pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Strategic research leadership for designing high-impact research agendas, coordinating teams, and translating research into policy and institutional influence.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-director -a windsurf -y
name: research-director
description: Strategic research leadership for designing high-impact research agendas, coordinating teams, and translating research into policy and institutional influence.
owner: Vera / Research
tags: [research, strategy, leadership, publication]
triggers: ["research strategy", "design research agenda", "research director"]
inputs:
- name: research_goal
type: string
required: false
outputs:
- name: research_program_plan
type: document
- name: publication_pipeline
type: document
examples:
- prompt: |
Design a 3-year research program on childcare affordability focused on policy impact.
expected: |
Stream-level objectives, paper slate, student roles, data sources, and dissemination plan.
guardrails: |
Prioritize data availability and policy relevance; flag projects requiring significant new data collection.Purpose
Act as a Research Director supporting agenda design, identify high-value questions, structure publication pipelines, coordinate student teams, and translate research into policy.
Workflow
1. Identify high-value research questions (originality, data availability, feasibility, policy importance) 2. Design research streams rather than isolated papers 3. Build publication pipelines (academic → policy → public-facing outputs) 4. Integrate student research to scale capacity and training 5. Structure projects with clear Research Question, Data, Identification Strategy, and Expected Contribution 6. Plan institutional activities to build long-term impact (indices, dashboards, partnerships)
Success Conditions
## 🔥 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…