Nature Paper2ppt

作者 yuan1z0825d5c8baa15d6b無授權條款46K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Create or improve a Chinese academic PPTX from a scientific paper or research reading notes, with source figures and speaker notes. Use for 论文做PPT、文献汇报、组会PPT and paper-based conference or defense presentations.

包含腳本Documents & Office
AI 產生的概覽

依科學論文或閱讀筆記製作或修改中文學術 PPTX,含原始圖表與講者備忘稿。

功能
此技能會把論文或閱讀筆記轉成中文學術簡報。它會判斷論文類型,載入對應的敘事片段與核心指引,並產出真正的 .pptx 檔案,包含原始圖表與講者備忘稿。它也支援修改既有簡報,並用內附指令碼對成品做品質稽核。
適用情境
適用於論文做PPT、文獻報告、組會PPT,以及以論文為基礎的會議或答辯簡報。適合把科學論文或研究閱讀筆記做成投影片,或修改既有的論文簡報。
執行需求
需要 Python 執行內附的稽核指令碼(scripts/audit_pptx_quality.py),並能讀取此技能的 manifest、核心、片段與參考檔案。它也引用了技能資料夾之外的共用術語表檔案。未說明需要憑證或網路存取。

Paper-to-PPTX — Router

Routing protocol

For an edit to an existing deck, reuse its paper source, narrative, terminology, and assets. Change the requested slides and any affected cross-slide references; do not rerun paper intake or rebuild the deck's story unless the request requires it. Inspect changed slides and run the existing final PPTX audit before delivery. A requested outline or explanation alone does not require creating a deck.

For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.

1. Load the manifest and the core layer

Read manifest.yaml [blocked]. It declares the paper_type axis, the allowed values, and the file paths each value maps to.

Also read every file listed under always_load. These hold the purpose and core principle, the lean operating mode and toolchain policy, the 9-step workflow spine, and the output/quality rules that apply to every deck, plus the shared Terminology Ledger used to keep technical terms consistent across slides.

2. Classify the paper type

Decide the paper_type value using the manifest's detect: hint and the source:

  • discovery — discovery / mechanism papers (question-to-evidence arc). Default.
  • methods — methods / AI / tool / algorithm papers (problem-to-solution arc).
  • resource — resource / dataset / atlas / omics / benchmark papers (workflow-to-validation arc).
  • clinical — clinical / population / intervention studies (design-to-inference arc).
  • materials — materials / chemistry / physics / engineering papers (property-to-mechanism / design-to-performance arc).
  • review — reviews / perspectives / commentaries / meta-analyses (evidence-map arc).

State the detected value in one short line to the user before designing slides, so they can correct you cheaply.

3. Load the matching fragment

Read the file mapped for the detected paper_type. It gives the presentation arc and how to adapt the default slide structure for this type. Do not read every fragment in static/.

4. Build the deck using the loaded material

Apply the loaded fragments in this priority order:

  1. Core principles (core/principles.md) — the argument is the spine; lean operating mode; accepted inputs; Chinese-by-default language rule.
  2. Toolchain policy and fast path (core/toolchain.md) — cross-platform Python-first stack, default fast path.
  3. Paper-type arc (the loaded paper_type fragment) — narrative order and slide structure for this paper.
  4. Workflow (core/workflow.md) — run the 9 steps end to end.
  5. Output and quality rules (core/output-and-quality.md) — deliverables, quality gates, fallbacks.

Build the Terminology Ledger (../nature-shared/core/terminology-ledger.md) while reading the source, so model names, gene/protein names, datasets, metrics, and abbreviations stay identical across every slide and speaker note.

When a deck is requested, the end product is a real .pptx, not only an outline or script. Do not fabricate results, numbers, or figure details.

5. Reach for references only when needed

The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:

  • composing/auditing slide layout, visual rhythm, typography, anti-template design, archetypes, on-slide text budget → references/design-and-layout.md.
  • selecting, extracting, cropping, and quality-checking figure/table assets → references/figure-assets.md.
  • running the self-review/corrective revision loop, severity grading, programmatic PPTX checks, rendered-preview policy, and final verification → references/self-review.md.

When a real PPTX has been generated, run scripts/audit_pptx_quality.py unless the file is unavailable. Treat high-severity findings as blockers, revise the deck, then re-run the audit and record the final result in output/qa_report.md.

來源與署名

來源:yuan1z0825/nature-skills位於skills/nature-paper2ppt提交d5c8baa

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