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A pattern library of STATA code extracted from JAR replication files (2017–2025). Provides tested syntax for DiD, IV, RDD, event studies, survival analysis, reg
This skill supplies a curated library of STATA code patterns derived from 126 JAR replication .do files. It helps agents provide concrete, tested STATA syntax for common empirical tasks — e.g., difference-in-differences, instrumental variables, regression discontinuity, event studies (CAR/BHAR), survival/Cox models, Fama-MacBeth regressions, bootstrap, quantile regression, and table generation with esttab/outreg2. The skill emphasizes code patterns, not methodological advice.
Use when a user asks 'How do I implement [method] in STATA?' or requests ready-to-adapt syntax for a specific analysis (treatment, outcomes, controls). Avoid using this skill for research design decisions; it intentionally does not provide causal identification guidance.
references/REFERENCES.md) and 126 .do files are available in the repo for direct extraction.Agents that can read repository files and adapt code snippets (code-capable assistants, research automation agents).
A STATA code pattern library extracted from 126 JAR replication files (2017-2025). No bundled scripts — purely a reference skill that indexes .do files for econometric methods (DiD, IV, RDD, event studies, etc.). Well-structured SKILL.md with clear scope limitations, staged workflow, and grep-based fallback patterns. Very niche audience (academic accounting researchers using STATA).
Clean skill with no security concerns. Pure documentation/reference pattern with no executable scripts. Well-organized frontmatter and clear workflow, but very narrow audience.
Plotly (Interactive Python Visualizations)
Interactive Python visualization skill for building hoverable, zoomable, and embeddable charts (Plotly Express + Graph Objects) for EDA, dashboards, and present
Scientific Exploratory Data Analysis
Human-guided, defensive exploratory data analysis for scientific datasets: capture context first, propose one step, run disposable scripts, and keep an append-o
Stata MCP
Run and debug Stata workflows via a local MCP Stata server: execute commands, load datasets, inspect variables, run .do files, and export graphs from within cha
Walmart Sales Data Deep Analyzer
Analyze Walmart weekly sales versus unemployment to produce charts, regression analysis, and a polished HTML report with business recommendations.
Handle PDF tasks: extract text/tables, merge/split, rotate, watermark, and OCR scanned documents with reproducible rules and verifiable outputs.
Stata
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community pa...
NeuriCo — Autonomous Research Framework
Orchestrates end-to-end AI research: literature review, experiment execution, analysis, and paper drafting from a structured idea spec.
Scikit-learn (Classical ML reference)
Comprehensive scikit-learn guidance for classification, regression, clustering, preprocessing, model evaluation, and production-ready ML pipelines.