brycewang-stanford/Auto-Empirical-Research-Skills - 8ページ

check-citations

Verify academic citations against CrossRef, Semantic Scholar, and OpenAlex. Detects AI-hallucinated references, chimeric citations, and suspicious patterns.

原文の言語: 英語

lifelines

Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.

原文の言語: 英語

computational-inference

Computational methods for statistical inference and optimization

原文の言語: 英語

statistical-software-qa

Quality assurance and testing protocols for statistical software

原文の言語: 英語

mathematical-foundations

Core mathematical concepts and theoretical frameworks for statistics

原文の言語: 英語

mediation-meta-analyst

Meta-analysis frameworks and methods for mediation studies

原文の言語: 英語

sensitivity-analyst

Sensitivity analysis frameworks and assumption-testing methods

原文の言語: 英語

methods-communicator

Effective communication strategies for statistical methods

原文の言語: 英語

publication-strategist

Strategic publication planning and venue selection for research

原文の言語: 英語

event-study

Use this skill whenever the user wants to conduct an event study, create event study plots, test for parallel trends, implement difference-in-differences designs, or work with any panel data estimation that involves pre/post treatment comparisons. Trigger on…

原文の言語: 英語

humanize-chinese

Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three…

原文の言語: 中国語

literature-review

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…

原文の言語: 英語

ml-paper-writing

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX…

原文の言語: 英語

latex-document

Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific…

原文の言語: 英語

causal-inference-mixtape

This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model",…

原文の言語: 英語

avoid-ai-writing

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a…

原文の言語: 英語

humanizer-academic

Remove signs of AI-generated writing from academic medical papers. Use when editing or reviewing manuscripts to make them sound more natural and professionally written. Based on Wikipedia's "Signs of AI writing" guide, adapted for medical literature. Detects…

原文の言語: 英語

deslop

Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to "deslop", "de-AI", "make it…

原文の言語: 英語

stop-slop

Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

原文の言語: 英語

python-panel-data

Panel data analysis with Python using linearmodels and pandas.

原文の言語: 英語

r-econometrics

Run IV, DiD, and RDD analyses in R with proper diagnostics

原文の言語: 英語

stata-regression

Run regression analyses in Stata with publication-ready output tables.

原文の言語: 英語

beamer-presentation

Create academic presentations in Beamer with professional themes

原文の言語: 英語

econ-visualization

Create publication-quality charts and graphs for economics papers.

原文の言語: 英語

api-data-fetcher

Fetch economic data from FRED, World Bank, and other APIs

原文の言語: 英語

stata-data-cleaning

Clean and transform messy data in Stata with reproducible workflows

原文の言語: 英語

code-simplifier

Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.

原文の言語: 英語

commit-push-pr

Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.

原文の言語: 英語

sdd

Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into…

原文の言語: 英語

techdebt

Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.

原文の言語: 英語

research-ideation

Generate research questions from economic phenomena

原文の言語: 英語

lit-review-assistant

Search, summarize, and synthesize economics literature

原文の言語: 英語

general-equilibrium-model-builder

Build and solve Walrasian general equilibrium models with theory derivations and Julia computation

原文の言語: 英語

latex-econ-model

Write and typeset economic models in LaTeX with proper notation

原文の言語: 英語

academic-paper-writer

Draft economics papers with proper structure and academic style

原文の言語: 英語

latex-tables

Generate publication-ready regression tables in LaTeX.

原文の言語: 英語

bayesian-estimation

This skill covers Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, diagnosing chain convergence, or reporting posterior summaries — including hierarchical models, Bayesian structural…

原文の言語: 英語

causal-inference

This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences,…

原文の言語: 英語

causal-ml

This skill covers causal machine learning methods in applied economics and quantitative social science. Use when implementing or choosing between modern ML-based causal estimators — including double machine learning, DML, partially linear models, interactive…

原文の言語: 英語

empirical-playbook

This skill covers applied microeconomic empirical methods and research design. Use when the user is selecting an identification strategy, comparing estimators, running diagnostics, designing a research study, or evaluating an empirical strategy. Triggers on…

原文の言語: 英語