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Cognitive Psychology Skills
<p align="center"> <img src="assets/cover.svg" alt="Cognitive Psychology cover" width="200"> </p>
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Agent skill stack for manuscripts targeted at Cognitive Psychology (Elsevier) — a leading journal of cognitive science, covering attention, perception, memory, learning, language, categorization, reasoning, problem-solving, and judgment and decision-making. Cognitive Psychology is distinctive for publishing longer, integrative, model-driven papers: it favors multi-experiment programs that combine tightly controlled cognitive experiments with formal computational or mathematical modeling, developing and testing theories of cognition through the experiment-to-model-fit loop.
This repository is opinionated. It is not a generic psychology-writing toolbox and it is not a relabeled short-report pack. It is Cognitive Psychology-specific: a contribution shape built around a formal model that is fit and compared, a multi-experiment program where each study adds inference, model comparison with parameter/model recovery, and reproducible model code deposited alongside the data. Submission is via Elsevier Editorial Manager.
What Is Cognitive Psychology, and Why a Dedicated Stack?
Its constraints differ sharply from a short-report or a purely empirical social-science journal:
| Constraint | Cognitive Psychology | Implication |
|---|---|---|
| Contribution shape | Longer, integrative, model-driven article (multi-experiment + formal model) | A single isolated effect is the wrong shape |
| Theory | A formal/computational model with interpretable parameters | Verbal-only theory or "just a curve fit" is punished |
| Design | Experiments engineered to discriminate competing models | A design both rivals predict equally wastes the experiment |
| Analysis | Model fitting + comparison (AIC/BIC/Bayes factors) + recovery | A single fit with no rival/recovery is not persuasive |
| Hierarchy | (G)LMMs / hierarchical Bayesian over crossed subject/item variance | Aggregating to cell means inflates false positives |
| Exhibits | Figures overlay model fit on data; a model-comparison table | Bars of means hide what the venue cares about |
| Publisher / portal | Elsevier / Editorial Manager | Complete the Elsevier research-data + competing-interest declarations |
| Open science | Share data + model/analysis code + materials; fits regenerate from code | Code transparency is the venue-specific must |
Volatile specifics (current editor, review model, length guidance, abstract limit, data/code policy wording, accepted article types) change — items not directly confirmed are marked 待核实 in resources/official-source-map.md. Verify on the official page.
Quick Start
Option A — Claude Code Plugin (recommended)
/plugin marketplace add https://github.com/brycewang-stanford/awesome-journal-skills
/plugin install cognitive-psychology-skills
/reload-pluginsOption B — Manual Copy
git clone https://github.com/brycewang-stanford/awesome-journal-skills.git
cd awesome-journal-skills/Cognitive-Psychology-Skills
mkdir -p ~/.claude/skills && cp -R skills/cogpsych-* ~/.claude/skills/
# or
mkdir -p ~/.codex/skills && cp -R skills/cogpsych-* ~/.codex/skills/First Prompt
Use cogpsych-workflow to tell me which skill I should use next for my Cognitive Psychology manuscript.Default Workflow
cogpsych-topic-selection
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cogpsych-theory-and-hypotheses (formalize the model + rival first)
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cogpsych-literature-positioning
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cogpsych-study-design (design experiments to discriminate models)
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cogpsych-data-analysis (fit + compare + recover)
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cogpsych-tables-figures (overlay model fit on data)
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cogpsych-writing-style (integrate the program into one argument)
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cogpsych-open-science-and-transparency
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cogpsych-review-process
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cogpsych-submission
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cogpsych-rebuttalcogpsych-workflow is the router. Because the model is the contribution, formalize theory before positioning, and co-design experiments with the model — iterate cogpsych-theory-and-hypotheses ↔ cogpsych-study-design.
Skills
| Skill | Purpose |
|---|---|
cogpsych-workflow | Router — decides which sub-skill to invoke next |
cogpsych-topic-selection | Model-driven fit; multi-experiment vs. experiment-plus-model vs. review |
cogpsych-theory-and-hypotheses | Formalize the model + rival; derive the discriminating prediction |
cogpsych-literature-positioning | Position against rival models, not a chronology |
cogpsych-study-design | Confound control, counterbalancing, power for the critical contrast |
cogpsych-data-analysis | Model fitting + comparison (AIC/BIC/BF) + recovery; mixed/hierarchical |
cogpsych-tables-figures | Exhibits that overlay model fit on data; the comparison table |
cogpsych-writing-style | Weave a multi-experiment program + model into one argument |
cogpsych-open-science-and-transparency | Open data + model/analysis code + materials; reproducible fits, DOIs |
cogpsych-review-process | Editorial triage + expert modeling scrutiny; revision cycles |
cogpsych-submission | Editorial Manager preflight (shape, modeling, code, declarations) |
cogpsych-rebuttal | Revision response strategy for added experiments/model comparisons |
Resources
resources/external_tools.md— modeling frameworks (Stan/JAGS/PyMC), model comparison (loo, Bayes factors), mixed models (lme4/brms), repositories (OSF/Mendeley Data/Zenodo), reproducibility toolingresources/official-source-map.md— official Elsevier / ScienceDirect URLs behind every fact, with 待核实 markersresources/worked-examples/01-introduction.md— a before→after Introduction in the journal's model-driven house style (fictional)resources/exemplars/library.md— real, web-verified _Cognitive Psychology_ papers by topic × method, with a sibling-journal omission guard
Differences vs. Sibling Journals
| Journal | What it wants | How this pack differs |
|---|---|---|
| Cognitive Psychology (this pack) | Long, integrative, model-driven multi-experiment programs | Centered on the experiment-to-model-fit loop, model comparison + recovery, code transparency |
| Cognition (Elsevier) | Broader, more effect-/phenomenon-led cognitive science | Cognition takes shorter, phenomenon-first papers; bring the model-driven program here |
| JEP: General (APA) | High-impact experimental cognition | Cognitive Psychology leans harder into formal modeling + the multi-experiment program |
| Psychological Science (APS/SAGE) | Short, single-finding reports (≤ 2,000-word core) | Opposite length/ambition; one effect is wrong-shape here |
| Journal of Memory and Language (Elsevier) | Narrower-scope memory/language work | Bring the integrative, model-driven contribution to Cognitive Psychology |
What This Repo Does Not Do
- It does not write a submittable manuscript for you
- It does not simulate any specific editor's or reviewer's taste
- It does not assert volatile metadata (current editor, review model, length guidance, data/code policy wording) — verify on the official page; unverified items are marked 待核实
- It does not decide whether your model is a genuine theoretical advance — that is the researcher's call
Related
- awesome-journal-skills — Index of journal-specific skill packs
- Cognitive Psychology (Elsevier / ScienceDirect) — scope, guide for authors, submission
- Cognitive Psychology — Guide for Authors — submission, data/code policy, declarations
License
MIT