
Slide Generation
Takes your LaTeX paper and generates a Beamer presentation or poster with extracted figures, tables, and equations. It parses your tex files, pulls out key content, and structures it into a standard 15-20 slide flow from motivation through results to conclusions. Includes a Python script that creates the skeleton and handles three output formats. The workflow is opinionated about slide structure (one message per slide, max six bullets, simplified equations) which is helpful if you're staring at a 30-page paper wondering where to start. Works best with papers that follow standard academic structure. The poster mode uses a four-column layout that mirrors typical conference poster sessions.
- skills.sh installs
- 1.7K
- GitHub stars
- 459
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lingzhi227/agent-research-skills --skill slide-generation --agent claude-codeInstalls into .claude/skills of the current project.
Files
Slide Generation
Convert a completed paper into presentation slides or poster.
Input
$0— Paper LaTeX file (main.tex) or paper directory
References
- Slide templates and layout patterns:
~/.claude/skills/slide-generation/references/slide-templates.md
Scripts
Extract paper elements for slides
python ~/.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.
Workflow
Step 1: Extract Key Content
From the paper, extract:
- Title, authors, affiliations
- Core contribution (1-3 bullet points from abstract)
- Key figures (all \includegraphics paths)
- Key tables (simplified versions)
- Key equations (numbered equations from Methods)
- Main results (best numbers from Results section)
Sponsors
Details
- Repository
- github.com/lingzhi227/agent-research-skills
- Categories
- AI & Agent Building, Data Science & ML, Office & Documents
- First seen
- Jun 3, 2026
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