A skill your agent uses when deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target.

MITAuto-check passedResearch & Science

Install Joap Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-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-Applied-Psychology-Skills/skills/joap-topic-selection .claude/skills/joap-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
joap-topic-selection
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
547 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 I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target.

  • Works in 4 steps: Theoretical contribution. It changes how… → Measurement & design rigor. Constructs… → Applied + scientific relevance. The… → …
  • Deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target
  • SKILL.md covers When to trigger, The fit test, Article type and Fit scoring — worked example…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Joap Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target. JAP wants a genuine theoretical contribution to work-and-organizational science backed by rigorous measurement, not a rigorous study with no theoretical advance. Frames the question and tests fit; it does not collect data.

Its SKILL.md is about 1.6k 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. 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 I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target

Example prompts

  • “/joap-topic-selection”

Workflow steps

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

  1. Theoretical contribution. It changes how I-O scholars understand a work phenomenon — a new
  2. Measurement & design rigor. Constructs are validly measured; the design supports the inference
  3. Applied + scientific relevance. The phenomenon matters for work and organizations and for
  4. Cumulative footing. It is preregisterable / replicable and its data, materials, and code can be

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

Joap Topic Selection loads about 1.6k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 547 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 547 words, ~1,562 tokens.

Download SKILL.mdSave it as .claude/skills/joap-topic-selection/SKILL.md (or your agent's skills folder).
name
joap-topic-selection
description
Use when deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target. JAP wants a genuine theoretical contribution to work-and-organizational science backed by rigorous measurement, not a rigorous study with no theoretical advance. Frames the question and tests fit; it does not collect data.

Topic Selection & Fit (joap-topic-selection)

JAP publishes original work that advances theory about individual, team, and organizational phenomena at work — motivation, leadership, selection and assessment, teams, job attitudes and well-being, justice, training, turnover. The cardinal fit test is dual: a real theoretical contribution and the measurement/design rigor to support a causal or cumulative claim. Use this skill to pressure-test fit before investing.

When to trigger

  • Choosing among possible projects or framings for JAP
  • A reader said the work feels "atheoretical," "applied-but-not-novel," or "a better fit elsewhere"
  • Deciding between a Feature Article and a Research Report
  • Deciding whether the contribution is empirical, theory-development, or meta-analytic

The fit test

A strong JAP paper usually clears all four:

  1. Theoretical contribution. It changes how I-O scholars understand a work phenomenon — a new mechanism, boundary condition, integration, or construct — not just a new context for a known effect. State the theoretical advance in one sentence.
  2. Measurement & design rigor. Constructs are validly measured; the design supports the inference (causation, mediation, multilevel structure). A cross-sectional single-source correlation rarely clears the bar (see joap-study-design).
  3. Applied + scientific relevance. The phenomenon matters for work and organizations and for theory; JAP is applied science, not consulting.
  4. Cumulative footing. It is preregisterable / replicable and its data, materials, and code can be shared under the journal's TOP-aligned policy (see joap-open-science-and-transparency).

Article type

  • Feature Article — a full, programmatic contribution; length commensurate with the contribution.
  • Research Report — a focused, shorter empirical contribution (often a tight multi-study package); confirm the current page/length cap on the official page (待核实).
  • Theory-development / integrative review — a conceptual advance or cumulative synthesis with no new primary data; joap-theory-and-hypotheses carries it.
  • Qualitative research — an I-O contribution built on qualitative evidence with explicit trustworthiness criteria.
  • Meta-analysis — a cumulative quantitative synthesis; transparency of coding and data is essential.

Fit scoring — worked example (illustrative)

Score a candidate against the four gates before investing. A leadership project, two framings:

Candidate A (off-fit): one cross-sectional survey (N = 220), servant
            leadership ↔ performance, all self-report, no theory advance.
  Theory ✗ (known correlation, new sample)   Rigor ✗ (single-source CSV)
  Relevance ~ moderate   Cumulative ~ (shareable but thin)
  Verdict: off-fit → reframe with a mechanism + multilevel/temporal design, or
            place in an applied outlet.

Candidate B (strong): two-wave multilevel field study (N = 612 in 74 teams)
            + lab experiment; servant leadership → psychological safety →
            team performance; open data/materials, lab study preregistered.
  Theory ✓ (cross-level mechanism, boundary condition)
  Rigor ✓ (temporal separation, nesting modeled, experimental causal leg)
  Relevance ✓   Cumulative ✓
  Verdict: strong fit → Feature Article.
Show full SKILL.md (231 more words)Show less

Article-type decision rules

If the work is...Target typeWhy
Programmatic, multi-study, theory + rigorFeature Articlethe standard high-impact empirical slot
Focused, shorter, still a clear contributionResearch Reporttighter budget; confirm current cap (待核实)
A conceptual advance with no new dataTheory-development articlejoap-theory-and-hypotheses is the spine
A cumulative synthesis of an effectMeta-analysis / integrative reviewtransparency of coding decisions is essential
A qualitative I-O contributionQualitative researchstate trustworthiness/credibility criteria

Reviewer / editor pushback at the fit stage

  • "No theoretical contribution" → name the new mechanism, boundary, or integration; rigor alone will not save an atheoretical paper here.
  • "Single-source cross-sectional" → add temporal separation, a second source, or an experimental leg before submitting (route to joap-study-design).
  • "Better fit for an applied/practitioner outlet" → if the advance is to practice but not to I-O theory, JAP is the wrong venue; reframe the scientific contribution or place elsewhere.

Anti-patterns

  • A rigorous study with no advance in I-O theory (the most common JAP desk reject)
  • A known effect demonstrated in one new sample or context, framed as novel
  • Cross-sectional single-source self-report as the entire evidentiary base
  • Choosing a Feature Article when the contribution is genuinely a Research Report (over-claiming scope)
  • Confusing JAP with a sibling (Personnel Psychology, AMJ, OBHDP, JOB) and writing to the wrong bar

Output format

【Question / phenomenon】one sentence
【Theoretical contribution】new mechanism / boundary / integration / construct
【Rigor】design + measurement adequate for the claim? [Y/N]
【Relevance】applied + scientific stakes
【Cumulative】shareable + preregisterable under TOP? [Y/N]
【Type】Feature Article / Research Report / theory-development / review / qualitative / meta-analysis
【Fit verdict】strong / needs reframing / off-fit (why)
【Next】joap-theory-and-hypotheses

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 Journal-of-Applied-Psychology-Skills/skills/joap-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Joap Topic Selection

What does Joap Topic Selection do?

A skill your agent uses when deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target. Joap Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target.

When should I use Joap Topic Selection?

Joap Topic Selection fits situations like: deciding whether an I-O / applied-psychology project fits the Journal of Applied Psychology (JAP) and which article type to target.

How do I install Joap Topic Selection in Claude Code?

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

How do I install Joap Topic Selection in Codex?

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

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

What does Joap Topic Selection need to run?

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

Does Joap 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 Joap 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 Joap Topic Selection use?

Joap 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 Joap Topic Selection use?

About 1.6k tokens (SKILL.md is roughly 6.2k 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 Joap Topic Selection?

Skills that share tags, products or a category with Joap Topic Selection: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Joap 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.