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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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Plan robustness checks for finance and economics papers to assess whether findings hold under different samples, variable definitions, and modeling choices. Get method-specific checklists, test priorities, and a template for presenting results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing robustness checks before submitting a paper
• Choosing checks for difference-in-differences analysis
• Planning tests for instrumental variable estimates

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

Plan and implement instrumental variable estimation and propensity score matching, methods for estimating causal effects under different assumptions. Includes Python, R, and Stata examples, diagnostic checks, and guidance on interpreting and reporting results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose between instrumental variables and matching
• Implement two-stage least squares estimation
• Check weak instruments and estimation diagnostics

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

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a manuscript before journal submission
• Examine research methods and statistical validity
• Challenge core arguments and alternative explanations

Develop a research question, search and verify literature, combine findings, and produce a structured report. Seven modes cover guided research discussions, briefs, literature reviews, fact-checking, and systematic reviews, with statistical pooling of study results when appropriate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify a research topic through guided questions
• Build an annotated bibliography and synthesize findings
• Check claims against verified sources

Evaluate research papers and scientific claims by examining study design, statistics, bias, and evidence quality. Receive a structured critique of strengths, weaknesses, supported conclusions, and practical improvements, with uncertainty and limitations made explicit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a paper's methods and conclusions
• Assessing evidence quality across studies
• Checking scientific claims in media reports

Evaluate scientific manuscripts and grant proposals for sound methods, statistics, reproducibility, ethics, and clear reporting. Produce a structured review that separates major concerns from minor issues and gives authors specific, constructive suggestions for revision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a structured review of a scientific manuscript
• Evaluating methods and statistics in a grant proposal
• Checking reproducibility and reporting guidelines

Build and evaluate Bayesian models with PyMC and ArviZ, from choosing initial assumptions to checking predictions. The workflow covers sampling diagnostics, model comparison, and reports that explain results with uncertainty intervals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose and check prior distributions
• Investigate sampling and convergence problems
• Compare hierarchical or regression models

Draft research funding proposals for NSF, NIH, DOE, and DARPA using agency-specific structures and review criteria. Develop research aims, significance, innovation, methods, milestones, and budget justifications into a proposal aligned with the funding opportunity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Structure a proposal for a specific funding agency
• Draft research aims, significance, and innovation sections
• Align budgets and milestones with the research plan

Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating policy or intervention effects
• Comparing public health effect estimates
• Examining how effects differ across groups

Turn academic papers or written content into slide images, then combine them into PowerPoint and PDF files. The workflow extracts figures from PDFs and offers outline choices, visual styles, audience settings, and output languages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create slides from an academic paper
• Reuse paper figures and tables in slides
• Prepare research slides for reading and sharing

Check academic references in BibTeX files against CrossRef, Semantic Scholar, and OpenAlex. Flag missing papers, mismatched authors, and questionable metadata, then export results for manual review or automated manuscript checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking AI-assisted bibliographies
• Reviewing references before submission
• Auditing citations in literature reviews

Edit medical research manuscripts for clearer, more natural academic prose. Address inflated claims, vague wording, inconsistent terminology, and repetitive sentence patterns while preserving scientific meaning, supplied data, appropriate caution, and the author's established writing style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revise formulaic wording in an English medical paper
• Clarify comparisons and logical links in dense prose
• Standardize terminology throughout a manuscript

Draft and revise scientific manuscripts by organizing evidence into outlines, then developing connected paragraphs. Guides paper structure, citation formatting, figures and tables, and study-specific reporting requirements for research papers and journal submissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn research notes into manuscript paragraphs
• Organize a paper into standard research sections
• Align citations, figures, and reporting requirements

Write and debug Python regressions with PyFixest using a reference for model formulas, estimation functions, and standard errors. It also covers extracting results, comparing models, and producing regression tables and plots, including models that account for group differences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write fixed-effects regression code
• Check clustered standard error settings
• Compare models in tables and plots

Create figures for machine learning papers from text or experiment data. Uses Gemini for architecture diagrams and matplotlib/seaborn for numerical charts, choosing suitable layouts and chart types while preparing consistent styling, export files, and reusable generation scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a methods section into an architecture diagram
• Charting model comparisons and ablation results
• Plotting training curves and confusion matrices

Review English and Chinese empirical papers for formulaic language and claims that overstate the evidence. Supports revisions that preserve numbers and citations, checks bilingual consistency, and includes tools for inspecting invisible characters and file metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revising formulaic language in English or Chinese empirical papers
• Checking whether claims match tables and citations
• Aligning claims in Chinese text and an English abstract

Build a reproducible Stata analysis from data cleaning through modeling, diagnostic checks, and robustness tests. Generate runnable .do files, regression tables, and figures for empirical papers, with additional workflows for epidemiology and machine learning approaches to causal inference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a reproducible Stata analysis pipeline
• Comparing regression specifications in a paper table
• Checking causal estimates with robustness tests