academic-research-skills

In the author's own words, from each skill's SKILL.md — showing the first 29 of 2134 files.

• marketing-science-writing

  Use when writing or revising marketing science papers targeting Marketing Science, JMR, JM, JCR, JAMS, IJRM, QME, Marketing Letters. Covers the full pipeline: substantive problem framing, consumer utility modeling, identification strategy design, structural estimation (BLP, GMM), field/lab experiments, conjoint analysis, counterfactual simulations, and marketing implications with actionable manag…

  Awesome-Journal-Skills-main/marketing-science-writing-main/SKILL.md on GitHub (opens in a new tab)

• thesis-idea

  Use when a graduate student, early-stage researcher, or thesis writer needs help with an economics thesis or paper idea, including Chinese requests about 毕业论文 idea 打磨器, 毕业论文选题, 硕士论文 idea, 研究生开题, 老师给的题目, or 经济学研究设计. Start from raw interests, advisor directions, policies, variables, phenomena, or vague intuitions; route the idea as empirical causal, measurement/facts, theory, structural/quantitativ…

  brainstorm-presearch/Econ-thesis-idea-main/SKILL.md on GitHub (opens in a new tab)

• econane

  Use this skill when the user wants to enrich an economics argument, paper section, dissertation chapter, or policy brief with anecdotal evidence — real-world cases, media reports, investigative journalism, government announcements, corporate disclosures, or on-the-ground narratives — and then integrate that anecdotal evidence with academic findings into a unified, layered evidentiary argument. Tr…

  brainstorm-presearch/econane/SKILL.md on GitHub (opens in a new tab)

• economist-analyst

  Analyzes events through economic lens using supply/demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: Economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates…

  brainstorm-presearch/economist-analyst/SKILL.md on GitHub (opens in a new tab)

• good-question

  Use when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled research direction.

  brainstorm-presearch/good-question-main/SKILL.md on GitHub (opens in a new tab)

• hypothesis-generation

  Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

  brainstorm-presearch/hypothesis-generation/SKILL.md on GitHub (opens in a new tab)

• readpolicy

  Use this skill whenever the user uploads or pastes a policy document (government policy, regulatory document, planning directive, ministerial notice, white paper, five-year plan excerpt, local government document, 政策文本, 政府文件, 规划, 通知, 意见, 办法, 条例, etc.) and asks for analysis, summary, keyword extraction, or research direction identification. Triggers include: '读这个政策', '分析政策文本', 'policy analysis', '…

  brainstorm-presearch/readpolicy/SKILL.md on GitHub (opens in a new tab)

• research-brainstorm

  Brainstorm and stress-test research ideas as a senior scholar colleague would. Runs a multi-turn dialogue that clarifies the seed question (or generates one from cold start), probes it conversationally, launches a parallel deep literature scan across published and working-paper sources, critiques the question adversarially, generates 2–3 alternative framings, assesses feasibility (delegating to t…

  brainstorm-presearch/research-brainstorm/SKILL.md on GitHub (opens in a new tab)

• Research Ideation

  This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea gener…

  brainstorm-presearch/research-ideation/SKILL.md on GitHub (opens in a new tab)

• scientific-brainstorming

  Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

  brainstorm-presearch/scientific-brainstorming/SKILL.md on GitHub (opens in a new tab)

• autonomous-qa-loop

  Create neutral autonomous QA-loop prompts for fresh, independent, history-free agents reviewing complex code changes, with module-level parallel review packets and broad reporting of plausible concerns. Use when the user says QA loop, autonomous QA loop, automated QA loop, independent review, fresh agent review, parallel QA agents, vibe coding QA, subagent review, reviewer prompt, audit agent, or…

  data-analysis/autonomous-qa-loop/SKILL.md on GitHub (opens in a new tab)

• csv-data-summarizer

  Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

  data-analysis/csv-data-summarizer/SKILL.md on GitHub (opens in a new tab)

• data-analysis-router

  Multi-domain data analysis router for uploaded datasets, spreadsheets, CSV/XLSX files, business metric tables, or user questions that require selecting the right business analysis framework before producing insights, charts, recommendations, or a structured report. Use when Codex needs to inspect data fields, infer the business domain, profile one or more tables, choose among ecommerce, content o…

  data-analysis/data-analysis-router-main/SKILL.md on GitHub (opens in a new tab)

• data-analysis

  End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures

  data-analysis/data-analysis/SKILL.md on GitHub (opens in a new tab)

• econometric-research-writing

  End-to-end econometric analysis and economics/management paper-writing workflow. Use for data-grounded research grilling or mock defense, stress-testing research designs and identification strategies, dataset profiling, model selection (panels, IV, GMM, DiD, time-series, volatility, regimes), literature/citation verification, academic prose polishing, and publication-style Word DOCX reports with…

  data-analysis/econometric-research-writing/SKILL.md on GitHub (opens in a new tab)

• exploratory-data-analysis

  Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Cover…

  data-analysis/exploratory-data-analysis/SKILL.md on GitHub (opens in a new tab)

• lieflat-charts

  一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。

  data-analysis/lieflat-charts-main/SKILL.md on GitHub (opens in a new tab)

• neishengxing

  Use when designing, diagnosing, coding, running, or writing an endogeneity section for empirical economics papers, including IV/2SLS/IV-Tobit, leave-one-out peer instruments, weak-IV tests, Oster (2019), Heckman selection, WIT many-IV screening, TSCI/STCI invalid-IV methods, LIML/Fuller fallbacks, and manuscript-ready Chinese or English reporting.

  data-analysis/neishengxing-main/SKILL.md on GitHub (opens in a new tab)

• python-panel-data

  Panel data analysis with Python using linearmodels and pandas.

  data-analysis/python-panel-data/SKILL.md on GitHub (opens in a new tab)

• r-analyst

  R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.

  data-analysis/r-analyst/SKILL.md on GitHub (opens in a new tab)

• r-econometrics

  Run IV, DiD, and RDD analyses in R with proper diagnostics

  data-analysis/r-econometrics/SKILL.md on GitHub (opens in a new tab)

• sociologist-analyst

  Analyzes events through sociological lens using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, symbolic interactionist). Provides insights on social patterns, group dynamics, inequality, socialization, social change, and collective action. Use when: Social movements, inequality, cultural trends,…

  data-analysis/sociologist-analyst/SKILL.md on GitHub (opens in a new tab)

• stata-accounting-research

  STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy balancing, propensity score matching (PSM), difference-in-differences (DiD), re…

  data-analysis/stata-accounting-research-master/SKILL.md on GitHub (opens in a new tab)

• stata-analyst

  Stata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in Stata for academic papers.

  data-analysis/stata-analyst/SKILL.md on GitHub (opens in a new tab)

• stata-data-cleaning

  Clean and transform messy data in Stata with reproducible workflows

  data-analysis/stata-data-cleaning/SKILL.md on GitHub (opens in a new tab)

• stata-regression

  Run regression analyses in Stata with publication-ready output tables.

  data-analysis/stata-regression/SKILL.md on GitHub (opens in a new tab)

• stata

  Use when writing, running, or debugging Stata code, do files, ado files, packages, or Mata programs in this environment. Use when loading Stata datasets, running regressions, managing data, developing Stata commands or packages, or working with Stata/Mata syntax.

  data-analysis/stata-skill-main/SKILL.md on GitHub (opens in a new tab)

• StatsPAI_skill

  Agent-native one-stop toolkit for the full empirical data-analysis pipeline in Python (v1.6+). 900+ functions, one import (`import statspai as sp`), unified API. Covers the complete loop after data cleaning — descriptive stats & EDA (sp.sumstats, sp.balance_table, sp.balance_panel), estimand-first research-question DSL (sp.causal_question), LLM-assisted DAG discovery (sp.llm_dag_propose/validate/…

  data-analysis/StatsPAI_skill/SKILL.md on GitHub (opens in a new tab)

• universal-data-analyst-1.0.3

  No description in the SKILL.md.

  data-analysis/universal-data-analyst-1.0.3/SKILL.md on GitHub (opens in a new tab)

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