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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.

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

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.

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

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

Coordinate complex tasks across multiple agents through planning, execution, review, and revision. Agents save their work to local files and return status summaries, helping the main agent manage limited context while delivering the final result.

• Breaking a complex task into coordinated agent assignments
• Running independent subtasks in parallel
• Reviewing results and revising them from feedback

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.

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

Convert straight quotation marks in Chinese text into directional opening and closing quotes. Handle nested quotations while preserving code and English apostrophes by default, with options to preview changes or save the converted file.

• Standardize quotation marks in Chinese drafts
• Convert quotes while preserving Markdown code
• Format nested quotations

Convert documents, images, audio, web pages, and structured data into Markdown for AI analysis. Preserve headings, lists, tables, and links, extract text through OCR or transcription, and process multiple files or ZIP archives together.

• Converting PDF and Office documents to Markdown
• Extracting text from images and audio
• Extracting web content and YouTube transcripts

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.

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

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.

• Exploring empirical corporate finance topics
• Finding gaps in published and ongoing research
• Generating and screening multiple research proposals

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.

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

Research an industry or product and produce a report with cited sources covering market size, competitors, regulation, supply chains, and pricing. Compare supported regions side by side and assess how concentrated competition is.

• Researching market size and growth
• Comparing competitors and market concentration
• Comparing regulation and supply chains across regions

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.

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

Turn recurring Claude Code tasks into reusable slash commands stored as Markdown files. Guides command structure, arguments, file references, tool permissions, shell execution, and plugin integration, with examples for reviews, testing, documentation, and input validation.

• Turning repeated reviews into reusable commands
• Creating commands that accept file paths or issue numbers
• Sharing standard workflows across a project team

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.

• Identifying themes across interview transcripts
• Analyzing open-ended survey responses
• Choosing an approach before coding qualitative data

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.

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

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.

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

Generate code for economics paper figures, including event studies that show effects over time and coefficient comparisons. Adjust fonts, colors, dimensions, and export settings, with consistent file naming for use in manuscripts.

• Plot treatment effects over time with confidence intervals
• Compare coefficient estimates across models
• Standardize figure formatting for a journal submission

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.

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

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.

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

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.

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

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.

• Converting Stata, Python, or R results into LaTeX tables
• Comparing baseline and fixed-effects regression models
• Preparing tables for instrumental-variable estimates

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.

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

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.

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

Draft, revise, and review economics papers, from abstracts and introductions to results and conclusions. Guidance adapts to empirical, theoretical, and structural research, helping authors present their central contribution, concrete findings, and economic reasoning clearly.

• Drafting an economics paper introduction
• Revising an abstract around concrete findings
• Explaining a model and its economic mechanism