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Analyze strategic interactions in markets, including firm entry, pricing, auctions, and bargaining. Guides equilibrium selection and computation, explains how to handle multiple possible outcomes, and helps assess whether data can identify the model's parameters.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing and computing an equilibrium
• Planning an analysis of firm entry or price competition
• Handling multiple equilibria in empirical models

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a completed research folder for archiving
• Organizing research files before sharing with collaborators
• Reviewing accumulated temporary files for removal

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a Chinese master's thesis review
• Matching review wording to an assigned score
• Turning thesis-specific issues into revision suggestions

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write and debug Stata .do files
• Clean and merge analysis datasets
• Implement regression and causal inference methods

Estimate effects by comparing observations just above and below an eligibility threshold using regression discontinuity design. Covers plots, comparison range selection, sharp and fuzzy designs, validity checks, and sensitivity analysis for reporting research findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimate a policy effect near an eligibility threshold
• Analyze treatment with imperfect compliance
• Check manipulation and covariate balance at a cutoff

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding Kaggle datasets and inspecting metadata
• Downloading public data into a chosen directory
• Discovering competitions, notebooks, and models

Plan, run, and interpret linear regression with guidance on model choices, diagnostic checks, and reporting. Python, R, and Stata examples help examine coefficients, assess assumptions, and choose standard errors that account for different error patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Specify a regression model for an empirical study
• Check residuals and correlations among explanatory variables
• Choose robust or clustered standard errors

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Organize Python and Stata research code using shared conventions for folders, filenames, data checks, logs, and outputs. Templates guide data cleaning, merging, regression analysis, and figure or table creation, with documentation for reproducing results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up folders and script order for a research project
• Standardizing Python data cleaning and merging scripts
• Preparing Stata regressions and output tables

Draft and revise economics paper abstracts around the research question, empirical approach, and specific findings. It helps allocate space to results, simplify language, and tighten the text to fit the target journal’s word limit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an abstract for an economics paper
• Shortening an abstract to a journal’s word limit
• Replacing vague findings with specific results

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Organize research code, datasets, and outputs with consistent folders and script names. Provides Python and Stata templates, processing stage numbers, and guidance for paths, logs, and documentation so collaborators can follow the workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up folders for a new research project
• Standardizing Python and Stata script names
• Separating raw, intermediate, and cleaned datasets

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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