Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.
npx skills add https://github.com/lingzhi227/agent-research-skills --skill slide-generation
Convert a completed paper into presentation slides or poster.
$0 — Paper LaTeX file (main.tex) or paper directory~/.claude/skills/slide-generation/references/slide-templates.mdpython ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --output slides_skeleton.tex
python ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --format json --output elements.json
python ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --output slides.tex --theme metropolis
Parses .tex, extracts title/authors/sections/equations/figures/tables, generates Beamer skeleton.
From the paper, extract:
Standard oral presentation flow (~15-20 slides):
| Slide # | Content | Source Section |
|---------|---------|---------------|
| 1 | Title slide | Title/Authors |
| 2 | Motivation / Problem | Introduction |
| 3 | Why existing solutions fail | Related Work |
| 4-5 | Our approach (high-level) | Methods |
| 6-8 | Technical details + equations | Methods |
| 9 | Experimental setup | Experiments |
| 10-13 | Results (figures + tables) | Results |
| 14 | Ablation study | Results |
| 15 | Limitations & Future work | Discussion |
| 16 | Conclusion | Conclusion |
| 17 | Thank you + Q&A | — |
\documentclass[aspectratio=169]{beamer}
\usetheme{metropolis}
\title{Paper Title}
\author{Authors}
\date{Venue Year}
\begin{document}
\maketitle
\begin{frame}{Motivation}
\begin{itemize}
\item Problem statement
\item Why it matters
\end{itemize}
\end{frame}
% ... more frames
\end{document}
For poster sessions, use a multi-column layout:
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take lingzhi227/slide-generation from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.