A skill your agent uses when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics)…

MITAuto-check passedResearch & Science

Install Red Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .claude/skills/red-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
red-topic-selection
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
572 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics)…

  • Quantitative economics) rather than subfield
  • SKILL.md covers When to trigger, What RED actually wants, Quick fit test and Wrong-venue redirects, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Hypothesis generation

What it does

Red Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics) rather than subfield. Helps decide if the paper studies a genuinely dynamic mechanism through a dynamic model, and whether it belongs at RED versus a generalist or a specialist outlet.

Its SKILL.md is about 1.3k 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, covering Hypothesis generation. 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

  • Quantitative economics) rather than subfield
  • Tasks that involve Hypothesis generation

Example prompts

  • “/red-topic-selection”

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

Red Topic Selection loads about 1.3k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 572 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
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). 572 words, ~1,298 tokens.

Download SKILL.mdSave it as .claude/skills/red-topic-selection/SKILL.md (or your agent's skills folder).
name
red-topic-selection
description
Use when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics) rather than subfield. Helps decide if the paper studies a genuinely dynamic mechanism through a dynamic model, and whether it belongs at RED versus a generalist or a specialist outlet.

Topic Selection for RED (red-topic-selection)

When to trigger

  • Deciding whether a paper is "a RED paper" before investing in it
  • A dynamic-macro idea that could also go to a general-interest or a field journal
  • Worried the question is too static, too purely empirical, or too applied-micro for RED's lens

What RED actually wants

RED publishes meritorious original contributions to dynamic economics, and its scope is set by method/lens, not subfield. In-scope work studies a mechanism through a dynamic model — and that model may be theoretical, computational, or empirical:

  • Dynamic general-equilibrium (DSGE) and heterogeneous-agent models
  • Growth, business cycles, and economic fluctuations
  • Labor dynamics, search/matching, human capital over the life cycle
  • Monetary and fiscal policy in dynamic environments
  • International macro and open-economy dynamics
  • Any area of economics where the dynamics are the point and a dynamic model carries the argument

Crucially, heavily computational quantitative work is squarely in scope — RED is one of the natural homes for simulation-intensive macro. The SED community (the people behind the SED Annual Meetings) is the readership; pitch to them.

Quick fit test

  • Is the dynamic mechanism the core contribution (not incidental)?
  • Does a dynamic model carry the argument (theory, computation, or empirical dynamics)?
  • Would the SED audience see this as advancing dynamic economics?
  • Is the contribution quantitative/structural rather than a one-off reduced-form correlation?

If the dynamics are cosmetic, or the paper is a static cross-section, RED is likely the wrong lens — reframe around the dynamic mechanism or choose another venue.

Wrong-venue redirects

  • Mostly reduced-form policy estimate with no dynamic model -> field journal or applied-economics outlet.
  • Pure econometric method with no dynamic-economics object -> methods/econometrics outlet.
  • Broad macro paper whose contribution is policy relevance rather than dynamic mechanism -> generalist macro or policy journal.
  • Calibration exercise with no new mechanism, method, or disciplined moment -> revise before targeting RED.

Dynamic-mechanism test

Write the candidate contribution in this form:

text
Because [state variable] evolves through [law of motion/friction], [shock/policy/choice] changes
[future object], generating [quantitative/theoretical implication].

If the sentence still works after deleting the law of motion, the paper may not be a RED paper. If the result depends on dynamics but the model is not disciplined by moments, proofs, or computation, route to red-data-analysis before drafting.

Show full SKILL.md (223 more words)Show less

Fit-scoring pass

Score each dimension 0–2 before committing the project to RED:

Dimension012
Dynamicsstatic comparisondynamics present but incidentaltransition/fluctuation is the object
Modelnone or a sketchcalibrated model supports a side resultdynamic model carries the headline claim
Disciplineparameters chosen freelypartial targetsexplicit calibration/estimation against moments
Audiencegeneralist or policyfield-adjacentSED community would discuss it at the Annual Meeting

Illustrative read: 7–8 → proceed; 5–6 → strengthen the weak dimension first (usually Discipline); ≤4 → re-scope or pick another venue. The thresholds are working heuristics, not journal policy.

Scoring vignette: a household-finance idea

"Mortgage refinancing frictions and consumption." Version A regresses spending on rate gaps: Dynamics 1, Model 0, Discipline 0, Audience 1 → not a RED paper. Version B builds a life-cycle model with a fixed refinancing cost, calibrates that cost to observed refinancing hazards, and quantifies the mortgage channel of monetary transmission: Dynamics 2, Model 2, Discipline 2, Audience 2 → squarely in scope. Same topic, different lens — the venue decision turns on version B's dynamic model, not on the subject matter.

Anti-patterns

  • Bolting a token dynamic equation onto an essentially static result
  • Assuming RED only takes theory, or only takes empirics (it takes both, through a dynamic lens)
  • Pitching to a generalist audience instead of the SED community

Output format

text
[RED fit] strong / possible / weak
[Dynamic mechanism] <state variable, law of motion, or equilibrium force>
[Model discipline] theory / computation / calibration / estimation / missing
[Best route] RED / generalist macro / field journal / methods outlet
[Next step] red-contribution-framing or red-data-analysis

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 Review-of-Economic-Dynamics-Skills/skills/red-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Red Topic Selection 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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Hypothesis GenerationK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: PassMIT
Good QuestionRimagination/good-question3051 repos~4.3kAutomated safety check: PassMIT
Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine1287 repos~2.3kAutomated safety check: NotesNone

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Questions about Red Topic Selection

What does Red Topic Selection do?

A skill your agent uses when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics)…. Red Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when testing whether a research question fits the Review of Economic Dynamics (RED) — a journal whose scope is defined by method and lens (dynamic, quantitative economics) rather than subfield.

When should I use Red Topic Selection?

Red Topic Selection fits situations like: quantitative economics) rather than subfield; tasks that involve Hypothesis generation.

How do I install Red Topic Selection in Claude Code?

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

How do I install Red Topic Selection in Codex?

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

Can I use Red 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 red-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/red-topic-selection, .gemini/skills/red-topic-selection, .github/skills/red-topic-selection and .opencode/skills/red-topic-selection in your project.

What does Red Topic Selection need to run?

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

Does Red 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 Red 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 Red Topic Selection use?

Red 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 Red Topic Selection use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Red Topic Selection?

Skills that share tags, products or a category with Red Topic Selection: Hypothesis Generation (spacering-net/codeg, 3.8k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Red Topic Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.