Twelve-skill theory-development bundle for Psychological Review, the APA's new-theory/formal-model flagship. Theory-problem framing, formal/conceptual model construction, prediction derivation against rival models and existing data, scope and boundary conditions, model diagrams and simulation-of-model-behavior exhibits, APA style, contribution differentiation, and masked review via Editorial Manager. NO primary empirical reports — that is the lane of the JEP family / Psychological Science.
Plugin psychological-review-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.
psychrev-argument-developmentUse when deriving predictions from a Psychological Review theory and confronting them with existing data and rival models — the journal's substitute for an empirical results section. Develops the argument; it does NOT build the model (psychrev-theory-construction) or set its scope and identifiabilit
psychrev-boundary-conditionsUse when setting the scope of a Psychological Review theory — what it explains, what it does NOT, and (for formal models) whether its parameters are identifiable. Bounds the theory; it does NOT derive its predictions (psychrev-argument-development) or frame its advance over rivals (psychrev-contribu
psychrev-conceptual-exhibitsUse when designing the figures of a Psychological Review manuscript — model/architecture diagrams and simulation-of-model-behavior plots (NOT experiments). Builds the exhibits; it does NOT derive the predictions they display (psychrev-argument-development) or set the model's scope (psychrev-boundary
psychrev-contribution-framingUse when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or po
psychrev-literature-positioningUse when locating a Psychological Review manuscript within its theoretical conversation — naming the theories it extends and, above all, the rival models it must beat or subsume. Positions the theory; it does NOT build the model (psychrev-theory-construction) or run the head-to-head prediction contr
psychrev-rebuttalUse when a Psychological Review decision letter (usually a major revision) has arrived and you must write the response document and revise the theory. Drafts the response and revision plan; it does NOT run the resubmission preflight (psychrev-submission) or build new theory from scratch (psychrev-th
psychrev-review-processUse when anticipating how a Psychological Review manuscript will be evaluated — masked peer review, the kinds of decisions, article types (full article vs. Theoretical Note), and what reviewers at a theory journal actually probe. Explains the process; it does NOT write the response document (that is
psychrev-submissionUse when running the final pre-submission preflight for a Psychological Review manuscript — Editorial Manager portal, APA format and length, abstract, masking, references, ethics, and (for computational models) sharing the author's own model code. Theory journal; there is no empirical data-availabil
psychrev-theory-constructionUse when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations. Constructs the model; it does NOT derive and test predictions against data (that is psychrev-ar
psychrev-topic-selectionUse 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
psychrev-workflowUse 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.
psychrev-writing-styleUse when polishing a Psychological Review manuscript to APA house style and theory-paper register — mechanism-first prose, model vocabulary, no empirical-report framing. A late-stage polish; it does NOT build the theory (psychrev-theory-construction) or derive its predictions (psychrev-argument-deve
AI-first computer-science conference skill stack: 155 conference fit-and-submission profiles plus a CS/AI router. Covers top AI/ML, data mining, vision, NLP, robotics, HCI, systems, security, software engineering, programming languages, databases, and theory venues, with current-cycle CFP and author-kit re-check discipline.
156 skills
English natural-science / clinical / physical / formal-science journal routing and per-journal fit skills with official-submission-check discipline.
155 skills
Chinese social-science journal routing and per-journal fit skills with official-submission-check discipline.
103 skills
English economics / business journal routing and per-journal fit skills with official-submission-check discipline.
101 skills
English engineering / technology journal routing and per-journal fit skills with official-submission-check discipline.
41 skills
English humanities journal routing and per-journal fit skills with argument-, source-, and style-guide discipline.
37 skills
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.
2 skills · 1 MCP server
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.
2 skills · 1 MCP server
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
Contribution-first, reviewer-aware academic paper and report writing system.
2 skills
Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management
45 skills · 66 commands · 6 agents · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.