Twelve-skill bundle covering the Population and Development Review (PDR) manuscript lifecycle across the demography-and-development intersection, with demographic methods (life tables, decomposition, event history, age-period-cohort, projections), synthetic-essay craft, double-anonymized review, Free Format ScholarOne submission, and no author fees under the standard model.
Plugin population-and-development-review-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.
popdevr-data-analysisUse when executing and reporting the analysis for a Population and Development Review (PDR, Wiley / Population Council) manuscript so it survives expert, double-anonymized review — correct rate construction, honest uncertainty, and demographic methods done right, with the development/policy meaning
popdevr-literature-positioningUse when positioning a Population and Development Review (PDR, Wiley / Population Council) manuscript against the population-and-development literature so it reads as a broad-interest contribution. PDR readers span demography, economics, environment, and policy, so the paper must engage both the pop
popdevr-rebuttalUse when writing the response to a Population and Development Review (PDR, Wiley / Population Council) revise-and-resubmit. PDR review is double-anonymized and cross-field (demographers and development scholars), so the response must convert every expert reviewer on population substance and on the d
popdevr-research-designUse when defending the research design of a Population and Development Review (PDR, Wiley / Population Council) manuscript — choosing among demographic methods (life tables, decomposition, event-history, age-period-cohort, projections) and, where the question is causal, defending identification, wit
popdevr-review-processUse when you need to understand how Population and Development Review (PDR, Wiley / Population Council) evaluates a manuscript — an editorial-committee screen before external review, double-anonymized peer review by at least two referees, and a typical ~3-month time to first decision. Sets expectati
popdevr-submissionUse when running the final pre-submission preflight for Population and Development Review (PDR, Wiley / Population Council) via ScholarOne Manuscripts — article-type selection, Free Format first-round submission, double-anonymized preparation, the data availability statement, ORCID, and confirmation
popdevr-tables-figuresUse when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible to a broad demography-and-development readership. Covers distinctive demographic graphics (population pyramids, age schedu
popdevr-theory-buildingUse when building the argument of a Population and Development Review (PDR, Wiley / Population Council) manuscript into a population-and-development contribution — whether the work is an empirical study, a formal/conceptual model, or a synthetic essay that reorganizes a debate. PDR rewards a clear m
popdevr-topic-selectionUse when deciding whether a project fits Population and Development Review (PDR, Wiley / Population Council) and which article type to target. PDR sits at the intersection of demography and development, so the test is a population-change question tied to social, economic, or environmental change and
popdevr-transparency-and-dataUse when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript. PDR follows Wiley's data-sharing and research-integrity expectations — a data availability statement, ORCID, and reproducible, well-d
popdevr-workflowUse when starting or orienting any Population and Development Review (PDR, Wiley / Population Council) manuscript and unsure which skill applies — the entry-point router that dispatches to the right PDR sub-skill by lifecycle stage and article type (Research Article, Notes & Commentary, Data & Persp
popdevr-writing-styleUse when drafting or polishing a Population and Development Review (PDR, Wiley / Population Council) manuscript so it reads for a broad demography-and-development audience, follows the journal's house conventions (APA-style references; Free Format first round), and fits typical length norms (Researc
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
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