10,188 skills found · Page 117 of 340
brycewang-stanford / readabilityCorrect grammar errors, typos, and improve academic readability in LaTeX, Markdown, or plain-text manuscripts. Scans the document once, then walks through every issue one-by-one asking for approval before applying each fix.
brycewang-stanford / Answering Research QuestionsMain orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize
brycewang-stanford / Checking ChEMBL for Structured SAR DataCheck if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data
brycewang-stanford / Evaluating Paper RelevanceTwo-stage paper screening - abstract scoring then deep dive for specific data extraction
brycewang-stanford / Subagent-Driven Literature ReviewUse parallel subagents for large-scale paper screening and deep dive analysis
brycewang-stanford / empirical-playbookThis skill covers applied microeconomic empirical methods and research design
brycewang-stanford / reproducible-pipelinesThis skill covers reproducible research pipelines and replication packages
brycewang-stanford / workflows:compoundDocument a recently solved research problem to compound methodological knowledge
brycewang-stanford / workflows:planTransform research descriptions into well-structured implementation plans following project conventions
brycewang-stanford / workflows:reviewRun multi-agent econometric review on estimation code, identification arguments, and research artifacts
brycewang-stanford / compiledeckCreate and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy
brycewang-stanford / data-analysisEnd-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures. Make sure to use this skill whenever the user wants to run any empirical analysis, write analysis code, or produce output from data.
brycewang-stanford / review-paperComprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections. Make sure to use this skill whenever the user wants substantive academic feedback on a paper — not just surface edits.
brycewang-stanford / assess-outlineAssesses a research paper outline (.qmd file) against structured criteria from Kosuke Imai''s empirical research guide. Evaluates the abstract and section outline for: research question clarity, stated contributions, hypotheses and testable implications, data description, planned results and inferen…
brycewang-stanford / lifelinesComplete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.
brycewang-stanford / data-cleaningClean and transform messy data for analysis in Python, R, or Stata
brycewang-stanford / marp-exportExport Marp slide markdown files to PDF (default), HTML, PPTX, or PNG. Handles theme loading, Chrome/Chromium detection for PDF export, and batch conversion.
brycewang-stanford / Cleaning Up Research SessionsSafely remove intermediate files from completed research sessions while preserving important data
brycewang-stanford / Finding Open Access PapersUse Unpaywall API to find free full-text versions of paywalled papers
brycewang-stanford / Searching Scientific LiteraturePubMed search with keyword optimization, result parsing, and metadata extraction
brycewang-stanford / Traversing Citation NetworksSmart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication
brycewang-stanford / bayesian-estimationThis skill covers Bayesian estimation and inference in quantitative social science
brycewang-stanford / workflows:brainstormExplore methodological approaches through structured analysis before planning implementation
brycewang-stanford / latex-to-quartoConverts LaTeX article-class .tex documents to Quarto .qmd format for multi-format publishing (HTML, PDF, Word)
brycewang-stanford / causal-inferenceProduction-grade Bayesian causal inference with PyMC, CausalPy, and DoWhy. Enforces DAG-first thinking, mandatory user checkpoints for assumptions, design-specific refutation, and defensible reporting with causal language guardrails.
brycewang-stanford / paper-styleRestructure an academic paper's title and section structure to match a target journal's house style. Asks the user to specify the target journal first, then adjusts main.tex accordingly (title wording and case, section skeleton, heading case, numbering scheme, merging/splitting sections).
brycewang-stanford / fletcherDefamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2
brycewang-stanford / new-projectStart a new research project by conducting a structured interview to formalize a research idea, then generates research questions with identification strategies and a project spec.
brycewang-stanford / review-paper-codeReview research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for social science / economics projects with LaTeX papers and Stata, R, or Python code.
brycewang-stanford / causal-inference-mixtapeThis skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write pa…
