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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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