Nature Paper2ppt
Turn a scientific paper, PDF, or reading notes into a real Nature-style Chinese .pptx deck with curated figures, speaker notes, and a self-review fix loop.
Overview
Nature-paper2ppt is an agent skill most often used in Build (also Validate prototype demos, Launch distribution talks) that produces a figure-integrated Chinese .pptx from a research paper with Nature-style logic and a s
Install
npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-paper2pptWhat is this skill?
- End product is a real .pptx—not outline-only; Nature-family reporting logic across life sciences, physics, AI methods, r
- Paper-type and argument detection; selects only figures needed for the narrative
- Chinese slide copy plus speaker notes with figure integration
- Explicit self-review/corrective revision loop: figure quality, text overflow prevention, non-template visual design
- Covers journal club, group meeting, lab meeting, thesis seminar, department report use cases
- Mandatory deliverable: real .pptx deck, not outline-only
- Explicit self-review/corrective revision loop before delivery
Adoption & trust: 2k installs on skills.sh; 17.8k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You have a dense paper or PDF but need a polished seminar deck with the right figures and Chinese narration—not another unused outline in chat.
Who is it for?
Researchers and indie technical founders preparing journal club, group meeting, or seminar decks from PDFs or notes who need Chinese slides and real PowerPoint output.
Skip if: Marketing pitch decks, slideless executive summaries, or English-only corporate templates with no paper-derived figure story.
When should I use this skill?
User asks for slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab or department report from a research paper, preprint, PDF, or notes—not medical-only.
What do I get? / Deliverables
You receive a corrected .pptx with selected figures, slide content, speaker notes, and layout fixes from an explicit quality pass before handoff.
- Nature-style logic Chinese .pptx with integrated figures
- Speaker notes and post-review layout corrections
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Primary shelf is Build/docs because the main artifact is a presentation package derived from research material—typical while building knowledge products, reporting progress, or documenting methods. Docs subphase covers structured deliverables (slides, seminar decks) that communicate technical work beyond raw code.
Where it fits
Turn your methods paper PDF into a group-meeting .pptx with only the figures that support the main claim.
Package early benchmark results into a thesis seminar deck to sanity-check the story before wider release.
Build a department-report deck from a preprint to support a public paper-sharing session.
How it compares
Paper-to-deck generator with mandatory .pptx delivery and visual QA—not a one-shot “summarize this PDF” chat reply.
Common Questions / FAQ
Who is nature-paper2ppt for?
Solo researchers, students, and builders who present scientific or methods papers in Chinese and need seminar-ready PowerPoint with figures and notes.
When should I use nature-paper2ppt?
Use in Build/docs when making PPT/PPTX from a paper for journal club or lab meeting; in Validate when demoing a prototype study; in Launch/distribution when sharing paper results in a talk—always when the user wants slides from research material.
Is nature-paper2ppt safe to install?
Check the Security Audits panel on this Prism page; processing unpublished PDFs may involve sensitive IP—run in a trusted agent environment.
SKILL.md
READMESKILL.md - Nature Paper2ppt
# Purpose Transform a scientific paper or paper-derived notes into a complete Chinese, figure-integrated PPTX presentation package with a Nature-style reporting logic. The skill must not stop at an outline or script. The expected end product is a real `.pptx` deck. Keep supporting files minimal unless the user asks for more traceability. Use this skill for papers across scientific fields, including: - life sciences and medicine - chemistry and materials science - environmental and earth sciences - physics and engineering - computational biology, AI, and methods papers - interdisciplinary Nature-family style research - reviews, perspectives, resources, datasets, and benchmark papers # Core Principle Use the paper's scientific argument as the presentation spine. The default slide logic should help the audience answer, in order: 1. Why does this problem matter? 2. What gap or bottleneck does the paper address? 3. What did the authors do? 4. What is the key evidence? 5. Why should we trust the result? 6. What is new, reusable, or broadly meaningful? 7. Where are the boundaries and open questions? This is more important than copying the paper section order. # Lean Operating Mode Default to the lowest-overhead workflow that still produces a usable PPTX. Do: - read only the source material needed to understand the paper's argument, - extract only figures/tables that will actually appear in the deck, - create the PPTX as the primary deliverable, - design slides with varied, evidence-led composition rather than rigid AI-looking card templates, - prevent text overflow by writing shorter on-slide copy, using larger text boxes, and splitting slides when needed, - run at least one self-audit and correction pass on the generated PPTX, - run lightweight structural checks on the PPTX package after revision, - write a short QA report. Avoid by default: - exhaustive extraction of every figure, page, image, table, or supplement, - full OCR unless normal text extraction fails or the PDF is scanned, - saving full raw extracted paper text unless it is needed for debugging or reuse, - installing new dependencies when an existing tool can complete the task, - launching GUI apps or desktop automation just to render previews, - generating long markdown scripts when the user only needs a deck, - rendering every slide when no reliable headless renderer is available. ## Toolchain Policy Use a cross-platform Python-first stack unless the user explicitly asks for something else: - PyMuPDF for metadata, text extraction, page rendering, and page-level crops, - Pillow for figure crops, contact sheets, and lightweight preview images, - python-pptx for slide authoring and PPTX-safe editing, - zipfile plus a reopen pass through python-pptx for package validation. This stack must work on macOS, Linux, and Windows. Use `pathlib` paths, project-local output directories, and Office-safe fonts or theme fonts. Do not hardcode OS font paths or platform-specific file locations. If Python packages are missing, create a local virtual environment and install the minimum packages only when policy permits; do not install broad document suites just to finish a normal deck. Treat LibreOffice/soffice as optiona