Research, academic papers, education, and exam prep (4.4K skills)
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.
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.
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.
Create a literature review from a topic, journals, and publication period. Multiple agents search academic databases, collect available PDFs and citation records, organize findings by theme, and draft, review, revise, and compile a LaTeX document.
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.
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.
Clarify a research idea through guided questions, explore three unexpected angles, and develop a focused research question with testable variables and a theoretical explanation. The researcher chooses the direction and confirms the final topic.
Formats regression results as LaTeX tables for economics papers, with standard errors, significance stars, fixed-effect labels, and statistical notes. Provides templates and guidance for converting Stata, Python, or R output into main-text and appendix tables.
Find arXiv papers by topic, author, category, or ID and retrieve abstracts and publication details. Create BibTeX citation entries, then use Semantic Scholar to explore citation counts, references, related papers, and author profiles.
Analyze academic papers by organizing research questions, data, methods, findings, and limitations. Compare studies in a table, identify unanswered questions, and document how each paper relates to a research project, with BibTeX reference entries.
Turn a research proposal on Chinese corporate finance into a structured empirical project. The workflow recommends target journals, guides Python data preparation and statistical analysis, and produces code, LaTeX tables, and figures while recording changes to the analysis plan.
Plan robustness checks for finance and economics papers to assess whether findings hold under different samples, variable definitions, and modeling choices. Get method-specific checklists, test priorities, and a template for presenting results.
Check an academic paper’s tables, numerical claims, and modeling choices against R scripts and outputs. Produce discrepancy reports, a record linking claims to code, and automated tests that rerun the analysis.
Analyze interviews, focus groups, and open-ended survey responses using Braun and Clarke's six-phase framework. Label meaningful passages, develop and review themes, and produce an academic Word report with an annotated map showing theme relationships.
Collect recent papers from leading economics, finance, and accounting journals, then select those relevant to corporate finance. Produces a Chinese research digest and topic suggestions with proposed data and methods, while tracking papers to avoid repeats.
Compile a macroeconomic briefing for the UK, US, euro area, or Australia using official data. Summarize key indicators with green, amber, or red assessments, source citations, and publication dates, with options for selected topics and output formats.
Develop empirical corporate finance research topics from journal articles, SSRN working papers, and university seminars. Generate candidate titles, build proposals, and check originality, saving full proposal and novelty reports only for ideas scoring at least nine out of ten.
Turn a financial economics research idea into a structured, 12-part empirical proposal. It outlines hypotheses, matching data sources, methods for testing causal effects, illustrative results tables, and robustness checks, while examining the study’s contribution.
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.
Review empirical economics papers using criteria modeled on leading journals. Examine causal reasoning, theoretical explanations, regression tables, figures, robustness, and contributions to prior research, then organize potential flaws by severity with concrete suggestions for revision.
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.
Check citations in papers and literature notes against specific pages in original PDFs. Distinguish exact quotations from paraphrases, flag unverified references, and produce a structured report showing evidence locations and recommended follow-up.
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.
Evaluate papers, research proposals, and literature reviews using structured criteria. Produces evidence-based feedback on research questions, methods, data, analysis, and writing, with optional scores and prioritized recommendations tailored to the work's stage and purpose.