in your project.

What does Arecon Submission need to run?

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

Does Arecon Submission 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 Arecon 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 Arecon Submission use?

Arecon 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 Arecon Submission use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Arecon Submission?

Skills that share tags, products or a category with Arecon Submission: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arecon 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.