brycewang-stanford/Auto-Empirical-Research-Skills: 1172 Agent Skills
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
| Repository | brycewang-stanford/Auto-Empirical-Research-Skills · website |
|---|---|
| GitHub stars | 4,540 |
| Skills | 1172 (the first 80 are listed below) |
| Category | Research and science |
| Last updated | Oct 5, 2026 |
| Install counts | brycewang-stanford/Auto-Empirical-Research-Skills on skills.sh, Vercel's skills directory, which shows installs and security audits per skill |
Install brycewang-stanford/Auto-Empirical-Research-Skills
| All skills, any agent | npx skills add brycewang-stanford/Auto-Empirical-Research-Skills |
|---|---|
| One skill | npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill auto-empirical-research-skills |
| Only for Claude Code | npx skills add brycewang-stanford/Auto-Empirical-Research-Skills -a claude-code, or copy a skill folder to ~/.claude/skills/ (all projects) or .claude/skills/ (one project) |
npx skills is the open-source skills CLI; it asks which agents to install for. Skills can include scripts that your agent will run: read a skill before installing it, as you would any code.
Skills in brycewang-stanford/Auto-Empirical-Research-Skills
| Skill | What it does |
|---|---|
| auto-empirical-research-skills | Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data… |
| Full-empirical-analysis-skill | Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces… |
| Full-empirical-analysis-skill-R | Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt +… |
| Full-empirical-analysis-skill-Stata | Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter.… |
| StatsPAI_skill | Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study… |
| Full-empirical-analysis-skill | Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces… |
| Full-empirical-analysis-skill-Stata | Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter.… |
| Full-empirical-analysis-skill-R | Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt +… |
| academic-paper-composer | Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4)… |
| academic-paper-strategist | Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized… |
| medical-imaging-review | Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper",… |
| paper-slide-deck | Generate professional slide deck images from academic papers and content. Creates comprehensive outlines with style instructions, auto-detects figures from PDFs, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", or "slide deck"… |
| research-proposal | Generate academic research proposals for PhD applications. Use when user asks to "write a research proposal", "create PhD proposal", "generate research plan", "撰写研究计划", "写博士申请", "doctoral proposal", or mentions specific research topics for PhD application. Supports STEM, humanities, and social… |
| hypothesis-generation | Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use… |
| 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 comprehensive literature searches across… |
| research-grants | Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. |
| scientific-writing | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver),… |
| citation-management | Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to… |
| hypothesis-generation | Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains. |
| 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 comprehensive literature searches across… |
| peer-review | Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines. |
| research-grants | Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. |
| scholar-evaluation | Apply the ScholarEval framework to systematically evaluate scholarly work across quality dimensions (novelty, rigor, significance, and clarity). Use to critique academic papers, research proposals, literature reviews, or grant applications and produce a structured, criterion-based assessment. |
| scientific-critical-thinking | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. |
| scientific-writing | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver),… |
| Getting Started with Research Superpowers | Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal |
| Answering Research Questions | Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize |
| Building Paper Screening Rubrics | Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback |
| Checking ChEMBL for Structured SAR Data | Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data |
| Cleaning Up Research Sessions | Safely remove intermediate files from completed research sessions while preserving important data |
| Evaluating Paper Relevance | Two-stage paper screening - abstract scoring then deep dive for specific data extraction |
| Finding Open Access Papers | Use Unpaywall API to find free full-text versions of paywalled papers |
| Searching Scientific Literature | PubMed search with keyword optimization, result parsing, and metadata extraction |
| Subagent-Driven Literature Review | Use parallel subagents for large-scale paper screening and deep dive analysis |
| Traversing Citation Networks | Smart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication |
| stat-writing | End-to-end statistical writing assistant for LaTeX - draft title/abstract/keywords, expand outlines into sections, audit manuscripts, write reviewer reports and response letters, and scaffold book manuscripts. |
| academic-plotting | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures… |
| autoresearch | Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for… |
| 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 templates, reviewer guidelines, and… |
| 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 posters, formal letters, exams/quizzes,… |
| python-panel-data | Panel data analysis with Python using linearmodels and pandas. |
| r-econometrics | Run IV, DiD, and RDD analyses in R with proper diagnostics |
| stata-regression | Run regression analyses in Stata with publication-ready output tables. |
| beamer-presentation | Create academic presentations in Beamer with professional themes |
| econ-visualization | Create publication-quality charts and graphs for economics papers. |
| api-data-fetcher | Fetch economic data from FRED, World Bank, and other APIs |
| stata-data-cleaning | Clean and transform messy data in Stata with reproducible workflows |
| code-simplifier | Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency. |
| commit-push-pr | Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review. |
| 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 tasks, or check spec status. Trigger on… |
| 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. |
| research-ideation | Generate research questions from economic phenomena |
| lit-review-assistant | Search, summarize, and synthesize economics literature |
| general-equilibrium-model-builder | Build and solve Walrasian general equilibrium models with theory derivations and Julia computation |
| latex-econ-model | Write and typeset economic models in LaTeX with proper notation |
| academic-paper-writer | Draft economics papers with proper structure and academic style |
| latex-tables | Generate publication-ready regression tables in LaTeX. |
| 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", "implement propensity score matching", "write… |
| 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 models, and small-sample settings where… |
| 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, regression discontinuity, synthetic… |
| 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 regression models, cross-fitting,… |
| 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 "which method", "what estimator", "how… |
| estimate | Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook |
| game-theory | This skill covers game-theoretic methods in structural econometrics and industrial organization. Use when the user is working with strategic interactions, equilibrium analysis, or game-theoretic structural models — including entry games, conduct testing, auction models with strategic bidding,… |
| identification-proofs | This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or… |
| lfg | Full autonomous research workflow — brainstorm, plan, implement, review, and document |
| publication-output | This skill covers publication-quality tables and figures for academic research papers. Use when formatting regression results, summary statistics, Monte Carlo output, or research visualizations for LaTeX inclusion. Triggers on "table", "figure", "tabulate", "stargazer", "publication-ready", "LaTeX… |
| replicate | Build and verify replication packages — routes to reproducibility-auditor agent |
| reproducible-pipelines | This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or… |
| slfg | Full autonomous research workflow using swarm mode for parallel execution |
| structural-modeling | This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations.… |
| submission-guide | This skill covers academic journal submission, referee responses, and revision management. Use when the user is preparing a manuscript for submission, formatting for a specific journal, responding to referees, or managing revisions. Triggers on "submit", "referee", "revision", "R&R", "response… |
| workflows:brainstorm | Explore methodological approaches through structured analysis before planning implementation |
| workflows:compound | Document a recently solved research problem to compound methodological knowledge |
| workflows:ideate | Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest |
| workflows:plan | Transform research descriptions into well-structured implementation plans following project conventions |
| workflows:review | Run multi-agent econometric review on estimation code, identification arguments, and research artifacts |
| workflows:work | Execute research implementation plans efficiently while maintaining estimation quality and finishing features |
| commit | Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle. |
| compile-latex | Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides. |
Names and descriptions come from each skill's SKILL.md and are written by the pack's authors.
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