Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
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)…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-topic-selection --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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .claude/skills/red-topic-selection && 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 "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .claude/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selectionType 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 red-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-topic-selection --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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .agents/skills/red-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .agents/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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 red-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-topic-selection --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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .cursor/skills/red-topic-selection && 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 "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .cursor/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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 Review-of-Economic-Dynamics-Skills/skills/red-topic-selection--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 red-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-topic-selection --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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .gemini/skills/red-topic-selection && 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 "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .gemini/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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 red-topic-selectionInstalls 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 red-topic-selection -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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .github/skills/red-topic-selection && 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 "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .github/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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 red-topic-selection -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 red-topic-selection --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/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection .opencode/skills/red-topic-selection && 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 "red-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-topic-selection into .opencode/skills/red-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-topic-selection", 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.
red-topic-selectionA 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. 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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 572 words, ~1,298 tokens.
.claude/skills/red-topic-selection/SKILL.md (or your agent's skills folder).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:
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.
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.
Write the candidate contribution in this form:
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.
Score each dimension 0–2 before committing the project to RED:
| Dimension | 0 | 1 | 2 |
|---|---|---|---|
| Dynamics | static comparison | dynamics present but incidental | transition/fluctuation is the object |
| Model | none or a sketch | calibrated model supports a side result | dynamic model carries the headline claim |
| Discipline | parameters chosen freely | partial targets | explicit calibration/estimation against moments |
| Audience | generalist or policy | field-adjacent | SED 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.
"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.
[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../../resources/official-source-map.md — RED scope sources© 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
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
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Red Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 7 repos | ~2.3k | Automated safety check: Notes | None |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Yuan1z0825/nature-skills
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.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
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.
Red Topic Selection fits situations like: quantitative economics) rather than subfield; tasks that involve Hypothesis generation.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Red Topic Selection is instructions for the agent only.
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.
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.
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.
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.
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.
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.