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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.

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

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.

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• Summarizing a paper's methods and findings
• Comparing related studies in a table
• Identifying unanswered research questions

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

Prepare benefits and costs tables for a project before a cost-benefit analysis. Each item includes importance, sponsor cash flow, a measurement approach, and a monetary valuation method, using one of five supported appraisal frameworks.

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• Listing benefits and costs before project appraisal
• Organizing social benefits beyond cash flows
• Checking for double counting and sunk costs

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.

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• Drafting a financial economics research proposal
• Finding Chinese and international data sources
• Planning tests of causal effects

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

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

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.

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

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.

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

Compare project options by valuing costs and benefits over time. Report net present value, the value remaining after discounted costs, separately for society and the sponsor, alongside funding needs and tests of how assumptions affect results.

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• Comparing project options against doing nothing
• Assessing social value alongside sponsor cash flow
• Testing changes in cost and benefit assumptions

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.

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• Analyze policy effects on corporate investment and financing
• Select target journals for a research proposal
• Produce regression tables and validation figures

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

Convert existing Marp slides, written in Markdown, into PDF, HTML, editable PPTX, or PNG images. The skill handles custom themes, browser detection, and batch conversion, then reports output paths, file sizes, and conversion warnings.

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• Exporting Marp slides as PDF handouts
• Creating HTML slides for browser viewing
• Converting slides into editable PPTX files

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.

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

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.

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

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

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.

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• Checking an empirical economics paper before submission
• Independently reviewing a paper written with an agent
• Preparing to respond to reviewer comments

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

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.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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