pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Plan, draft and refine research papers with reproducible analysis and publication-ready manuscripts.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-paper-writing -a windsurf -y
name: research-paper-writing
description: Plan, draft and refine research papers with reproducible analysis and publication-ready manuscripts.
owner: Vera / Research
tags: [research, writing, publication]
triggers: ["write a research paper", "journal article", "academic paper"]
inputs:
- name: research_question
type: string
required: true
outputs:
- name: paper_outline
type: document
- name: manuscript_draft
type: file
examples:
- prompt: |
Help me draft a manuscript on childcare deserts using county-level data and difference-in-differences.
expected: |
Suggested outline, methods section draft, and recommended robustness checks.
guardrails: |
For publishable claims, require accompanying replication code and data provenance; flag ethical or privacy issues.Purpose
Provide a systematic workflow for designing, analyzing, writing and submitting academic research.
Workflow
1. Concept and literature review. 2. Data and methods planning. 3. Analysis execution and robustness checks. 4. Drafting manuscript sections and iterative revision. 5. Submission, resubmission and post-publication steps.
## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics…
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid +…
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven +…
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready…
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…