Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Joap Theory And Hypotheses
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript.
Install Joap Theory And Hypotheses
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-theory-and-hypotheses --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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .claude/skills/joap-theory-and-hypotheses && 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 "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .claude/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypothesesType 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 joap-theory-and-hypotheses -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-theory-and-hypotheses --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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .agents/skills/joap-theory-and-hypotheses && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .agents/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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 joap-theory-and-hypotheses -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-theory-and-hypotheses --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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .cursor/skills/joap-theory-and-hypotheses && 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 "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .cursor/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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 Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses--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 joap-theory-and-hypotheses -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-theory-and-hypotheses --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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .gemini/skills/joap-theory-and-hypotheses && 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 "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .gemini/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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 joap-theory-and-hypothesesInstalls 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 joap-theory-and-hypotheses -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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .github/skills/joap-theory-and-hypotheses && 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 "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .github/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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 joap-theory-and-hypotheses -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 joap-theory-and-hypotheses --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/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses .opencode/skills/joap-theory-and-hypotheses && 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 "joap-theory-and-hypotheses" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses into .opencode/skills/joap-theory-and-hypotheses/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-theory-and-hypotheses", 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.
Facts
- Skill name
joap-theory-and-hypotheses- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 562 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript.
- Works in 5 steps: Name the mechanism. What process links X… → Specify the level(s). State whether each… → Derive directional hypotheses. Translate… → …
- Building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript
- SKILL.md covers When to trigger, Build the argument, What counts as a JAP… and Worked micro-example — theory…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Joap Theory And Hypotheses is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript. JAP demands a genuine I-O theoretical contribution with an explicit mechanism, directional hypotheses, and a clear confirmatory/exploratory split — theory stated before the data, not after. Structures the argument; it does not run analyses.
Its SKILL.md is about 1.5k 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
- Building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript
Example prompts
- “/joap-theory-and-hypotheses”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Name the mechanism. What process links X to Y, and why — grounded in I-O theory (e.g., social
- Specify the level(s). State whether each construct and relationship is at the individual, dyad,
- Derive directional hypotheses. Translate the theory into specific, signed, testable predictions;
- Mark hypothesis status. Separate confirmatory (preregistered / predicted in advance) from
- Specify what would disconfirm. Say which results count against the theory — this is what makes
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 Theory And Hypotheses loads about 1.5k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 562 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.
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). 562 words, ~1,527 tokens.
Download SKILL.mdSave it as
.claude/skills/joap-theory-and-hypotheses/SKILL.md (or your agent's skills folder).- name
- joap-theory-and-hypotheses
- description
- Use when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript. JAP demands a genuine I-O theoretical contribution with an explicit mechanism, directional hypotheses, and a clear confirmatory/exploratory split — theory stated before the data, not after. Structures the argument; it does not run analyses.
Theory & Hypotheses (joap-theory-and-hypotheses)
JAP is theory-first. A paper lives or dies on whether it makes a theoretical contribution to I-O science — a new mechanism, boundary condition, integration of frameworks, or construct clarification — and whether the hypotheses follow from that theory. The cardinal honesty rule: state theory and confirmatory hypotheses before the data, and label anything generated after seeing data as exploratory.
When to trigger
- Building the theoretical model and deriving hypotheses
- Writing a preregistration / pre-analysis plan
- Reconciling what you predicted with what you found
- A reviewer flagged the work as "atheoretical," "post hoc," "HARKed," or "no contribution"
Build the argument
- Name the mechanism. What process links X to Y, and why — grounded in I-O theory (e.g., social exchange, conservation of resources, self-determination, JD-R, affective events, justice). The mechanism is the contribution's core, not decoration.
- Specify the level(s). State whether each construct and relationship is at the individual, dyad, team, or organization level, and whether effects are cross-level (e.g., 1-1-1, 2-1-1, 2-2-1). JAP reviewers read level-of-analysis sloppiness as a theory error.
- Derive directional hypotheses. Translate the theory into specific, signed, testable predictions; state mediation and moderation as formal hypotheses, not afterthoughts.
- Mark hypothesis status. Separate confirmatory (preregistered / predicted in advance) from exploratory (post hoc) analyses, clearly, in the text.
- Specify what would disconfirm. Say which results count against the theory — this is what makes the test, and the contribution, credible.
What counts as a JAP theoretical contribution
| Contribution type | What it must show |
|---|---|
| New mechanism | a process not previously specified linking established constructs |
| Boundary condition | when/for whom a known effect holds or reverses (a theorized moderator) |
| Integration | two frameworks reconciled to predict something neither does alone |
| Construct work | a clarified, differentiated, or newly measured construct with validity evidence |
| Cross-level model | how a higher-level factor shapes lower-level processes (or emergence upward) |
Worked micro-example — theory to hypothesis status (illustrative)
A servant-leadership package, written so the mechanism, levels, and hypothesis status are legible.
Mechanism: Servant leadership signals safety and worth, building team
psychological safety (social-exchange + safety climate), which
frees members to voice and coordinate, raising team performance.
Levels: Leadership (team, L2) → psychological safety (team, L2) →
performance (team, L2); voice tested as L1 mediator (2-2-2 / 2-1-2).
H1 (confirmatory): Servant leadership relates positively to team performance.
H2 (confirmatory): Team psychological safety mediates H1.
H3 (confirmatory, preregistered in the lab study):
The effect is stronger under high task interdependence (boundary).
Disconfirming: a near-zero indirect effect with a CI spanning zero, or a
reversed safety path, counts against the account — stated up front.Show full SKILL.md (238 more words)Show less
Theory-stage reviewer pushback and the venue fix
| Reviewer pushback | JAP fix |
|---|---|
| "No theoretical contribution" | name the new mechanism/boundary/integration in one sentence before H1 |
| "Level of analysis is muddled" | label every construct's level and the cross-level form (1-1-1, 2-1-1, …) |
| "This looks HARKed" | show the preregistration timestamp; relabel post hoc analyses exploratory |
| "Hypotheses don't follow from the theory" | rebuild each H as a signed deduction from the stated mechanism |
| "Mediation/moderation asserted, not theorized" | give the process reason the indirect/interaction effect should exist |
Theory calibration anchors
- The contribution is the mechanism and its boundary, not the data context — "we tested it in hospitals" is a setting, not a theory advance.
- Level of analysis is theory, not bookkeeping: a cross-level claim needs a cross-level model and a cross-level hypothesis, stated as such.
- The honesty rule is temporal: anything specified before data is confirmatory; anything generated after seeing data is exploratory. Preregistration and the data-transparency appendix make the line visible to masked reviewers.
- Stating what would disconfirm the theory converts a story into a test; an unfalsifiable framing reads as a red flag at JAP.
Anti-patterns
- A "contribution" that is only a new sample/industry for a known effect
- Muddled or unstated level of analysis
- Mediation/moderation hypotheses with no theorized process behind them
- Theory written to fit the result after the fact (HARKing)
- Blurring confirmatory and exploratory hypotheses
Output format
【Mechanism】the I-O process linking the constructs, briefly
【Levels】each construct's level + cross-level form (1-1-1 / 2-1-1 / 2-2-2 …)
【Hypotheses】directional, signed (H1, H2 mediation, H3 moderation …)
【Status】which are confirmatory (preregistered) vs exploratory
【Disconfirming evidence】what would count against the theory
【Next】joap-literature-positioningSupplementary resources
../../resources/external_tools.md— preregistration templates, theory-mapping and measurement tools../../resources/official-source-map.md— scope and contribution expectations
© 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-theory-and-hypotheses of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Joap Theory And Hypotheses 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 |
|---|---|---|---|---|---|---|
| Joap Theory And Hypotheses this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
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GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
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.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
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Structured manuscript/grant review with checklist-based evaluation.
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Questions about Joap Theory And Hypotheses
What does Joap Theory And Hypotheses do?
A skill your agent uses when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript. Joap Theory And Hypotheses is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript.
When should I use Joap Theory And Hypotheses?
Joap Theory And Hypotheses fits situations like: building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript.
How do I install Joap Theory And Hypotheses in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses -a claude-code`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/joap-theory-and-hypotheses in your project. Claude Code loads it when a task matches its description.
How do I install Joap Theory And Hypotheses in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses -a codex`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/joap-theory-and-hypotheses in your project. Codex loads it when a task matches its description.
Can I use Joap Theory And Hypotheses 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-theory-and-hypotheses -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-theory-and-hypotheses, .gemini/skills/joap-theory-and-hypotheses, .github/skills/joap-theory-and-hypotheses and .opencode/skills/joap-theory-and-hypotheses in your project.
What does Joap Theory And Hypotheses need to run?
SKILL.md names no scripts, command-line tools or credentials: Joap Theory And Hypotheses is instructions for the agent only.
Does Joap Theory And Hypotheses 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 Theory And Hypotheses 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 Theory And Hypotheses use?
Joap Theory And Hypotheses 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 Theory And Hypotheses use?
About 1.5k tokens (SKILL.md is roughly 6.1k 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 Theory And Hypotheses?
Skills that share tags, products or a category with Joap Theory And Hypotheses: 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 Theory And Hypotheses?
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.