A skill your agent uses when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow…

MITAuto-check passed

Install Jel Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jel-topic-selection -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jel-topic-selection --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/Journal-of-Economic-Literature-Skills/skills/jel-topic-selection .claude/skills/jel-topic-selection && 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
jel-topic-selection
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
580 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow…

  • Works in 4 steps: Maturity. There is a body of research —… → Importance. The questions matter to… → Need for synthesis. The literature is… → …
  • Judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature
  • SKILL.md covers When to trigger, The four JEL-fit tests, Decision table and Framing the animating question, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jel Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow review. Decides fit and frames the survey's animating question; it does not gather or synthesize the literature (that is jel-literature-synthesis).

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.

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

  • Judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature
  • Genuinely in need of synthesis — rather than a narrow review

Example prompts

  • “/jel-topic-selection”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Maturity. There is a body of research — multiple research lines, accumulated evidence, recognizable debates — not a handful of recent…
  2. Importance. The questions matter to economists broadly, not only to a dozen specialists. A JEL reader is a non-specialist economist who…
  3. Need for synthesis. The literature is scattered, contradictory, or hard to enter — a competent newcomer cannot currently get oriented…
  4. Tractable scope. One author/team can plausibly read and weigh the whole relevant literature in a single article. JEL surveys are long but…

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

Jel Topic Selection loads about 1.2k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 580 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 580 words, ~1,216 tokens.

Download SKILL.mdSave it as .claude/skills/jel-topic-selection/SKILL.md (or your agent's skills folder).
name
jel-topic-selection
description
Use when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow review. Decides fit and frames the survey's animating question; it does not gather or synthesize the literature (that is jel-literature-synthesis).

Topic Selection for a JEL Survey (jel-topic-selection)

When to trigger

  • You have a candidate field and need to know if it is "JEL-shaped"
  • A topic feels either too narrow (a single-question review) or too sprawling (a whole subfield)
  • You are deciding between JEL and a sibling outlet (JEP, Annual Review of Economics, a field journal's review section)
  • The literature is young/fast-moving and you suspect it is not yet mature enough to survey

The four JEL-fit tests

A literature belongs in JEL when it passes all four. If it fails one, route accordingly.

  1. Maturity. There is a body of research — multiple research lines, accumulated evidence, recognizable debates — not a handful of recent working papers. A field that is still being born produces a premature survey that will date in a year. (Fails → too young; wait, or pitch JEP instead.)
  2. Importance. The questions matter to economists broadly, not only to a dozen specialists. A JEL reader is a non-specialist economist who should finish the survey understanding why the field exists and what it has settled. (Fails → too niche; a field journal's review section fits better.)
  3. Need for synthesis. The literature is scattered, contradictory, or hard to enter — a competent newcomer cannot currently get oriented without a guide. The survey's value is the map, not the list. (Fails → already well-synthesized; nothing to add.)
  4. Tractable scope. One author/team can plausibly read and weigh the whole relevant literature in a single article. JEL surveys are long but not infinite. (Fails → carve a coherent sub-field, or split into two surveys.)

Decision table

SituationVerdictAction
Mature, important, scattered, tractableJEL-shaped→ jel-proposal-and-commissioning
Important but immatureNot yetrevisit in 2–3 years; consider JEP perspective
Mature but narrow / specialistWrong venuefield-journal review section
Mature, important, but enormousRescopepick a coherent axis; → jel-organizing-framework to test the cut
Non-technical, broad-audience, shortWrong venueJournal of Economic Perspectives (JEP)
Show full SKILL.md (266 more words)Show less

Framing the animating question

A JEL survey is organized by a question about the field, not by a topic label. Before proposing, write one sentence of each:

  • The state-of-knowledge question: "What do we now know about X, and how confident should we be?"
  • The why-now: what makes a synthesis valuable at this moment (a wave of new evidence, a methodological shift, a policy debate, convergence or fracture of findings).
  • The reader's payoff: what a non-specialist economist can do after reading (enter the field, teach it, locate the open questions).

Checklist

  • The field passes all four fit tests (maturity, importance, need, tractable scope)
  • The animating question about the field is written in one sentence
  • The "why now" is concrete (new evidence / method shift / policy salience), not "no one has surveyed this"
  • The intended reader is the non-specialist economist, and the payoff is stated
  • You can name the 3–6 research lines the survey must cover (a coverage skeleton)
  • Checked it is not a JEP piece (too short/non-technical) or a field-review piece (too narrow)
  • You are not the only contributor to this literature — the survey will not be a self-retrospective

Anti-patterns

  • "No one has written a survey of X" used as the sole justification — absence is not importance
  • Surveying your own research program under a neutral-sounding title (self-promotion; JEL referees punish this hard)
  • Picking a field so new that the survey freezes a moving target
  • A scope so broad the article becomes a list; a scope so narrow it is a field-journal review
  • Confusing "topic" (a label) with "animating question" (what the survey argues about the field)

Output format

【Field】<the literature>
【Four tests】maturity / importance / need-for-synthesis / tractable-scope — pass or fail each
【Animating question】"What do we know about ___, and how sure are we?"
【Why now】<new evidence / method shift / policy salience>
【Reader payoff】<what a non-specialist can do after reading>
【Coverage skeleton】<3–6 research lines the survey must cover>
【Verdict】JEL-shaped / rescope / wrong-venue (→ which venue)
【Next step】→ jel-proposal-and-commissioning (pitch the ~10-page sketch to the editor)

© 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-Literature-Skills/skills/jel-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jel Topic Selection

What does Jel Topic Selection do?

A skill your agent uses when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow…. Jel Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature, important, and genuinely in need of synthesis — rather than a narrow review.

When should I use Jel Topic Selection?

Jel Topic Selection fits situations like: judging whether a literature is a Journal of Economic Literature (JEL)-scale survey topic — mature; genuinely in need of synthesis — rather than a narrow review.

How do I install Jel Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jel-topic-selection -a claude-code`. Or copy the skill folder (Journal-of-Economic-Literature-Skills/skills/jel-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jel-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Jel Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jel-topic-selection -a codex`. Or copy the skill folder (Journal-of-Economic-Literature-Skills/skills/jel-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jel-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Jel Topic Selection 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 jel-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jel-topic-selection, .gemini/skills/jel-topic-selection, .github/skills/jel-topic-selection and .opencode/skills/jel-topic-selection in your project.

What does Jel Topic Selection need to run?

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

Does Jel Topic Selection 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 Jel Topic Selection 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 Jel Topic Selection use?

Jel Topic Selection 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 Jel Topic Selection use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Jel Topic Selection?

Skills that share tags, products or a category with Jel Topic Selection: Scientific Thinking Literature Review (affaan-m/ECC, 276k stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars), Literature Review (K-Dense-AI/scientific-agent-skills, 48k stars) and Literature Discovery Pipeline (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jel Topic Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.