Install
$ agentstack add skill-wanshuiyin-auto-claude-code-research-in-sleep-paper-slides ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Paper Slides: From Paper to Conference Talk
Generate conference presentation slides from: $ARGUMENTS
Context
This skill runs after Workflow 3 (/paper-writing). It takes a compiled paper and generates a presentation slide deck for conference oral talks, spotlight presentations, or poster lightning talks.
Unlike posters (single page, visual-first), slides tell a temporal story: each slide builds on the previous one, with progressive revelation of the research narrative. A good talk makes the audience understand why this matters before showing what was done.
Constants
- VENUE =
NeurIPS— Target venue, determines color scheme. Supported:NeurIPS,ICML,ICLR,AAAI,ACL,EMNLP,CVPR,ECCV,GENERIC. Override via argument. - TALK_TYPE =
spotlight— Talk format. Options:oral(15-20 min),spotlight(5-8 min),poster-talk(3-5 min),invited(30-45 min). Determines slide count and content depth. - TALK_MINUTES = 15 — Talk duration in minutes. Auto-adjusts slide count (~1 slide/minute for oral, ~1.5 slides/minute for spotlight). Override explicitly if needed.
- ASPECT_RATIO =
16:9— Slide aspect ratio. Options:16:9(default, modern projectors),4:3(legacy). - SPEAKER_NOTES = true — Generate
\note{}blocks in beamer and corresponding PPTX notes. Setfalsefor clean slides without notes. - PAPER_DIR =
paper/— Directory containing the compiled paper. - OUTPUT_DIR =
slides/— Output directory for all slide files. - REVIEWER_MODEL =
gpt-5.5— Model used via Codex MCP for slide review. - AUTO_PROCEED = false — At each checkpoint, always wait for explicit user confirmation.
- COMPILER =
latexmk— LaTeX build tool. - ENGINE =
pdflatex— LaTeX engine. Usexelatexfor CJK text.
> 💡 Override: /paper-slides "paper/" — talk_type: oral, venue: ICML, minutes: 20, aspect: 4:3
Optional: Style reference (— style-ref: , opt-in)
Lets the user steer the talk's structural rhythm (story beats, theorem density, figure density inherited from the source paper) toward a reference paper. Default OFF — when the user does not pass — style-ref, do nothing differently from before.
Only when — style-ref: appears in $ARGUMENTS, run the helper FIRST:
# Resolve $STYLE_HELPER via the canonical strict-safe chain (see
# shared-references/integration-contract.md §2). Policy A — gate:
# unresolved helper means --style-ref cannot be satisfied, so abort.
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
STYLE_HELPER=".aris/tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || STYLE_HELPER="tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || { [ -n "${ARIS_REPO:-}" ] && STYLE_HELPER="$ARIS_REPO/tools/extract_paper_style.py"; }
[ -f "$STYLE_HELPER" ] || {
echo "ERROR: extract_paper_style.py not resolved at .aris/tools/, tools/, or \$ARIS_REPO/tools/." >&2
echo " Fix: rerun bash tools/install_aris.sh, export ARIS_REPO, or copy the helper to tools/." >&2
echo " --style-ref cannot be satisfied; aborting." >&2
exit 1
}
STYLE_STATUS=0
CACHE=$(python3 "$STYLE_HELPER" --source "") || STYLE_STATUS=$?
case "$STYLE_STATUS" in
0) ;; # use $CACHE/style_profile.md as structural guidance
2) echo "warning: style-ref skipped (missing optional dep)" >&2 ;;
3) echo "error: --style-ref source failed; aborting slides" >&2 ; exit 1 ;;
*) echo "error: helper failed unexpectedly; aborting slides" >&2 ; exit 1 ;;
esac
Sources accepted: local TeX dir / file, local PDF, arXiv id, http(s) URL. Overleaf URLs/IDs are rejected — clone via /overleaf-sync setup first and pass the local clone path.
Strict rules (full contract in tools/extract_paper_style.py docstring):
- Use
style_profile.mdto align section-budget tendency and theorem-environment density. Talk-type slide count above still takes precedence. - Never copy speaker-note prose, slide titles, or examples from anything reachable through the cache. The talk content is from the user's paper, not the reference.
- Never pass
— style-ref(or the cache contents) to the GPT-5.5 reviewer sub-agent — the reviewer must judge the talk's clarity on its own merits.
Talk Type → Slide Count
| Talk Type | Duration | Slides | Content Depth | |-----------|----------|:------:|---------------| | poster-talk | 3-5 min | 5-8 | Problem + 1 method slide + 1 result + conclusion | | spotlight | 5-8 min | 8-12 | Problem + 2 method + 2 results + conclusion | | oral | 15-20 min | 15-22 | Full story with motivation, method detail, experiments, analysis | | invited | 30-45 min | 25-40 | Comprehensive: background, related work, deep method, extensive results, discussion |
Venue Color Schemes
Same as /paper-poster-html:
| Venue | Primary | Accent | Background | Text | |-------|---------|--------|------------|------| | NeurIPS | #8B5CF6 | #2563EB | #FFFFFF | #1E1E1E | | ICML | #DC2626 | #1D4ED8 | #FFFFFF | #1E1E1E | | ICLR | #059669 | #0284C7 | #FFFFFF | #1E1E1E | | CVPR | #2563EB | #7C3AED | #FFFFFF | #1E1E1E | | GENERIC | #334155 | #2563EB | #FFFFFF | #1E1E1E |
State Persistence (Compact Recovery)
Persist state to slides/SLIDES_STATE.json after each phase:
{
"phase": 3,
"venue": "NeurIPS",
"talk_type": "spotlight",
"slide_count": 10,
"codex_thread_id": "019cfcf4-...",
"status": "in_progress",
"timestamp": "2026-03-18T15:00:00"
}
On startup: if SLIDES_STATE.json exists with "status": "in_progress" and within 24h → resume. Otherwise → fresh start.
Workflow
Phase 0: Input Validation & Setup
- Check prerequisites:
``bash which pdflatex && which latexmk ``
- Verify paper exists:
``bash ls $PAPER_DIR/main.tex || ls $PAPER_DIR/main.pdf ls $PAPER_DIR/sections/*.tex ls $PAPER_DIR/figures/ ``
- Backup existing slides: if
slides/exists, copy toslides-backup-{timestamp}/
- Create output directory:
mkdir -p slides/figures
- Detect CJK: if paper contains Chinese/Japanese/Korean, set ENGINE to
xelatex
- Determine slide count: from TALKTYPE and TALKMINUTES using the table above
- Check for resume: read
slides/SLIDES_STATE.jsonif it exists
State: Write SLIDES_STATE.json with phase: 0.
Phase 1: Content Extraction & Slide Outline
Read paper/sections/*.tex and build a slide-by-slide outline.
Slide template by talk type:
Oral (15-22 slides)
| Slide | Purpose | Content Source | Figure? | |:-----:|---------|----------------|:-------:| | 1 | Title | Paper metadata | No | | 2 | Outline | Section headers | No | | 3-4 | Motivation & Problem | Introduction | Optional | | 5 | Key Insight | Introduction (contribution) | No | | 6-9 | Method | Method section | Yes (hero figure) | | 10-14 | Results | Experiments | Yes (per slide) | | 15-16 | Analysis / Ablations | Experiments | Yes | | 17 | Limitations | Conclusion | No | | 18 | Conclusion / Takeaway | Conclusion | No | | 19 | Thank You + QR | — | QR code |
Spotlight (8-12 slides)
| Slide | Purpose | Content Source | Figure? | |:-----:|---------|----------------|:-------:| | 1 | Title | Paper metadata | No | | 2-3 | Problem + Why It Matters | Introduction | Optional | | 4 | Key Insight | Contribution | No | | 5-6 | Method | Method (condensed) | Yes (hero) | | 7-9 | Results | Key results only | Yes | | 10 | Takeaway | Conclusion | No | | 11 | Thank You + QR | — | QR code |
Poster-talk (5-8 slides)
| Slide | Purpose | Content Source | Figure? | |:-----:|---------|----------------|:-------:| | 1 | Title | Paper metadata | No | | 2 | Problem | Introduction (1 slide) | No | | 3 | Method | Method (1 slide) | Yes | | 4-5 | Results | Key result only | Yes | | 6 | Takeaway + QR | Conclusion | QR |
For each slide, specify:
- Title (max 8 words)
- 3-5 bullet points (max 8 words each)
- Figure reference (if any) from paper/figures/
- Speaker note (2-3 sentences of what to say)
- Time allocation (in seconds)
Output: slides/SLIDE_OUTLINE.md
🚦 Checkpoint:
📊 Slide outline ready:
- Talk type: [TALK_TYPE] ([TALK_MINUTES] min)
- Slide count: [N] slides
- Figures used: [N] from paper/figures/
- Time budget: [breakdown]
Slide-by-slide outline:
1. [Title slide]
2. [Motivation — 1.5 min]
3. [Problem statement — 1 min]
...
Proceed to drafting? Or adjust the outline?
⛔ STOP HERE and wait for user response. This is the most critical checkpoint — the outline determines the entire talk flow.
Options:
- "go" → proceed to Phase 2
- adjustments (e.g., "merge slides 3-4", "add a demo slide", "cut the ablation") → revise
- "stop" → save to
slides/SLIDE_OUTLINE.md
State: Write SLIDES_STATE.json with phase: 1.
Phase 2: Slide-by-Slide Content Drafting
For each slide in the outline, draft the actual content.
Presentation rules (enforced strictly):
| Rule | Rationale | |------|-----------| | One message per slide | If a slide has two ideas, split it | | Max 6 lines per slide | More than 6 lines = wall of text | | Max 8 words per line | Audience reads, not listens, if text is long | | Sentence fragments, not sentences | "Improves F1 by 3.2%" not "Our method improves the F1 score by 3.2 percentage points" | | Figure slides: figure ≥60% area | The figure IS the content; bullets are annotations | | Bold key numbers | "Achieves 94.3% accuracy" | | Progressive disclosure | Use \pause or \onslide for complex slides | | No Related Work slide | Unless invited talk (30+ min) |
For each slide, produce:
\frametitle{}- Content (itemize or figure + caption)
\note{}with speaker text (if SPEAKER_NOTES=true)
Phase 3: Generate Slides LaTeX
Create slides/main.tex using beamer.
Template structure:
\documentclass[aspectratio=169]{beamer}
% Venue theme
\usepackage{xcolor}
\definecolor{primary}{HTML}{VENUE_PRIMARY}
\definecolor{accent}{HTML}{VENUE_ACCENT}
% Clean theme
\usetheme{default}
\usecolortheme{default}
\setbeamercolor{frametitle}{fg=primary}
\setbeamercolor{title}{fg=primary}
\setbeamercolor{structure}{fg=accent}
\setbeamercolor{itemize item}{fg=primary}
\setbeamercolor{itemize subitem}{fg=accent}
\setbeamertemplate{navigation symbols}{}
\setbeamertemplate{footline}{
\hfill\insertframenumber/\inserttotalframenumber\hspace{2mm}\vspace{2mm}
}
% Packages
\usepackage{graphicx,amsmath,booktabs}
\graphicspath{{figures/}}
% Speaker notes (if enabled)
% \setbeameroption{show notes on second screen=right}
% Metadata
\title{PAPER TITLE}
\author{Author 1 \and Author 2}
\institute{Affiliation}
\date{VENUE YEAR}
\begin{document}
\begin{frame}
\titlepage
\end{frame}
% Content slides follow...
\begin{frame}{Motivation}
\begin{itemize}
\item Bullet point 1
\item Bullet point 2
\item \textbf{Key insight in bold}
\end{itemize}
\note{Speaker note: explain the motivation...}
\end{frame}
% Figure slide example
\begin{frame}{Method Overview}
\centering
\includegraphics[width=0.85\textwidth]{method_overview.pdf}
\vspace{0.5em}
\begin{itemize}
\item Key annotation about the figure
\end{itemize}
\note{Walk through the figure left to right...}
\end{frame}
% ... more slides ...
\begin{frame}{Thank You}
\centering
{\Large Questions?}\\[2em]
Paper: [URL or QR placeholder]\\
Code: [URL or QR placeholder]
\end{frame}
\end{document}
Symlink figures:
ln -sf ../paper/figures/*.pdf slides/figures/ 2>/dev/null
ln -sf ../paper/figures/*.png slides/figures/ 2>/dev/null
Key formatting rules:
- Title font: ≥28pt, venue primary color
- Body font: ≥20pt
- Footnotes: ≥14pt
- No navigation symbols
- Frame numbers in bottom-right
- Clean white background (no gradients, no decorative elements)
Phase 4: Compile Slides
cd slides && latexmk -$ENGINE -interaction=nonstopmode main.tex
Error handling loop (max 3 attempts):
- Parse error log
- Fix: missing package, undefined command, file not found, overfull boxes
- Recompile
Verification:
# Check slide count matches outline
pdfinfo slides/main.pdf | grep Pages
If page count differs significantly from outline (>2 slides off), investigate.
State: Write SLIDES_STATE.json with phase: 4.
Phase 5: Codex MCP Review
Send the slide outline + selected LaTeX frames to GPT-5.5 xhigh:
mcp__codex__codex:
config: {"model_reasoning_effort": "xhigh"}
prompt: |
Review this [TALK_TYPE] presentation ([TALK_MINUTES] min) for [VENUE].
Evaluate using these criteria (score 1-5 each):
1. **Story arc** — Does the talk build a compelling narrative? (Problem → insight → method → evidence → takeaway)
2. **Slide density** — Any slides with too much text? (Max 6 lines, 8 words/line)
3. **Time budget** — Is [N] slides realistic for [TALK_MINUTES] minutes?
4. **Figure visibility** — Will figures be readable on a projector?
5. **Opening hook** — Do slides 2-3 grab attention? (Not "In this paper, we...")
6. **Takeaway** — Is the final message clear and memorable?
7. **Progressive build** — Are complex ideas revealed gradually?
Slide outline:
[PASTE SLIDE_OUTLINE.md]
Selected frames (LaTeX):
[PASTE KEY FRAMES]
Provide:
- Score for each criterion
- Top 3 actionable fixes
- Overall: Ready to present? (Yes / Needs revision / Major issues)
Apply fixes. Recompile if LaTeX was changed.
> ⚠️ If mcp__codex__codex is not available (no OpenAI API key), skip external review and proceed to Phase 6. Note the skip in SLIDES_STATE.json.
Save review to slides/SLIDES_REVIEW.md.
State: Write SLIDES_STATE.json with phase: 5.
Phase 6: Speaker Notes
For each slide, ensure a \note{} block exists with:
- What to say (2-3 complete sentences, conversational tone)
- Timing hint (e.g., "spend 1 minute here", "quick — 20 seconds")
- Transition phrase to the next slide (e.g., "So how do we actually implement this? Let me show you...")
Also generate slides/speaker_notes.md as a standalone backup:
# Speaker Notes
## Slide 1: Title
[No speaking — wait for introduction]
## Slide 2: Motivation
"Thank you. So let me start with the problem we're trying to solve..."
[Time: 1.5 min]
## Slide 3: Problem Statement
"Specifically, the challenge is..."
→ Transition: "To address this, our key insight is..."
[Time: 1 min]
...
State: Write SLIDES_STATE.json with phase: 6.
Phase 7: PowerPoint Export
Generate an editable PPTX using python-pptx:
python3 -c "import pptx" 2>/dev/null || pip install python-pptx
Write slides/generate_pptx.py that:
- Creates a PPTX with correct aspect ratio (16:9 → 13.33" x 7.5"; 4:3 → 10" x 7.5")
- For each beamer frame:
- Creates a slide with matching layout
- Title in venue primary color, bold
- Bullet points with venue accent color markers
- Figures embedded as images (from slides/figures/)
- Speaker notes transferred to PPTX notes field
- Title slide with special formatting (centered, larger title)
- Thank You slide with centered text
- Applies venue color scheme throughout
cd slides && python3 generate_pptx.py
# Output: slides/presentation.pptx
> ⚠️ If python-pptx is not installed, skip with a note: "Install pip install python-pptx to enable PowerPoint export."
State: Write SLIDES_STATE.json with phase: 7.
Phase 8: Full Talk Script
Generate slides/TALK_SCRIPT.md — a complete, word-for-word script for the talk.
This is different from speaker notes (brief reminders). The talk script is a full manuscript that can be read aloud or used for pract
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wanshuiyin
- Source: wanshuiyin/Auto-claude-code-research-in-sleep
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.