Find NBER working papers, research papers shared before formal publication, by keyword or research program. Retrieve recent papers, authors, dates, and citation details, and access US business cycle dates and links to economic datasets.
Guide economic time series analysis from initial plots to forecasting. Use Python, R, and Stata examples to check whether statistical properties remain stable over time, choose models, diagnose errors, and examine relationships between multiple series.
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.
Develop Bayesian models for quantitative social science, from choosing priors to reporting posterior results. Guide MCMC, a sampling method for estimating distributions, check convergence, and assess sensitivity for hierarchical models and small datasets.
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.
Find related research by following a paper's references and the later papers that cite it through Semantic Scholar. Filters prioritize relevant candidates, avoid duplicate reviews, and record citation relationships for a focused literature search.
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.
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.
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.
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.
Check whether medicinal chemistry papers are indexed in ChEMBL, a curated database of biological activity measurements. Look up papers by DOI, report available data counts, and retrieve structured measurements before extracting tables from PDFs.
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.
Search Kaggle datasets, competitions, notebooks, and models through its official command-line tool. Download public data into a chosen directory and preserve audit records and file hashes, identifiers used to check downloaded files.
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.
Find legally available free versions of academic papers using a DOI, a unique paper identifier. Check full-text and PDF locations, open access status, available versions, and license information for individual papers or reading lists.
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.
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.
Research online topics by dividing questions among delegated agents, each handling a separate subtopic. Saves the plan and findings, then combines multiple web sources into a cited response that identifies gaps and limitations.
Choose and interpret models for panel data, which tracks the same firms, people, or countries over time. Use Python, R, or Stata examples to compare fixed and random effects, check assumptions, and select standard errors.
Search the web, extract page content, and interact with sites that require login or dynamic loading. The skill selects suitable access methods and can use an existing Chrome session to navigate pages, fill forms, and read content.
Turn regression results and summary statistics from Stata, R, or Python into LaTeX tables for academic papers. Format model comparisons, decimal places, statistical significance markers, and notes, with guidance for wide tables and inclusion in a paper.
Write, debug, and understand Stata code for data cleaning, statistical analysis, causal inference, and charts. The reference covers command syntax, common pitfalls, Mata programming, and community packages for estimation and reporting.
Turn a recurring workflow into an agent skill, or improve an existing one. Draft instructions, compare test outputs against a baseline, review quality and resource usage, and refine the description that determines when the skill is invoked.
Generate a Stata .do file that compares every subset of optional control variables across parallel instances. The script ranks combinations by the focal variable’s absolute t-statistic, reports the top ten, and fits the highest-ranked model.
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