Turn regression results, summary statistics, and simulation output into tables and figures for academic papers. Apply consistent number formatting, labels, and accessible visual styles, then produce files ready to include in LaTeX documents.
- Format regression results as LaTeX tables
- Compare simulation results in a table
- Plot estimates before and after an intervention
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Turn research ideas into a coordinated program with clear questions, data needs, methods, team roles, and publication plans. Connect academic papers with policy and public-facing outputs while considering feasibility, data availability, and long-term institutional activities.
- Design a multi-year research program
- Turn research ideas into defined projects
- Plan roles for student research teams
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Carry a research task from brainstorming and planning through code implementation, review, and documentation. Multiple agents handle independent implementation tasks in parallel, then report the resulting files, changes, and findings.
- Take a research task from initial ideas through implementation
- Split independent implementation tasks among multiple agents
- Run review and knowledge documentation after implementation
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Check citations in LaTeX and Quarto manuscripts against a bibliography file. Find missing references, unused entries, and likely citation key typos, then flag incomplete fields, author formatting problems, and character encoding issues.
- Investigating undefined citation errors
- Checking bibliography completeness after adding references
- Finding unused bibliography entries
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Run a research task through five ordered stages: brainstorming, planning, implementation, review, and documentation. The workflow checks that brainstorming and planning files exist before proceeding, then reviews and documents what the implementation stage produced.
- Taking a research task from initial ideas to documentation
- Planning and implementing an estimation problem
- Working through a methodological improvement
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Review econometric code, proofs, data workflows, and outputs with multiple specialist agents. Assess identification—the assumptions that let data establish an effect—alongside estimation, numerical stability, and reproducibility, then consolidate findings into prioritized tasks.
- Checking estimation code and standard errors
- Examining assumptions behind identification arguments
- Reviewing proofs and derivations before submission
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Build and check research replication packages so a project's results can be reproduced. Routes checks to a dedicated agent that examines seeds, versions, file paths, workflow integrity, data documentation, execution environments, and matching outputs.
- Preparing a research replication package
- Checking seeds, versions, and file paths
- Verifying reproduced outputs against expected results
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Coordinate multiple helper agents to screen large paper collections, extract detailed findings, and explore citations. Consolidate structured results into review records and summaries, while checking coverage, duplicate entries, and consistency in relevance scoring.
- Screening more than 50 papers for relevance
- Extracting methods and findings from priority papers
- Exploring papers that cite or are cited by a key study
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Develop identification arguments in econometrics: establish whether observed data uniquely determine a target parameter, state assumptions and rank conditions, and write formal propositions. When uniqueness fails, characterize the range of parameter values consistent with the data.
- Writing an identification proposition for a paper
- Checking assumptions for IV, DiD, or RDD
- Examining rank conditions for moment equations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Audit references in a LaTeX manuscript by checking whether papers exist, bibliographic details are accurate, and cited findings support each claim. Produce a structured report with suggested corrections, then review and apply edits with a change log.
- Checking references before submitting a LaTeX paper
- Checking whether cited papers support manuscript claims
- Finding incorrect bibliographic details and uncited entries
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Check a research idea against recent literature and closely related papers. Receive a structured comparison of overlapping claims, distinct contributions, and risks, with separate assessments of originality and whether causal effects can be credibly established.
- Checking originality before implementing a research idea
- Comparing an idea with its closest prior work
- Separating originality from causal evidence quality
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Generate a Chinese master's thesis review from the full thesis and a user-provided score. Produce an academic evaluation plus specific shortcomings and revision suggestions, with tone and criticism adjusted to the supplied score.
- Drafting a Chinese master's thesis review
- Matching review wording to an assigned score
- Turning thesis-specific issues into revision suggestions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Draft an English referee report for an economics or finance paper, with a findings summary, specific numbered critiques, and a letter to the editor. Choose the recommendation, review depth, and three to eight comments.
- Drafting a referee report for an economics or finance paper
- Examining causal claims and robustness of research findings
- Choosing review depth and the number of comments
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Search academic sources for papers on a topic, retrieve publication details, and find available PDFs. The skill guides source selection, combines results across services, and removes duplicates using DOIs, unique identifiers assigned to papers.
- Search multiple sources for papers on a topic
- Find economics and social science working papers
- Retrieve publication details from a DOI
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Choose methods for causal research in applied microeconomics by examining how treatment varies. Compare assumptions, plan diagnostic checks, assess statistical power—the ability to detect effects—and organize a defensible empirical strategy.
- Choose a causal method for the available data and setting
- Check assumptions and diagnostics for an empirical strategy
- Plan sample size and the smallest detectable effect
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Find legally available free versions of paywalled papers using a DOI, the paper's identifier. Unpaywall provides access links and manuscript versions, helping retrieve PDFs and record where each accessible copy came from.
- Find free full text after reaching a paywall
- Find papers unavailable in PubMed Central
- Compare published, accepted, and preprint versions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Build and test scoring criteria for selecting relevant research papers. Refine the rules against your judgments, screen large sets of abstracts, and reassess saved papers when criteria change, with records of scores and revisions.
- Define relevance criteria before a large literature search
- Investigate papers incorrectly included or excluded
- Reassess saved abstracts after changing screening criteria
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Clean up completed research folders by identifying temporary and intermediate files for confirmed removal. Preserve papers, final findings, screening history, and methodology records, then check that essential files remain intact and report the space recovered.
- Preparing a completed research folder for archiving
- Organizing research files before sharing with collaborators
- Reviewing accumulated temporary files for removal
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Investigate research questions by searching PubMed, assessing paper relevance, and following references and citing papers. Extract specific data and findings into an organized summary, with search methods, citation links, and screening records for later review.
- Find published data for a research question
- Start a literature review
- Expand a search through citation links
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Analyze empirical economics PDFs through five questions covering the research problem, causal identification, target effect, robustness, and contribution. Receive a structured Chinese report and a practical checklist of research methods to adapt to other studies.
- Reading an empirical economics paper systematically
- Understanding how a paper identifies causal effects
- Examining robustness checks and research limitations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Find scientific papers in PubMed by turning a research question into targeted search terms and synonyms. Collect titles, authors, abstracts, and identifiers into a structured paper list ready for relevance evaluation.
- Finding an initial paper set for a research question
- Searching for methods, compounds, or diseases
- Filtering papers by date, journal, or author
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Evaluate a paper’s novelty through related literature searches, match it to suitable fields and ABS journal rating levels, and recommend 20 submission targets. Produce a PDF report with journal details, selection reasons, and submission advice.
- Comparing a paper’s novelty with related literature
- Choosing suitable journal fields and ABS rating levels
- Comparing 20 submission targets and backup journals
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Choose AI tools for literature searches, PDF conversion, citation-backed questions, and review writing. The skill also installs and runs supported tools through a shared launcher, with workflows that connect paper retrieval, conversion, and analysis.
- Choosing tools for a literature review
- Converting research PDFs to Markdown
- Asking citation-backed questions across PDFs
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Screen search results by scoring paper abstracts, then examine promising papers for specific measurements, methods, or datasets. Record findings and review history so you can identify useful evidence and avoid checking the same papers again.
- Screening literature search results for specific data
- Extracting experimental methods and measurements
- Finding datasets and code mentioned in papers
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026