pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Generate academic research proposals for PhD applications. Use when user asks to "write a research proposal", "create PhD proposal", "generate research plan", "撰写研究计划", "写博士申请", "doctoral proposal", or mentions specific research topics for PhD application. Supports STEM,
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-proposal -a windsurf -y
name: research-proposal description: > Generate academic research proposals for PhD applications. Use when user asks to "write a research proposal", "create PhD proposal", "generate research plan", "撰写研究计划", "写博士申请", "doctoral proposal", or mentions specific research topics for PhD application. Supports STEM, humanities, and social sciences with field-specific adaptations. Follows Nature Reviews-style academic writing conventions. Supports both English and Chinese output based on user preference. metadata: author: user version: "1.0.0" allowed-tools: - WebSearch - Read - Write - Edit - AskUserQuestion - Task - Glob - Grep - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_metadata - mcp__zotero__zotero_get_item_fulltext - mcp__zotero__zotero_get_annotations - mcp__zotero__zotero_get_notes - mcp__zotero__zotero_search_notes - mcp__zotero__zotero_semantic_search - mcp__zotero__zotero_advanced_search
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.
This skill guides the generation of research proposals through a structured 5-phase workflow:
1. **Requirements Gathering** - Collect research topic, domain, language preferences 2. **Literature Collection** - Gather relevant literature from multiple sources 3. **Outline Generation** - Create structured outline for user approval 4. **Content Writing** - Generate full proposal based on approved outline 5. **Output & Review** - Deliver Markdown file with quality checklist
**Target Output**: 2,000-4,000 words (default ~3,000 words) for PhD applications.
---
Use `AskUserQuestion` to collect the following information:
1. **Research Topic/Direction**
2. **Academic Domain**
3. **Output Language**
4. **Target Word Count**
5. **Target Institution(s)**
6. **Existing Materials**
Questions to ask the user: 1. "What is your research topic or direction? Please describe the core question or problem you want to investigate." 2. "Which academic domain does your research belong to?" - STEM (Science, Technology, Engineering, Mathematics) - Humanities (History, Philosophy, Literature) - Social Sciences (Sociology, Psychology, Economics) 3. "What language should the proposal be written in?" - English - 中文 (Chinese) 4. "Do you have a target word count? (Default: ~3,000 words)" 5. "Are you applying to specific institutions or working with particular faculty?" 6. "Have you uploaded relevant literature to your Zotero library that I should reference?"
---
┌─────────────────────────────────────────────────────────┐ │ Literature Sources │ ├─────────────────────────────────────────────────────────┤ │ General Info → WebSearch (trends, news, reviews) │ │ Open Access → arXiv, PubMed (preprints, OA papers)│ │ Closed Access → Zotero MCP (user's uploaded papers) │ └─────────────────────────────────────────────────────────┘
Search for:
Example searches:
"{topic} systematic review 2024 2025"
"{topic} research trends future directions"
"{topic} methodology recent advances"**IMPORTANT**: Remind users to upload relevant closed-access literature to Zotero before starting.
# Search by topic keywords
Use: mcp__zotero__zotero_search_items
Parameters: query = "{research topic keywords}"
# Advanced search with filters
Use: mcp__zotero__zotero_advanced_search
Parameters: conditions based on author, title, year, tags
# Semantic search for related papers
Use: mcp__zotero__zotero_semantic_search
Parameters: query = "{research question}"# Get full text content
Use: mcp__zotero__zotero_get_item_fulltext
Parameters: item_key = "{item key from search}"
# Get user's annotations and highlights
Use: mcp__zotero__zotero_get_annotations
Parameters: item_key = "{item key}"
# Get user's notes
Use: mcp__zotero__zotero_get_notes
Parameters: item_key = "{item key}"Organize collected literature into categories: 1. **Background/Context** - Foundational papers establishing the field 2. **Current State** - Recent advances and state-of-the-art 3. **Research Gap** - Papers identifying limitations or open questions 4. **Methodology** - Papers with relevant methods to adopt/adapt 5. **Related Work** - Adjacent research areas for comparison
---
Read the reference file for
## 🔥 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…