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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.

中文简介正在准备中。当前显示英语简介。

• Plan empirical research using Chinese firm or city data
• Compare target journals for a research proposal
• Run policy effect and robustness analyses in Python

Edit Chinese text to remove stiff translation patterns, repetitive AI-style phrases, and unnecessary filler. Apply consistent spacing around English and numbers, appropriate punctuation, and spacing after bold Chinese text.

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• Revising Chinese text that sounds translated
• Removing repetitive AI-style phrasing
• Standardizing mixed Chinese and English formatting

Draft economics papers with section outlines, paragraph plans, and original prose for abstracts, introductions, results, and more. Checks help align causal wording with the research design and keep missing evidence clearly marked.

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• Drafting an economics paper's abstract and introduction
• Explaining regression results in prose
• Writing data and identification sections

Prepare survey and administrative datasets for analysis with Python, R, or Stata. Generate cleaning code to handle missing values, duplicates, outliers, and derived variables, with documented transformations and integrity checks that support reproducible research.

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• Clean missing values, duplicates, and outliers in survey data
• Merge multiple data sources for analysis
• Prepare panel datasets that track units over time

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.

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• Optimizing imports and summaries for large survey datasets
• Speeding up fixed-effects regressions on panel data
• Parallelizing Bootstrap and Monte Carlo calculations

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.

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• Finding papers on a research topic
• Exploring a researcher's publications
• Tracing citations and related papers

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.

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• Planning checks before a DID analysis
• Reviewing a DID paper
• Checking your own empirical results

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.

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• Checking function names and arguments before coding
• Inspecting data columns and file paths before analysis
• Verifying row counts and missing values after joins

Evaluate policy effects with difference-in-differences, a method comparing changes in treated and untreated groups. Guides assumption checks, regression models, staggered adoption analysis, robustness checks, and reporting with event study plots.

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• Evaluating policy effects with comparison groups
• Checking outcome trends before treatment
• Analyzing policies adopted at different times

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.

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• Narrowing a broad research interest
• Turning an initial idea into a research question
• Examining a topic's originality

Create a compact public finances briefing for the UK, US, or Australia using official data. Cover deficits, debt, taxes, spending, and fiscal rules, with dated sources, selected sections, multiple export formats, and optional debt sustainability analysis.

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• Preparing a country briefing on public finances
• Reviewing tax receipts and spending against forecasts
• Checking fiscal rules and the medium-term outlook

Clean survey datasets using their codebooks, which explain variables and response codes. Check missing values and outliers, harmonize variables across years, and prepare combined data with a cleaning report, variable definitions, and recorded transformation history.

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• Checking newly downloaded survey data
• Harmonizing variables across survey years
• Preparing panel data for research

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.

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• Checking citations in a paper draft
• Auditing references after a literature review
• Reviewing citation quality before submission

Automate website tasks through a command-line browser tool. Agents can navigate pages, fill forms, extract text, capture screenshots, and test web apps, with saved login state available for later sessions.

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• Automating form entry and submission
• Extracting text from web pages
• Saving screenshots and page PDFs

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.

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• Prepare economic background for a meeting
• Monitor inflation or labour market developments
• Compare economic indicators across countries

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.

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• Checking table values against R outputs
• Tracing numerical claims to supporting results
• Reviewing sample sizes and model specifications

Create Chinese academic presentation slides with Beamer, a LaTeX slide system, using a fixed CUFE template. Organizes research arguments, tables, and figures, with spacing and slide-splitting rules to address overflow, and supports updating existing decks.

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• Preparing Chinese slides for a thesis defense
• Building slides for a Chinese academic conference
• Fixing text and table overflow

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.

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• Find recent papers on a research topic
• Look up papers by author or arXiv ID
• Explore citations and related research

Document datasets so others can understand and reproduce an analysis. Create variable definitions, source records, sample filtering tables, and merge documentation, or assemble a codebook describing how the data was constructed.

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• Prepare dataset documentation for replication materials
• Explain variables and construction steps to co-authors
• Record merge keys and matching rates

Draft or revise introductions for economics papers using a clear sequence: motivation, research question, empirical approach, findings, and contribution to existing literature. A checklist helps identify vague claims, missing results, misplaced literature discussion, and excessive length.

中文简介正在准备中。当前显示英语简介。

• Draft an introduction for an economics paper
• Improve the opening motivation and research question
• Reorder findings and discussion of related literature

Analyze whether an intervention causes an outcome using DoWhy in Python. Build a graph of causal assumptions, determine whether the effect can be estimated, compare estimates, and test how well results withstand changes to assumptions or data.

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• Estimating an advertising campaign’s causal effect on sales
• Analyzing observational data with confounding factors
• Testing how robust a causal estimate is

Analyze changes before and after an intervention in R, estimate how effects develop over time, and plot results. Choose methods suited to different adoption dates and check assumptions behind comparisons between treated and untreated groups.

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• Plotting effects before and after a policy starts
• Checking whether groups followed similar trends before treatment
• Comparing methods when treatment starts at different times

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.

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• Following new corporate finance research
• Creating a weekly Chinese literature digest
• Developing research topics from recent papers

Generate Python code to retrieve economic indicators and financial prices from sources including FRED, World Bank, BLS, OECD, IMF, and Yahoo Finance. Scripts include data cleaning, indicator documentation, and error handling for reusable datasets and updates.

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• Downloading GDP, unemployment, and inflation data
• Building datasets across countries and sources
• Automating updates for ongoing research