Agent skill

Psychrev Topic Selection

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than…

MITAuto-check passedMarketing & SEO

Install Psychrev Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-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/Psychological-Review-Skills/skills/psychrev-topic-selection .claude/skills/psychrev-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
psychrev-topic-selection
GitHub stars
1.2k
Token cost
~1.3k 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 deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than…

  • Works in 4 steps: New formal/computational model of a… → New theoretical framework (conceptual… → Adjudication between two or more… → …
  • Deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and
  • SKILL.md covers When to trigger, The first gate: is this theory…, The second gate: is the… and Four routes onto the journal…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psychrev Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than an empirical report. Screens fit and frames the problem; it does NOT build the model (that is psychrev-theory-construction) or position it against rivals (psychrev-literature-positioning).

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 Marketing & SEO. 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

  • Deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and
  • Whether it is theory rather than an empirical report

Example prompts

  • “/psychrev-topic-selection”

Workflow steps

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

  1. New formal/computational model of a phenomenon currently explained only verbally.
  2. New theoretical framework (conceptual mechanism) that reorganizes a literature.
  3. Adjudication between two or more standing theories using existing evidence and/or a
  4. Major synthesis that yields new theory (not a survey) — note this is the boundary

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

Psychrev Topic Selection loads about 1.3k tokens when it runs. Until then it costs about 98 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
~98
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). 580 words, ~1,291 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-topic-selection/SKILL.md (or your agent's skills folder).
name
psychrev-topic-selection
description
Use when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than an empirical report. Screens fit and frames the problem; it does NOT build the model (that is psychrev-theory-construction) or position it against rivals (psychrev-literature-positioning).

Topic Selection & Theory-Fit Screening (psychrev-topic-selection)

When to trigger

  • You have an idea but are unsure it rises to a Psychological Review problem
  • You have a rich empirical finding and are tempted to send it here
  • You cannot say what existing theory fails to explain
  • A collaborator asks "is this a Review paper or a JEP paper?"

The first gate: is this theory at all?

Psychological Review is theory-only. Before anything else, run the empirical-contribution test: if the manuscript's contribution is the data — a new effect, a better method, a clean experiment — it is desk-rejected and redirected (to the JEP family, Psychological Science, or a specialty venue). Data belong here only to motivate the problem or constrain the theory. Ask:

  • Could the paper survive if its data were replaced by someone else's already-published data? If yes, the contribution is the theory — good. If the paper collapses without your new experiment, it is empirical — wrong venue.
  • Is the novelty a phenomenon or a mechanism? Review wants the mechanism.

The second gate: is the problem big enough?

Review papers earn their length by generality. A theory that explains one paradigm in one subfield rarely clears the bar; the journal prizes accounts that unify phenomena, adjudicate between standing theories, or formalize something previously verbal. Screen on:

DimensionStrong Review problemWeak / wrong-venue
GeneralitySpans paradigms, tasks, or subfieldsOne effect in one paradigm
Theoretical tensionStanding theories make conflicting predictionsA gap that is merely unstudied
Form of advanceNew mechanism / formal model / synthesisA new measure or a methodological fix
What it replacesNames a prior account it improves on"No one has modeled this yet"
FalsifiabilityYields predictions that could be wrongRestates a phenomenon in new words

Four routes onto the journal (pick one, name it early)

  1. New formal/computational model of a phenomenon currently explained only verbally.
  2. New theoretical framework (conceptual mechanism) that reorganizes a literature.
  3. Adjudication between two or more standing theories using existing evidence and/or a formal contrast — a "systematic evaluation of alternative theories" (the journal's own phrasing).
  4. Major synthesis that yields new theory (not a survey) — note this is the boundary with Psychological Bulletin; if you only summarize, it is Bulletin.
Show full SKILL.md (213 more words)Show less

Scoping questions to answer before building

  • What is the explanandum — the precise set of phenomena the theory must account for?
  • Which of those phenomena are diagnostic (rival theories disagree on them)?
  • What existing data already exist to constrain the theory (so you need no new experiment)?
  • Is the target a process (how) or only a pattern (what)? Review wants the how.

Checklist

  • The contribution is a theory/model, not a dataset (empirical-contribution test passed)
  • The problem spans more than one paradigm or adjudicates standing theories
  • A specific prior account the paper improves on is named
  • The explanandum is stated as a concrete list of phenomena
  • Existing (published) data suffice to motivate and constrain — no new experiment is the contribution
  • The advance is a mechanism/formalism, not a measure or method
  • The route onto the journal (model / framework / adjudication / synthesis) is explicit

Anti-patterns

  • Sending an empirical paper with a "theory" section bolted on — the defining desk-reject
  • A "model" that is a redescription of the data with free parameters and no commitments
  • A synthesis that only summarizes (that is Psychological Bulletin's lane)
  • A problem so narrow it explains one effect in one task
  • "No one has modeled X" offered as the contribution, with no phenomenon that demands a model
  • Claiming generality the theory cannot deliver

Output format

【Fit】theory not empirical (passed empirical-contribution test): yes / fix
【Route】new model | new framework | adjudication | synthesis
【Explanandum】[concrete list of phenomena the theory must explain]
【Prior account improved on】[named]
【Constraining data】[existing published data; no new experiment is the contribution]
【Next step】psychrev-literature-positioning (name rivals) → psychrev-theory-construction

© 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 Psychological-Review-Skills/skills/psychrev-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev 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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Categories

Questions about Psychrev Topic Selection

What does Psychrev Topic Selection do?

A skill your agent uses when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than…. Psychrev Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than an empirical report.

When should I use Psychrev Topic Selection?

Psychrev Topic Selection fits situations like: deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and; whether it is theory rather than an empirical report.

How do I install Psychrev Topic Selection in Claude Code?

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

How do I install Psychrev Topic Selection in Codex?

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

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

What does Psychrev Topic Selection need to run?

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

Does Psychrev 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 Psychrev 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 Psychrev Topic Selection use?

Psychrev 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 Psychrev 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 Psychrev Topic Selection?

Skills that share tags, products or a category with Psychrev Topic Selection: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Psychrev 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.