skills/29-quarcs-lab-project20XXy/dot-claude/skills/new-slide-deck/SKILL.md
Creates a Quarto revealjs slide deck in slides/ with the project style guide. Use when a presentation is needed.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research new-slide-deckInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create a new Quarto revealjs slide deck in slides/ with the project's style guide applied.
$ARGUMENTS — the presentation title and optional subtitle (e.g., "Regional Disparities in GDP" or "Job Market Talk: Regional Disparities")Parse the title (and subtitle, if separated by a colon) from the arguments.
Check slides/ for existing files to avoid name collisions. Generate a filename using the naming convention from slides/README.md (e.g., analysis-results.qmd or 01-seminar-talk.qmd).
Create the .qmd file in slides/ with this YAML front matter (from the style guide in slides/README.md):
---
title: "<title>"
subtitle: "<subtitle if provided>"
author: "<from index.qmd author field, or [FILL: Author name]>"
date: today
format:
revealjs:
theme: simple
slide-number: true
css: |
.reveal h1, .reveal h2, .reveal h3 {
color: #2874A6;
}
.reveal strong {
color: #229954;
}
---
Pre-populate the body with a standard academic talk structure:
## Motivation
- [Key question or puzzle]
- [Why it matters]
- [What we do about it]
## Related Literature
- [Strand 1: ...]
- [Strand 2: ...]
- **This paper:** [Contribution]
## Data
- [Source and sample]
- [Key variables]
- [Summary statistics]
## Empirical Strategy
- [Identification approach]
- [Model specification]
## Main Results
- [Finding 1]
- [Finding 2]
## Robustness
- [Alternative specifications]
- [Placebo tests or falsification]
## Conclusion
- [Summary of findings]
- [Policy implications]
- [Future work]
## Thank You {.center}
Contact: [email]
Render the slide deck to verify it compiles:
quarto render slides/<filename>.qmd
Report the file path and the command to re-render.
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.