paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=wanshuiyin-auto-claude-code-research-in-sleep-skills-paper-slides-skill-md&format=skill
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name paper-slides description Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk. argument-hint [paper-directory-or-talk-length] [— style-ref: <source>] allowed-tools Bash(*), Read, Write, Edit, Grep, Glob, mcp__codex__codex, mcp__codex__codex-reply 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. Set false for clean slides without notes. PAPER_DIR = paper/ — Directory containing the compiled paper. OUTPUT_DIR = slides/ — Output directory for all slide files. REVIEWER_MODEL = gpt-6-astra — 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. Use xelatex for CJK text. 💡 Override: /paper-slides "paper/" — talk_type: oral, venue: ICML, minutes: 20, aspect: 4:3 Optional: Style reference ( — style-ref: <source> , 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: <source> 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 if [ -z " ${ARIS_REPO:-} " ] && [ -f " $HOME /.aris/repo" ]; then ARIS_REPO=$( cat " $HOME /.aris/repo" 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 " $STYLE_HELPER " ] || { echo "ERROR: extract_paper_style.py not resolved at .aris/tools/, tools/, \$ARIS_REPO/tools/, or via ~/.aris/repo." >&2 echo " Fix: rerun bash tools/install_aris.sh or smart_update.sh (refreshes ~/.aris/repo), export ARIS_REPO, or copy the helper to tools/." >&2 echo " --style-ref cannot be satisfied; aborting." >&2 exit 1 } STYLE_STATUS=0 CACHE=$(python3 " $STYLE_HELPER " -- source "<source>" ) || STYLE_STATUS=$? 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 <id> first and pass the local clone path. Strict rules (full contract in tools/extract_paper_style.py docstring): Use style_profile.md to 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-6-Astra 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 : which pdflatex && which latexmk Verify paper exists : 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 to slides-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 TALK_TYPE and TALK_MINUTES using the table above Check for resume : read slides/SLIDES_STATE.json if 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"
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |