Build and verify replication packages — routes to reproducibility-auditor agent
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Build and verify replication packages — routes to reproducibility-auditor agent
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Explore methodological approaches through structured analysis before planning implementation
Document a recently solved research problem to compound methodological knowledge
Execute research implementation plans efficiently while maintaining estimation quality and finishing features
Extract TikZ diagrams from Beamer source, compile to PDF, convert to SVG with 0-based indexing. Use when updating TikZ diagrams for Quarto slides.
End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures.
R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and publication-ready outputs.
Validate bibliography entries against citations in all manuscript files. Find missing entries and unused references.
Run an end-to-end data analysis in R or Python: load, explore, analyze, and produce publication-ready output.
Cross-reference all citations in source files against bibliography entries.
Submission pipeline — journal targeting, replication package, audit, and final gate. Replaces /submit, /target-journal, /audit-replication, /data-deposit.
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Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.
'Unwraps hard-wrapped markdown files so that each sentence ends with a newline instead of mid-sentence line breaks. Joins continuation lines within a paragraph into single lines, then re-breaks at sentence boundaries (period, question mark, exclamation point). Preserves blank lines, headings, fenced code blocks, block quotes, and list items. Use when asked to unwrap text, fix line breaks, reflow sentences, or clean up hard-wrapped markdown or .qmd files.'
'Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.'
diverga
humanize
Computational methods for statistical inference and optimization
Design and implementation of comprehensive simulation studies
Core mathematical concepts and theoretical frameworks for statistics
Structured methodology for constructing and verifying mathematical proofs in statistical research
Six-phase protocol for adapting methods across research domains
Cross-checks citation keys in index.qmd against references.bib, reporting missing, orphaned, and duplicate entries. Use when verifying citations.
Scans notebooks for data file references and verifies each file exists on disk. Use when checking for broken data paths.
Executes all registered notebooks, strips noisy cell metadata, and syncs Jupytext pairs. Use when asked to re-run notebooks or refresh outputs.
Checks whether registered notebooks have current, stale, or missing outputs. Use before rendering or to verify freshness.
Writes academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.
Creates a Jupyter notebook with Jupytext pairing and registers it in _quarto.yml. Use when adding a new notebook.
Extract and apply knowledge from Kaggle competition winning solutions. This skill provides access to a continuously updated knowledge base of techniques, code patterns, and best practices from top Kag
A Claude skill for economists that ensures rigorous data decisions and directs users only to authoritative sources. Interfaces with Playwright MCP for web data retrieval.
Cross-reference all citations in manuscript and book files against bibliography entries.
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, \u8865\u5168\u8bc1\u660e, \u5199\u8bc1\u660e, \u8bc1\u660e\u67d0\u4e2a\u547d\u9898, or determine whether a claimed proof can actually be completed under the stated assumptions.
Guide to Algorithm Visualizer for interactive algorithm exploration
Guide to D3.js for building custom interactive data visualizations
Guide to Apache ECharts for interactive research data dashboards
Create maps, choropleths, and spatial data visualizations for research
Interactive data visualization with Plotly, ECharts, and D3
Guide to Metabase for open-source research data analytics and dashboards