A skill your agent uses when deciding which psychrev- sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a…

MITAuto-check passed

Install Psychrev Workflow

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-workflow --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-workflow .claude/skills/psychrev-workflow && 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-workflow
GitHub stars
1.2k
Token cost
~2.1k tokens
SKILL.md length
780 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which psychrev- sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a…

  • Works in 11 steps: psychrev-topic-selection — lock the… → psychrev-literature-positioning — name… → psychrev-theory-construction — build… → …
  • Deciding which psychrev- sub-skill to invoke next
  • SKILL.md covers Overview, When to trigger, Routing table and Default order, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psychrev Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which psychrev- sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission. Routes — does not replace — the specialized skills.

Its SKILL.md is about 2.1k 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

  • Deciding which psychrev- sub-skill to invoke next
  • Sequencing a theory
  • Formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission

Example prompts

  • “/psychrev-workflow”

Workflow steps

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

  1. psychrev-topic-selection — lock the theoretical problem and confirm it is not empirical
  2. psychrev-literature-positioning — name the theories you extend and the rivals you must beat
  3. psychrev-theory-construction — build assumptions, mechanisms, formal structure, derivations
  4. psychrev-argument-development — derive predictions; confront existing data and rival models
  5. psychrev-boundary-conditions — state scope, identifiability, and what the theory does NOT explain
  6. psychrev-conceptual-exhibits — model diagrams + simulation-of-model-behavior figures
  7. psychrev-contribution-framing — differentiate the advance over prior models
  8. psychrev-writing-style — APA house style; mechanism-first prose (polish)
  9. psychrev-submission — Editorial Manager preflight (incl. author's own model code if computational)
  10. psychrev-review-process — understand masked review and the decision types
  11. psychrev-rebuttal — after a revise-and-resubmit

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 Workflow loads about 2.1k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 780 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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). 780 words, ~2,081 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-workflow/SKILL.md (or your agent's skills folder).
name
psychrev-workflow
description
Use when deciding which psychrev-* sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission. Routes — does not replace — the specialized skills.

Psychological Review Theory Workflow (psychrev-workflow)

Overview

This is the router. It does not replace any specialized skill — it tells you which psychrev- skill to use at the current stage* of a Psychological Review manuscript.

Default assumption: unless the user says otherwise, treat the target as Psychological Review — the American Psychological Association's flagship for theoretical contributions in scientific psychology. Per its scope it "publishes articles that make important theoretical contributions to any area of scientific psychology, including systematic evaluation of alternative theories"; papers "mainly focused on surveys of the literature, problems of method and design, or reports of empirical findings are not appropriate" (apa.org/pubs/journals/rev, 检索于 2026-06;以官网为准). The deliverable is a new theory or formal/computational model, or a major theoretical synthesis — built with explicit assumptions, derived predictions, and stated scope. There is no primary empirical report: data appear only to motivate or constrain the theory, never as the contribution. If the empirical work is the point, route to a JEP-family journal, Psychological Science, or a specialty venue — not Psychological Review.

Two register choices run through every stage. First, this is theory, so logical and formal soundness plays the role statistics play at empirical journals. Second, this is APA, so the prose is plain, precise, and mechanism-first; the vocabulary is model, assumption, prediction, parameter, scope — not "study," "we found," "p < .05."

When to trigger

  • The user asks "what should I do next?" on a theory or modeling paper
  • A draft arrives and you must locate its bottleneck (problem? model? derivations?)
  • Work is thrashing between modeling, figure-building, and writing
  • A Psychological Review decision letter has arrived and the work shifts to revision

Routing table

Current symptomNext skill
Idea is vague; unsure there is a real theoretical problem (or it is empirical)psychrev-topic-selection
Have a problem but the model's assumptions/mechanisms are not builtpsychrev-theory-construction
Unsure which theories you extend or which rivals you must beatpsychrev-literature-positioning
Model exists but predictions are not derived or confronted with datapsychrev-argument-development
Theory over-claims; scope, identifiability, and limits are unstatedpsychrev-boundary-conditions
Model diagram or simulation-of-behavior figure is missing/unreadablepsychrev-conceptual-exhibits
Cannot articulate the advance over the prior modelpsychrev-contribution-framing
Prose reads like a literature review, not a theoretical argumentpsychrev-writing-style
Ready to submit; need the Editorial Manager preflightpsychrev-submission
Want to understand masked review and Theoretical Notespsychrev-review-process
Received a revise decision; need the response documentpsychrev-rebuttal

Default order

  1. psychrev-topic-selection — lock the theoretical problem and confirm it is not empirical
  2. psychrev-literature-positioning — name the theories you extend and the rivals you must beat
  3. psychrev-theory-construction — build assumptions, mechanisms, formal structure, derivations
  4. psychrev-argument-development — derive predictions; confront existing data and rival models
  5. psychrev-boundary-conditions — state scope, identifiability, and what the theory does NOT explain
  6. psychrev-conceptual-exhibits — model diagrams + simulation-of-model-behavior figures
  7. psychrev-contribution-framing — differentiate the advance over prior models
  8. psychrev-writing-style — APA house style; mechanism-first prose (polish)
  9. psychrev-submission — Editorial Manager preflight (incl. author's own model code if computational)
  10. psychrev-review-process — understand masked review and the decision types
  11. psychrev-rebuttal — after a revise-and-resubmit

psychrev-writing-style is a late-stage polish. Do not polish prose before the derivations stand up (psychrev-argument-development) and the contribution is differentiated (psychrev-contribution-framing).

Show full SKILL.md (266 more words)Show less

Stage-gate audit sheet

Re-run this audit at the start of each work session. Route to the first open gate; never check a later gate while an earlier one is open.

text
PSYCHOLOGICAL REVIEW — THEORY MANUSCRIPT GATE SHEET
Manuscript: ____________________   Session date: __________

[ ] G1  Theoretical problem stated; confirmed non-empirical ......... psychrev-topic-selection
[ ] G2  Theories extended + rival models to beat are named .......... psychrev-literature-positioning
[ ] G3  Assumptions, mechanisms, formal structure built ............. psychrev-theory-construction
[ ] G4  Predictions derived; confronted with data and rivals ........ psychrev-argument-development
[ ] G5  Scope, identifiability, and non-explananda stated ........... psychrev-boundary-conditions
[ ] G6  Model diagram + simulated-behavior figures render ........... psychrev-conceptual-exhibits
[ ] G7  Advance over the prior model articulated .................... psychrev-contribution-framing
[ ] G8  Prose is mechanism-first APA, not a review essay ............ psychrev-writing-style
[ ] G9  Editorial Manager preflight passed (model code attached) .... psychrev-submission
[ ] G10 Masked-review + Theoretical Notes expectations understood ... psychrev-review-process
[ ] G11 Response document tracks the revised THEORY, not letters .... psychrev-rebuttal

Hard rule: G6–G8 are polish gates — they stay closed until G4 holds.

Decision shortcuts

  • "I have a striking phenomenon but no model" → psychrev-topic-selection
  • "I don't know which existing model I'm beating" → psychrev-literature-positioning
  • "My model has assumptions but no derived predictions" → psychrev-argument-development
  • "A reviewer will ask whether the model is identifiable" → psychrev-boundary-conditions
  • "Reviewers will ask 'how is this better than [prior model]?'" → psychrev-contribution-framing
  • "My figures are boxes, no simulated behavior" → psychrev-conceptual-exhibits
  • "It reads like a review essay" → psychrev-writing-style
  • "I'm about to hit submit" → psychrev-submission
  • "I got a major revision" → psychrev-review-process then psychrev-rebuttal

Differences vs. sibling journals

  • Psychological Bulletin: integrative reviews and meta-analyses — synthesizes evidence; does not advance a new formal theory. If your contribution is "the field, summarized," it is Bulletin, not Review.
  • Behavioral and Brain Sciences (BBS): a target article + open peer commentary format for cross-disciplinary debate; not the APA single-author/team theory paper.
  • Trends in Cognitive Sciences: short, invited opinion/review pieces; not original formal theory.
  • JEP family / Psychological Science: empirical reports — where data is the contribution.

Anti-patterns

  • Do not skip psychrev-literature-positioning — reviewers first ask which model you beat.
  • Do not let psychrev-conceptual-exhibits render a model before its behavior is derived.
  • Do not let psychrev-rebuttal draft a response before the theory itself was revised.
  • Do not treat Psychological Review as a venue for empirical reports; route data papers elsewhere.

Volatile specifics (editor, exact length/abstract limits, portal URL, fees, APA edition, acceptance rate) change or could not be machine-verified — see resources/official-source-map.md and confirm on the official APA Psychological Review page.

© 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-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev Workflow 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.

Psychrev Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Psychrev Workflow this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~2.1kAutomated safety check: PassMIT
Sub SkillMoonshotAI/kimi-code7.8k—~281Automated safety check: PassMIT
Sub Agentsparcadei/Continuous-Claude-v33.9k1 repos~929Automated safety check: NotesMIT
Offensive Lorawan Sub GhzSnailSploit/Claude-Red7.4k—~1.7kAutomated safety check: PassMIT
Create Invoke TaskDataDog/datadog-agent3.8k—~606Automated safety check: NotesApache-2.0
Sub-Agent DelegationTokenRhythm/opensquilla7.1k—~3kAutomated safety check: PassApache-2.0

Similar skills

  • Sub Skill

    MoonshotAI/kimi-code

    Discover and reorganize the skill inventory into hierarchical sub-skill bundles.

    7.8k GitHub stars~281 tokensUpdated today
    DevelopmentAuto-check passed
  • Sub Agents

    parcadei/Continuous-Claude-v3

    Create and configure Claude Code sub-agents with custom prompts, tools, and models

    3.9k GitHub starsUsed in 1 repo~929 tokens
    Agent WorkflowsAuto-check: notes
  • Offensive Lorawan Sub Ghz

    SnailSploit/Claude-Red

    LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz…

    7.4k GitHub stars~1.7k tokensUpdated 20 days ago
    DevOps & CloudAuto-check passed
  • Create Invoke Task

    DataDog/datadog-agent

    Official

    Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.

    3.8k GitHub stars~606 tokensUpdated today
    Auto-check: notes
  • Sub-Agent Delegation

    TokenRhythm/opensquilla

    Hands a self-contained coding task to Codex, Claude Code, OpenCode or Pi as a non-interactive background process, using OpenSquilla's exec_command and process tools.

    7.1k GitHub stars~3k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Launch Sub Agent

    NeoLabHQ/context-engineering-kit

    Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

    1.8k GitHub stars~3k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    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…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Literature Positioning

    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…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Rebuttal

    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…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Research Design

    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…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Review Process

    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…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Submission

    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…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Questions about Psychrev Workflow

What does Psychrev Workflow do?

A skill your agent uses when deciding which psychrev- sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a…. Psychrev Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which psychrev- sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission.

When should I use Psychrev Workflow?

Psychrev Workflow fits situations like: deciding which psychrev- sub-skill to invoke next; sequencing a theory; formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission.

How do I install Psychrev Workflow in Claude Code?

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

How do I install Psychrev Workflow in Codex?

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

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

What does Psychrev Workflow need to run?

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

Does Psychrev Workflow 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 Workflow 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 Workflow use?

Psychrev Workflow 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 Workflow use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Workflow?

Skills that share tags, products or a category with Psychrev Workflow: Sub Skill (MoonshotAI/kimi-code, 7.8k stars), Sub Agents (parcadei/Continuous-Claude-v3, 3.9k stars), Offensive Lorawan Sub Ghz (SnailSploit/Claude-Red, 7.4k stars) and Create Invoke Task (DataDog/datadog-agent, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Psychrev Workflow?

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.