Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
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 →Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
Generates robustness check code and formats results as a combined table. Use for sensitivity analysis.
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Use this skill when the user wants to repair or strengthen Obsidian wikilinks among existing canonical project notes, especially across papers, knowledge notes, experiments, results, and writing.
Use this skill when papers are collected in Zotero but the user wants detailed reading notes, project-linked literature synthesis, collection-wide paper-note coverage checks, and a connected knowledge map inside the bound Obsidian project knowledge base.
You are a team of elite academic proofreaders and copy-editors specializing in applied microeconomics.
> Dense, machine-readable reference for LLMs. No prose padding.
Run end-to-end validation of the replication package for the sewage-house-prices project.
Run an end-to-end data analysis following sewage project conventions.
Prepare an AEA Data Editor compliant replication package for the sewage-house-prices project.
Draft a section (or full draft) of the "Sewage in Our Waters" academic paper on the causal impact of sewage spills on house prices and rents in England.
Run a 4-phase causal inference audit on the target file(s) for the sewage-house-prices project.
Conduct a structured interview to help formalise a research idea into a concrete specification.
Run the proofreading protocol on the "Sewage in Our Waters" manuscript. Produces a report — does NOT edit source files.
Generate structured research questions, testable hypotheses, and empirical strategies from a topic, phenomenon, or dataset.
Structure a point-by-point response to referee reports for the sewage-house-prices manuscript.
Analyse the sewage-house-prices paper and recommend journals for submission.
Analyze: $ARGUMENTS
Profile the specified target and summarize the results. Target: $ARGUMENTS
Colorblind-friendly palettes and accessible visualization design
12 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
Apply instrumental variables, 2SLS, and address endogeneity issues
Expert panel data regression analysis with fixed effects and GMM
Apply ARIMA, VAR, cointegration, and time series econometric methods
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.
Bayesian inference methods including prior selection, MCMC, and model comparison
Statistical hypothesis testing, power analysis, and significance reporting
Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
Conduct Kaplan-Meier, Cox regression, and time-to-event analyses
Curated 2024-2026 AI agent research papers collection
Industrial anomaly detection methods and benchmark papers
Build transformer fine-tuning plans for classification and generation
Comprehensive collection of domain adaptation research papers
Conference papers on graph neural networks and graph learning
Resources for trustworthy, fair, and ethical AI research
Perform gene set enrichment analysis using the Enrichr API
Automate gene expression analysis with the GenoMAS multi-agent system
Benchmark for LLM agents on gene expression data analysis
Medical deep research agent with reasoning chain analysis
Search and retrieve 3D protein structures from the RCSB Protein Data Bank
Multi-agent system for chemical literature information extraction
Spectral data analysis for NMR, IR, mass spectrometry, and UV-Vis
Formal methods, theorem proving, and model checking for CS research
Guide to software engineering research topics and methodologies
5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.
Biodiversity data access, species occurrence, and ecological tools
Apply conservation biology methods, databases, and assessment tools
Global biodiversity data API for species occurrences and datasets
Species distribution modeling with MaxEnt, SDM methods, and GBIF data
Behavioral economics research methods and key frameworks