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james-traina/compound-science

20 skills

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$npx skills add james-traina/compound-science
SkillInstalls
bayesian-estimationThis skill covers Bayesian estimation and inference in quantitative social science.—causal-inferenceThis skill covers causal inference methods in observational and quasi-experimental settings.—causal-mlThis skill covers causal machine learning methods in applied economics and quantitative social science.—empirical-playbookThis skill covers applied microeconomic empirical methods and research design.—estimateRun a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook—game-theoryThis skill covers game-theoretic methods in structural econometrics and industrial organization.—identification-proofsThis skill covers formal identification arguments and proofs in structural and reduced-form econometrics.—lfgFull autonomous research workflow — brainstorm, plan, implement, review, and document—publication-outputThis skill covers publication-quality tables and figures for academic research papers.—replicateBuild and verify replication packages — routes to reproducibility-auditor agent—reproducible-pipelinesThis skill covers reproducible research pipelines and replication packages.—slfgFull autonomous research workflow using swarm mode for parallel execution—structural-modelingThis skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation,…—submission-guideThis skill covers academic journal submission, referee responses, and revision management.—workflows-brainstormExplore methodological approaches through structured analysis before planning implementation—workflows-compoundDocument a recently solved research problem to compound methodological knowledge—workflows-ideateDivergent research ideation — generate many candidate directions, then adversarially filter to the strongest—workflows-planTransform research descriptions into well-structured implementation plans following project conventions—workflows-reviewRun multi-agent econometric review on estimation code, identification arguments, and research artifacts—workflows-workExecute research implementation plans efficiently while maintaining estimation quality and finishing features—