Edit English academic papers for international journal submission through three passes covering grammar, readability, and academic precision. Receive polished text and explanations of major changes while preserving the author's substantive arguments and conclusions.
Coordinate research, drafting, citation and data verification, AI review, revision, and final formatting through connected skills. Start from a research topic, an existing manuscript, or reviewer comments, with progress tracking and user checkpoints.
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.
Draft and check a systematic literature review using PRISMA 2020, a reporting guideline for transparent reviews. Organize methods and findings into a Word manuscript, create a study selection flow diagram, and format references in APA 7th Edition style.
Proofread applied microeconomics manuscripts across prose, equations, tables, notes, and references. The workflow combines specialized reviews into a prioritized report with exact locations, suggested corrections, consistency checks, and items requiring author verification.
Edit prose to remove formulaic AI phrasing, vague claims, inflated language, and repetitive structures. Apply context-appropriate tone to scientific papers, blog posts, and workplace documents, with review scores covering directness, rhythm, authenticity, and concision.
Navigate a structured literature review workflow in Claude Code, from finding and screening papers to extracting results and following citations. Learn which related skills to use and how to organize findings, PDFs, and duplicate tracking.
Develop a literature review from a focused research question through search planning, source evaluation, organization, and writing. It helps compare findings across papers, identify disagreements and research gaps, and build an outline with practical writing templates.
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.
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.
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.
Plan how to introduce AI into economic research, teaching, or policy analysis. Identify suitable tasks, choose tools with privacy and licensing in mind, and design reproducible data workflows with output checks and ongoing model monitoring.
Build causal inference analyses to estimate intervention effects using templates drawn from Causal Inference: The Mixtape. Adapt code across Python, R, and Stata, with checks for method assumptions and guidance on language-specific packages and limitations.
Draft and review statistical manuscripts in LaTeX, a document preparation format. Turn outlines into sections, prepare abstracts and keywords, check references and structure, and draft reviewer reports, response letters, or a book manuscript framework.
Search for academic papers, retrieve publication details from identifiers such as DOIs, and create BibTeX reference records. Check existing bibliographies for missing information, duplicate entries, invalid identifiers, and formatting problems before using them in research writing.
Edit drafts to remove predictable AI writing habits, including filler phrases, formulaic contrasts, vague claims, and repetitive sentence rhythms. Use concrete wording and active voice, then assess the prose across five review criteria.
Build Python code for economic models and policy evaluation, with guidance on choosing libraries, estimating effects, plotting results, and checking robustness. Covers macroeconomic simulation and causal inference, the analysis of cause and effect.
Turn observations or preliminary data into competing scientific hypotheses grounded in literature. It compares explanations, evaluates how they could be tested or disproved, and proposes experiments and measurable predictions in a structured report with diagrams.
Estimate how an intervention affects outcomes using Bayesian causal analysis. The workflow confirms causal assumptions with the user, selects a suitable method, checks whether findings withstand challenges, and reports effects with uncertainty and limitations.
Interpret statistical models in R and Python using predictions, comparisons, and marginal effects, which describe how outcomes change with predictors. Get guidance on choosing quantities, evaluating scenarios, summarizing groups, measuring uncertainty, and testing hypotheses.
Develop scientific manuscripts from literature-backed outlines into connected paragraphs. Organize introductions, methods, results, and discussions; integrate citations and figures; and adapt the manuscript to study reporting guidelines and the target journal’s requirements.
Turn observations or preliminary data into competing scientific hypotheses grounded in literature. Develop explanations, assess what could disprove them, and produce testable predictions and experimental designs in a structured report with diagrams.
Develop literature reviews on AI for medical imaging, including segmentation, detection, and classification. Organize research from multiple sources into a structured manuscript with method comparisons, evaluation metrics, supporting citations, and limitations.
Turn a detailed outline into a philosophy or interdisciplinary manuscript. Draft chapters with repeated quality reviews, check terminology and arguments across sections, and prepare the manuscript, evaluation reports, abstract, and metadata for submission.
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