1,133 skills found · Page 12 of 38
kajisho5 / building-python-mcp-serversBuilds robust Python MCP (Model Context Protocol) servers with FastMCP — tool design, error contracts, event-loop-safe blocking work, subprocess/CLI wrapping, single-file vs packaged distribution, global-state-free testing, and prompt-injection awareness
kajisho5 / ci-pipeline-synthesizerGenerate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects
kajisho5 / managing-python-releasesManages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows
brycewang-stanford / python-econ-computingUse when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
brycewang-stanford / pyfixest-referenceDense, machine-readable API reference for PyFixest — high-dimensional fixed-effects OLS/WLS/IV and Poisson (feols, fepois, feglm), clustered/robust standard errors, R-style formula syntax, and post-estimation
brycewang-stanford / markitdownConvert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing
brycewang-stanford / coding-guidelinesStandardized Python & Stata coding practices for empirical research projects
brycewang-stanford / data-fetcherFetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance
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 / check-citationsVerify academic citations against CrossRef, Semantic Scholar, and OpenAlex. Detects AI-hallucinated references, chimeric citations, and suspicious patterns.
brycewang-stanford / project-structureProject directory organization and script naming conventions for research
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 / 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…
brycewang-stanford / marginaleffectsManual for the marginaleffects R and Python package, and guide to the book "Model to Meaning"
brycewang-stanford / latex-tableLaTeX回归表格生成Skill。辅助生成符合AER/QJE等顶刊格式的三线表，包括标准误聚类标注、显著性星标、固定效应标注。触发词：LaTeX表格/回归表/三线表/table制作/latex table
brycewang-stanford / stat-writingEnd-to-end statistical writing assistant for LaTeX - draft title/abstract/keywords, expand outlines into sections, audit manuscripts, write reviewer reports and response letters, and scaffold book manuscripts.
brycewang-stanford / referee2Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines
brycewang-stanford / StatsPAI_skillUse when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study fig…
brycewang-stanford / Full-empirical-analysis-skillClassical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn.
brycewang-stanford / China-CF-Study根据研究者提供的**研究计划书（Research Proposal）**执行基于中国制度环境的公司金融类实证研究全流程。**启动后第一件事：根据计划书的主题、识别策略、贡献边际与样本范围，从中国-context 英文顶级期刊池（JF/JFE/RFS/JFQA/MS/JCF/JBF/JAR/JAE/TAR/CAR/JIBS/China Economic Review/PBFJ 等 25+ 期刊）中推荐 5 本最匹配的目标期刊（[J1]–[J5]），等待研究者明确选定一本；该期刊决定 main.tex 的 bibliographystyle、Section 骨架、Introduction 风格与表…
brycewang-stanford / Foreign-CF-Study根据研究者提供的**研究计划书（Research Proposal）**执行基于**外国（美国/欧盟/英国/日本/跨国）制度环境**的公司金融类实证研究全流程。**启动后第一件事：根据计划书的主题、识别策略、贡献边际与样本范围，从外国 CF 顶刊池（AER/QJE/JPE/JF/JFE/RFS/JFQA/JAR/JAE/MS/JCF/JBF 等 25+ 期刊）中推荐 5 本最匹配的目标期刊（[J1]–[J5]），等待研究者明确选定一本；该期刊决定 main.tex 的 bibliographystyle、Section 骨架、Introduction 风格与表注规范**。然后用 Python…
brycewang-stanford / split-pdfDownload, split, and deeply read academic PDFs
jordan-gibbs / deep-researchDeep research with hyperresearch, for Claude Code and OpenAI Codex
zLanqing / pymatgenMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
zLanqing / pymooMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
zLanqing / seabornStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib.
zLanqing / simpyProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared r…
