12,196 skills found · Page 142 of 407
brycewang-stanford / submission-guideThis skill covers academic journal submission, referee responses, and revision management
brycewang-stanford / quality-gateVerify that every quantitative claim in the paper is traceable to an analysis output file, and that no important output was omitted. Make sure to use this skill whenever the user wants to check that the paper and analysis are consistent before submission.
brycewang-stanford / literature-review帮助用户撰写高质量的文献综述类论文。提供从选题、文献检索、评估筛选、结构规划到最终写作的全流程指导。适用于需要撰写独立文献综述论文或学术论文中文献综述部分的用户。
brycewang-stanford / avoid-ai-writingAudit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewri…
brycewang-stanford / slr-prismaGuide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, st…
brycewang-stanford / medical-imaging-reviewWrite comprehensive literature reviews for medical imaging AI research
brycewang-stanford / econ-abstract-writingGuide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields.
brycewang-stanford / academic-writingActivate when the user is drafting any academic economics content from scratch (e.g., outlines, abstracts, introductions, data/methods/identification sections, results narratives, conclusions, referee responses, table/figure captions) and needs economics-specific structure, phrasing options, and qua…
brycewang-stanford / econ-intro-writingGuide for writing the introduction to an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an introduction to an economics paper - whether empirical micro, development economics, applied economics, or related fields.
brycewang-stanford / R-optimizerR语言实证分析优化Skill。优化R代码效率、处理大规模面板数据、加速回归计算（并行化、向量化、向量化）。触发词：R语言优化/R加速/R性能优化/大规模数据处理/R optimization
brycewang-stanford / citation-fidelity学术引用核查Skill。要求每条引用必须定位到PDF原页，区分直接引用/间接引用，找不到原文则标注"待核"。触发词：引用核查/检查引用/citation check/核实文献/引用 fidelity
brycewang-stanford / codebook-pass调查数据清洗Skill。处理调查数据（CGSS/CHIP/CSS等）时的标准化清洗流程，包括缺失值处理、变量编码统一、数据异常值检测。触发词：数据清洗/调查数据/codebook/数据清洗流程/问卷数据处理
brycewang-stanford / did-reviewer双重差分(DID)实证审查Skill。做DID分析前必须检查平行趋势假设、画图可视化、报告违背情况。触发词：DID审查/双重差分检查/平行趋势/DiD reviewer/difference-in-differences
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 / unpaywall-apiFind free legal full-text versions of scholarly articles via Unpaywall
brycewang-stanford / deslopRemove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns.
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 / event-studyUse this skill whenever the user wants to conduct an event study, create event study plots, test for parallel trends, implement difference-in-differences designs, or work with any panel data estimation that involves pre/post treatment comparisons.
brycewang-stanford / master-thesis-reviewGenerate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Outputs academic evaluation and shortcomings/suggestions in Chinese. Trigger when user says "master thesis review" / "硕士论文评阅" / "论文评阅" / "评阅意见" / "thesis review".
brycewang-stanford / nber-working-papers-apiAccess NBER working papers and economic research datasets
brycewang-stanford / causal-mlThis skill covers causal machine learning methods in applied economics and quantitative social science
brycewang-stanford / identification-proofsThis skill covers formal identification arguments and proofs in structural and reduced-form econometrics
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 / deep-auditDeep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken references, count mismatches, and cross-document inconsistencies, then fixes all issues and loops until clean.
brycewang-stanford / research-setupInteractive setup wizard that configures a new project for the social-science-research plugin. Asks the user questions about their field, institution, journals, datasets, key researchers, and R color palette, then writes the answers into references/domain-profile.md and CLAUDE.md.
brycewang-stanford / write-paperDraft a full academic paper manuscript from analysis outputs, project spec, and lit review. Make sure to use this skill whenever the user wants to turn completed analysis into a written paper — not to run analysis or review existing writing.
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 / Full-empirical-analysis-skill-StataClassical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter.
brycewang-stanford / Full-empirical-analysis-skill-RClassical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt + WeightIt…
