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SkillsMP a collecté 1 111 skills depuis brycewang-stanford/Auto-Empirical-Research-Skills. Ouvrez un skill pour examiner sa source et ses détails.
brycewang-stanford/Auto-Empirical-Research-SkillsAffichage de 40 skills collectés sur 1 111.
Verify academic citations against CrossRef, Semantic Scholar, and OpenAlex. Detects AI-hallucinated references, chimeric citations, and suspicious patterns.
Langue du texte source : anglais
Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.
Langue du texte source : anglais
Computational methods for statistical inference and optimization
Langue du texte source : anglais
Quality assurance and testing protocols for statistical software
Langue du texte source : anglais
Core mathematical concepts and theoretical frameworks for statistics
Langue du texte source : anglais
Meta-analysis frameworks and methods for mediation studies
Langue du texte source : anglais
Sensitivity analysis frameworks and assumption-testing methods
Langue du texte source : anglais
Effective communication strategies for statistical methods
Langue du texte source : anglais
Strategic publication planning and venue selection for research
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : chinois
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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",…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Langue du texte source : anglais
Panel data analysis with Python using linearmodels and pandas.
Langue du texte source : anglais
Run IV, DiD, and RDD analyses in R with proper diagnostics
Langue du texte source : anglais
Run regression analyses in Stata with publication-ready output tables.
Langue du texte source : anglais
Create academic presentations in Beamer with professional themes
Langue du texte source : anglais
Create publication-quality charts and graphs for economics papers.
Langue du texte source : anglais
Fetch economic data from FRED, World Bank, and other APIs
Langue du texte source : anglais
Clean and transform messy data in Stata with reproducible workflows
Langue du texte source : anglais
Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
Langue du texte source : anglais
Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
Langue du texte source : anglais
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…
Langue du texte source : anglais
Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
Langue du texte source : anglais
Generate research questions from economic phenomena
Langue du texte source : anglais
Search, summarize, and synthesize economics literature
Langue du texte source : anglais
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
Langue du texte source : anglais
Write and typeset economic models in LaTeX with proper notation
Langue du texte source : anglais
Draft economics papers with proper structure and academic style
Langue du texte source : anglais
Generate publication-ready regression tables in LaTeX.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais