Convert existing Marp slides, written in Markdown, into PDF, HTML, editable PPTX, or PNG images. The skill handles custom themes, browser detection, and batch conversion, then reports output paths, file sizes, and conversion warnings.
中文简介正在准备中。当前显示英语简介。
- Exporting Marp slides as PDF handouts
- Creating HTML slides for browser viewing
- Converting slides into editable PPTX files
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Analyze time until events such as recovery or relapse using Python. Account for censored observations, where the event has not been observed, create survival curves, compare groups, and estimate risk factors with Cox regression.
中文简介正在准备中。当前显示英语简介。
- Analyzing time to death or disease progression in clinical trials
- Comparing survival curves across treatment groups
- Estimating risk factors with Cox regression
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Convert documents, images, audio, web pages, and structured data into Markdown for AI analysis. Preserve headings, lists, tables, and links, extract text through OCR or transcription, and process multiple files or ZIP archives together.
中文简介正在准备中。当前显示英语简介。
- Converting PDF and Office documents to Markdown
- Extracting text from images and audio
- Extracting web content and YouTube transcripts
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Review economic reports for methodological gaps, unsupported figures, and errors such as double counting. Produce a red, amber, and green scorecard with issues ranked by severity, using the relevant appraisal framework and proposing corrections when requested.
中文简介正在准备中。当前显示英语简介。
- Checking fiscal and macroeconomic briefings before submission
- Reviewing cost-benefit assumptions and double counting
- Auditing reports against a selected appraisal framework
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Turn a research proposal into a corporate finance study using data from the United States, Europe, Japan, or multiple countries. The workflow supports journal selection, Python analysis, statistical checks, and preparation of LaTeX tables and figures.
中文简介正在准备中。当前显示英语简介。
- Analyze policy effects on corporate investment and financing
- Select target journals for a research proposal
- Produce regression tables and validation figures
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Search academic papers, researchers, institutions, and journals through the OpenAlex CLI. Explore citations and related work, examine publication trends, export reference records, and download available open access PDFs, which are freely accessible papers.
中文简介正在准备中。当前显示英语简介。
- Finding papers on a research topic
- Exploring a researcher's publications
- Tracing citations and related papers
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Guide Claude Code to check files, documentation, data, and execution results before presenting answers. The skill sets verification steps for coding, analysis, and writing, including checking citations and numbers, diagnosing errors, and clearly stating what cannot be verified.
中文简介正在准备中。当前显示英语简介。
- Checking function names and arguments before coding
- Inspecting data columns and file paths before analysis
- Verifying row counts and missing values after joins
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Review difference-in-differences analyses, which compare changes across treated and comparison groups. It checks pre-policy trends, event-study charts, assumption violations, placebo tests, and robustness, then organizes findings and suggested revisions into a structured report.
中文简介正在准备中。当前显示英语简介。
- Planning checks before a DID analysis
- Reviewing a DID paper
- Checking your own empirical results
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Improve R code used in empirical economics by finding slow operations, reducing memory use, and optimizing data processing and regressions. It covers large panel datasets and repeated calculations, with checks that optimized code preserves the original results.
中文简介正在准备中。当前显示英语简介。
- Optimizing imports and summaries for large survey datasets
- Speeding up fixed-effects regressions on panel data
- Parallelizing Bootstrap and Monte Carlo calculations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Turn academic papers or written content into slide images, then combine them into PowerPoint and PDF files. The workflow extracts figures from PDFs and offers outline choices, visual styles, audience settings, and output languages.
中文简介正在准备中。当前显示英语简介。
- Create slides from an academic paper
- Reuse paper figures and tables in slides
- Prepare research slides for reading and sharing
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Draft research funding proposals for NSF, NIH, DOE, and DARPA using agency-specific structures and review criteria. Develop research aims, significance, innovation, methods, milestones, and budget justifications into a proposal aligned with the funding opportunity.
中文简介正在准备中。当前显示英语简介。
- Structure a proposal for a specific funding agency
- Draft research aims, significance, and innovation sections
- Align budgets and milestones with the research plan
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Build Python code for economic models and policy evaluation, with guidance on choosing libraries, estimating effects, plotting results, and checking robustness. Covers macroeconomic simulation and causal inference, the analysis of cause and effect.
中文简介正在准备中。当前显示英语简介。
- Implementing macroeconomic models in Python
- Estimating policy effects with difference-in-differences
- Checking assumptions and robustness in causal analysis
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.
中文简介正在准备中。当前显示英语简介。
- Estimating policy or intervention effects
- Comparing public health effect estimates
- Examining how effects differ across groups
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Edit drafts to remove predictable AI writing habits, including filler phrases, formulaic contrasts, vague claims, and repetitive sentence rhythms. Use concrete wording and active voice, then assess the prose across five review criteria.
中文简介正在准备中。当前显示英语简介。
- Editing AI-generated drafts
- Removing filler and formulaic phrasing
- Reviewing sentence rhythm and clarity
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Build reproducible empirical analyses in R, from data cleaning to statistical modeling and publication tables and figures. Covers economics, epidemiology, and machine learning approaches to causal inference, which estimates effects of interventions.
中文简介正在准备中。当前显示英语简介。
- Build a reproducible R or Quarto analysis workflow
- Compare regression models with progressively added controls
- Test robustness across samples and statistical methods
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Develop literature reviews on AI for medical imaging, including segmentation, detection, and classification. Organize research from multiple sources into a structured manuscript with method comparisons, evaluation metrics, supporting citations, and limitations.
中文简介正在准备中。当前显示英语简介。
- Drafting literature reviews on medical imaging AI
- Comparing methods for segmentation, detection, and classification
- Combining literature from ArXiv, PubMed, and Zotero
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Search multiple academic databases, screen studies, assess their quality, and combine findings by theme. Produce a literature review in Markdown and PDF, with checked citations and a documented search and selection process.
中文简介正在准备中。当前显示英语简介。
- Preparing a literature review for a thesis or paper
- Comparing findings across studies on one topic
- Identifying research gaps and future directions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Edit medical research manuscripts for clearer, more natural academic prose. Address inflated claims, vague wording, inconsistent terminology, and repetitive sentence patterns while preserving scientific meaning, supplied data, appropriate caution, and the author's established writing style.
中文简介正在准备中。当前显示英语简介。
- Revise formulaic wording in an English medical paper
- Clarify comparisons and logical links in dense prose
- Standardize terminology throughout a manuscript
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Plan how to introduce AI into economic research, teaching, or policy analysis. Identify suitable tasks, choose tools with privacy and licensing in mind, and design reproducible data workflows with output checks and ongoing model monitoring.
中文简介正在准备中。当前显示英语简介。
- Plan AI adoption for an economics research team
- Design data workflows that protect personal information
- Choose AI tools for teaching or policy analysis
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Build and evaluate Bayesian models with PyMC and ArviZ, from choosing initial assumptions to checking predictions. The workflow covers sampling diagnostics, model comparison, and reports that explain results with uncertainty intervals.
中文简介正在准备中。当前显示英语简介。
- Choose and check prior distributions
- Investigate sampling and convergence problems
- Compare hierarchical or regression models
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Search for academic papers, retrieve publication details from identifiers such as DOIs, and create BibTeX reference records. Check existing bibliographies for missing information, duplicate entries, invalid identifiers, and formatting problems before using them in research writing.
中文简介正在准备中。当前显示英语简介。
- Find papers on Google Scholar or PubMed
- Convert paper identifiers into BibTeX references
- Fill missing publication details
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Build causal inference analyses to estimate intervention effects using templates drawn from Causal Inference: The Mixtape. Adapt code across Python, R, and Stata, with checks for method assumptions and guidance on language-specific packages and limitations.
中文简介正在准备中。当前显示英语简介。
- Implement a difference-in-differences analysis
- Set up an event study and check parallel trends
- Build instrumental variable or discontinuity models
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Draft and review statistical manuscripts in LaTeX, a document preparation format. Turn outlines into sections, prepare abstracts and keywords, check references and structure, and draft reviewer reports, response letters, or a book manuscript framework.
中文简介正在准备中。当前显示英语简介。
- Drafting an abstract and keywords from a finished paper
- Expanding a section outline into LaTeX prose
- Checking manuscript structure and references
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新
Create figures for machine learning papers from text or experiment data. Uses Gemini for architecture diagrams and matplotlib/seaborn for numerical charts, choosing suitable layouts and chart types while preparing consistent styling, export files, and reusable generation scripts.
中文简介正在准备中。当前显示英语简介。
- Turning a methods section into an architecture diagram
- Charting model comparisons and ablation results
- Plotting training curves and confusion matrices
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47422026年10月20日 更新