Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and…
Install Jeg Review Process
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-process --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Economic-Growth-Skills/skills/jeg-review-process .claude/skills/jeg-review-process && rm -rf skills-srcUse ~/.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/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .claude/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-processType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-process --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-review-process .agents/skills/jeg-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .agents/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-process --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-review-process .cursor/skills/jeg-review-process && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .cursor/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Economic-Growth-Skills/skills/jeg-review-process--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-process --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-review-process .gemini/skills/jeg-review-process && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .gemini/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-processInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-review-process .github/skills/jeg-review-process && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .github/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-review-process --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-review-process .opencode/skills/jeg-review-process && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jeg-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-review-process into .opencode/skills/jeg-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-review-process", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jeg-review-process- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 562 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and…
- Navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path
- SKILL.md covers When to trigger, Reviewer lens, Known process facts and Pre-review risk table, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Editor screening for growth-and-development fit
What it does
Jeg Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and empirics referee expectations, desk-reject patterns, and decision-stage planning across review rounds.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. 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
- Navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path
- Editor screening for growth-and-development fit
- Theory and empirics referee expectations
- Desk-reject patterns
Example prompts
- “/jeg-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
Jeg Review Process loads about 1.2k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 562 words of instructions outside code blocks.
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). 562 words, ~1,167 tokens.
Download SKILL.mdSave it as
.claude/skills/jeg-review-process/SKILL.md (or your agent's skills folder).- name
- jeg-review-process
- description
- Use when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and empirics referee expectations, desk-reject patterns, and decision-stage planning across review rounds.
Review Process (jeg-review-process)
When to trigger
- You want to know how JEG will read a manuscript before submission
- A submitted paper is in review and you need to interpret likely concerns
- You need to prepare for a revision after a decision letter
Reviewer lens
JEG is a specialist outlet for economic growth and dynamic macroeconomics. The review question is not "is this economics?" but "does this materially advance how we understand long-run growth, development, and dynamics?"
Reviewers typically evaluate:
- Fit with growth and dynamic macroeconomics
- Theory originality, assumptions, and model tractability
- Empirical identification and data credibility where relevant
- Calibration discipline and sensitivity where relevant
- Connection to core growth mechanisms and prior literature
- Springer submission completeness and declarations
Known process facts
- Submission runs through the Springer Nature manuscript portal.
- Editor-in-Chief listed in the source map: Oded Galor.
- Peer-review model was not confirmed as single- or double-blind; do not assume.
- No submission/handling fee; optional OA APC applies only if chosen.
Pre-review risk table
Before submission, write one row for each likely objection:
Risk | Why a growth referee may raise it | Evidence in manuscript | Repair before submissionCommon high-cost risks are: the mechanism is not about long-run growth, the model is too reduced-form to explain dynamics, the calibration is not tied to moments, the empirics show correlation without a growth interpretation, or the paper ignores canonical growth/development literature. If the repair requires new analysis, do it before upload; JEG's specialist audience is unlikely to treat a vague promise as enough.
Desk-screen failure patterns
The fastest rejections at this journal are fit failures visible from the abstract alone:
- A program evaluation with a growth word in the title but a short-run, partial-equilibrium estimand.
- A persistence regression presented as the whole paper — no mechanism, no model, no interpretation of the magnitude.
- A cross-country growth regression with a long control list and no identification stance.
- A theory paper whose dynamics are incidental — a static result relabeled as growth.
- A single-country case study lacking any comparative-development framing or external benchmark.
- A growth-accounting decomposition with no question behind it — at this venue, accounting arithmetic motivates a paper but cannot be one.
If the introduction cannot name which divergence, convergence, or transition question it moves, expect a desk decision rather than referee reports.
Show full SKILL.md (202 more words)Show less
Worked vignette — anticipating the referee split
Illustrative case: a unified-growth-theory paper pairing a calibration with a historical validation panel will often draw one theory referee and one empirical referee. Plan for both scripts:
- The theory referee reproduces the balanced-growth-path algebra, asks which assumption delivers the take-off timing, and tests whether the comparative statics survive relaxing it.
- The empirical referee audits the validation panel: the vintage of each historical series, spatial or temporal correlation in the standard errors, and whether the targeted moments mechanically guarantee the "validation."
- Pre-empt the split with a one-page table mapping assumptions to data moments — it answers both camps at once. Papers serving only one camp tend to draw a split verdict and a heavy revision.
Process expectations (hedged)
- A quarterly Springer journal with a specialist single-field referee pool: reports tend to be deep rather than fast, so budget several months per round before any status query.
- Decisions follow the standard reject / major revision / minor revision / accept ladder; the exact peer-review model and current timings should be confirmed against the journal's live author guidelines.
- Major revisions here are evidence-heavy: they typically demand new spatial-inference diagnostics, mechanism exhibits, or untargeted-moment checks — reserve analysis capacity before the letter arrives.
Output format
[Stage] pre-submit / under review / revision
[Main risk] fit / theory / empirics / calibration / exposition
[Action] ...
[Next step] jeg-submission or jeg-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-Economic-Growth-Skills/skills/jeg-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jeg Review Process 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jeg Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
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GitHub Deep Research
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Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
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Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
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Research what people actually say about any topic in the last 30 days.
Peer Review
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Structured manuscript/grant review with checklist-based evaluation.
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Categories
Questions about Jeg Review Process
What does Jeg Review Process do?
A skill your agent uses when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and…. Jeg Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path, editor screening for growth-and-development fit, theory and empirics referee expectations, desk-reject patterns, and decision-stage planning across review rounds.
When should I use Jeg Review Process?
Jeg Review Process fits situations like: navigating the Journal of Economic Growth (JEG) editorial process — the Springer Nature submission path; editor screening for growth-and-development fit; theory and empirics referee expectations; desk-reject patterns.
How do I install Jeg Review Process in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a claude-code`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jeg-review-process in your project. Claude Code loads it when a task matches its description.
How do I install Jeg Review Process in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-review-process -a codex`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jeg-review-process in your project. Codex loads it when a task matches its description.
Can I use Jeg 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 jeg-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/jeg-review-process, .gemini/skills/jeg-review-process, .github/skills/jeg-review-process and .opencode/skills/jeg-review-process in your project.
What does Jeg Review Process need to run?
SKILL.md names no scripts, command-line tools or credentials: Jeg Review Process is instructions for the agent only.
Does Jeg 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 Jeg 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 Jeg Review Process use?
Jeg 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 Jeg Review Process use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Jeg Review Process?
Skills that share tags, products or a category with Jeg Review Process: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jeg 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.