Twelve-skill bundle covering the The Review of Economics and Statistics (REStat) manuscript lifecycle, from topic selection through the Harvard Dataverse replication package and R&R rebuttal.
1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
Use when the causal-identification or measurement strategy is the bottleneck for a The Review of Economics and Statistics (REStat) manuscript — a DID / RD / IV / shift-share design, or a measurement / measurement-error problem. Stress-tests the design to REStat's applied-econometrics-and-measurement
restat-literature-positioning
Use when the marginal contribution of a The Review of Economics and Statistics (REStat) manuscript against the closest prior work is fuzzy, generic, or oversold. Stakes the contribution precisely; it does not run analysis or write the full literature review.
restat-rebuttal
Use when a The Review of Economics and Statistics (REStat) decision letter (R&R or reject-and-resubmit) has arrived and the manuscript needs a response-to-referees letter and a revision plan. Drafts the response strategy; it does not run new analysis (route that to the analysis skills).
restat-referee-strategy
Use when anticipating the objections a The Review of Economics and Statistics (REStat) referee will raise for a given design, and pre-empting them in the manuscript before submission. Maps threats to defenses; it does not draft the post-decision response letter (that is restat-rebuttal).
restat-replication-package
Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy — the deposit to the REStat Harvard Dataverse with a README that permits replication. Builds the package; it does not run t
restat-robustness
Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before submission. Builds the robustness suite that REStat referees expect; it does not establish the primary identification.
restat-submission
Use when running the final pre-submission preflight for The Review of Economics and Statistics (REStat) via Editorial Express — format rules, abstract limit, online-appendix cap, article categories, submission fee, the proprietary-data fee hold, and house style. Final checks; it does not draft conte
restat-tables-figures
Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house style. Designs publication-grade exhibits; it does not run the underlying estimation.
restat-theory-model
Use when deciding how much theory or structure a The Review of Economics and Statistics (REStat) manuscript should carry — right-sizing a model so it interprets or disciplines the empirical estimate without becoming the contribution. Calibrates the theory's role; it does not develop new theory for i
restat-topic-selection
Use when deciding whether an applied-economics project fits The Review of Economics and Statistics (REStat) rather than AER / AEJ:Applied / J. Econometrics / a field journal, and sharpening the question to REStat's empirical-and-measurement bar. Decides venue fit and frames the question; it does not
restat-workflow
Use when deciding which restat-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission. Routes — it does not replace — the specialized skills.
restat-writing-style
Use when revising the prose of a The Review of Economics and Statistics (REStat) manuscript — especially the abstract and introduction — so the applied question and the estimate land immediately in REStat house style. Polishes framing and prose; it does not change results or identification.
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.
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.
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.
Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management
45 skills · 66 commands · 6 agents · hooks
Galaxy-Dawn/claude-scholar 6,042
Maintain restat-skills?
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.