--- name: pdf-ppt description: Create literature-report PPTX decks from PDF papers. Use when you must extract a paper’s metadata, summarize the study, interpret Results/Figures/Tables, and generate slides with 1:1 figure-to-text alignment and layout rules (triggered by requests like “PDF to PPT”, “literature report slides”, or “turn this paper into a presentation”). license: MIT author: AIPOCH --- > **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills) ## When to Use - Converting a research paper **PDF** into a **literature-report PPTX** with a standard academic slide structure (title → overview → results → conclusion). - When the user requires **figure-by-figure interpretation** (including subpanels) and strict **1:1 mapping** between each figure/table and slide content. - When you must work **offline-first** (no external API calls) to extract text, figures, legends, and tables from a PDF. - When the PPT must **match a provided layout script** (positions, aspect ratios, text boxes) and keep consistent styling across the deck. - When the output narration must be **professional Chinese**, concise, and technically accurate. ## Key Features - Offline-first PDF parsing to extract: - Title, journal, publication date, section text - Figure images and legends grouped by figure number - Tables and (optionally) graphical abstract - Full-paper summary in professional Chinese (background + key findings). - Results interpretation aligned **per figure/subfigure**, avoiding vague references. - PPTX generation with: - Fixed slide structure (Title / Overview / Figure slides / Final summary) - Layout constraints matching a v5-style deck (coordinates, font sizes) - Consistent panel-label styling and per-deck label color - Per-figure slide “Summary:” one-liner - Integration guidance for PPTX editing via `D:\\SKILL\\project\\PPTX\\SKILL.md`. ## Dependencies - Local offline parsing workflow: `references/offline-parsing.md` (version: N/A, repository-local) - Figure/table interpretation rules: `references/figure-interpretation.md` (version: N/A, repository-local) - PPTX creation/editing skill: `D:\\SKILL\\project\\PPTX\\SKILL.md` (version: N/A, local path) - Optional local mapping file: `figure_titles_zh.txt` (version: N/A, user/project-provided) ## Example Usage ### Input (user request) > Please convert this paper PDF into a literature-report PPT. > Requirements: interpret each figure, keep figure-to-text alignment, and follow the v5 layout rules. ### Expected Workflow Output (offline-first → structured → PPTX) 1. **Offline parse the PDF** (no external APIs), following `references/offline-parsing.md`, and produce a local structured package: - Cleaned metadata text: title, journal/date, headings - Figure legends grouped by figure number - Extracted images named: - `Figure_1.jpg`, `Figure_2.jpg`, ... - Graphical abstract image (if present) - Draft `explication.json` aligned to figure order 2. **Write Chinese content**: - Full-paper summary (background + key findings) - Figure-by-figure Results interpretation (purpose → method → object → outcome) - Concise critical appraisal (core contributions + internal limitations) 3. **Generate PPTX** with the required slide structure and layout constraints: - Slide 1: Title + metadata (journal/date/presenter/report date) - Slide 2: Overview (two text boxes; graphical abstract if present) - Middle slides: one slide per figure/table in original order - Final slide: overall summary + critical appraisal ### Minimal runnable “deck plan” (content-to-slide mapping) ```json { "deck_style": { "language": "zh-CN", "panel_label_color": "#065A82", "transition_preset": "fade", "entrance_preset": "appear" }, "slides": [ { "type": "title", "title": "", "meta": { "journal": "", "publication_date": "", "presenter": "XXX", "report_date": "" } }, { "type": "overview", "background": "", "findings": "", "graphical_abstract": "Graphical_Abstract.jpg" }, { "type": "figure", "figure_id": "Figure_1", "title": "Figure 1: ", "image": "Figure_1.jpg", "body_zh": [ "**A** ...", "**B** ...", "**Summary:** ..." ] }, { "type": "final_summary", "core_highlights": ["..."], "internal_limitations": ["..."] } ] } ``` ## Implementation Details ### 1) Offline-first PDF collection (must not call external APIs) Follow `references/offline-parsing.md` and produce a local structured output containing: - Cleaned text fields: - `title`, `journal`, `publication_date` - section headings and key paragraphs (abstract/intro/results) - Figures: - images exported and named `Figure_1.jpg`, `Figure_2.jpg`, ... - legends grouped by figure number - Tables: - extracted table content and captions (as text or images, depending on the workflow) - Graphical abstract: - capture image and approximate placement if present - Draft `explication.json`: - ordered by figure appearance - each entry links legend → image filename → planned slide text blocks Ignore supplementary items (e.g., `Figure S1`) unless explicitly requested. ### 2) Figure/table interpretation rules (Chinese, precise, aligned) Use `references/figure-interpretation.md` and enforce: - **1:1 mapping**: every figure/table must be covered by exactly one corresponding slide section (or one slide if required). - Each result paragraph must be complete: - experimental purpose → method → object → concrete outcome (increase/decrease, up/down, etc.) - Avoid vague phrases like “as shown in the figure”. - Remove any leading `#` markers from figure body lines. - Bold leading panel labels and ranges: - `A`, `A, B`, `A-C` → `**A**`, `**A, B**`, `**A-C**` - Add a one-sentence line at the end of each figure slide: - `**Summary:** ` - Style “Summary” like panel labels (bold + label color) ### 3) Figure titles and localization - Slide titles should use: `Figure X:
` when a title can be extracted (e.g., from “Figure 1. ...”). - Convert figure titles to Chinese when possible. - Prefer a local mapping file `figure_titles_zh.txt` if available: - Format: `Figure_1Chinese Title` ### 4) Consistent per-deck styling parameters - Panel label color: randomly choose **one** per deck from: - `#2C5F2D`, `#F96167`, `#065A82`, `#990011` - Apply the same chosen color across all slides. - Animations: - Randomly choose one slide transition preset and one entrance preset per deck - Keep them consistent across all slides - Reveal order: title → text → image ### 5) PPT layout constraints (Match v5 slides) If a user-provided layout script is accessible, follow it. Otherwise, use the following fixed coordinates (inches) and typography: - **Title slide** - Title box: `(2.0825, 1.796, 9.1683, 1.2)`, 32pt bold, centered - Metadata block (left = 4.8673, width = 6.0, height = 0.6): - Journal: top `4.5049`, 18pt - Presenter/date: top `5.2327` and `5.9049`, 16pt - **Overview slide** - Background box: `(0.6, 0.6, 5.8, 6.2)` - Findings box: `(0.6, 3.4, 5.8, 3.4)` - Image: `(7.0, 0.8, 5.8, 5.6)` - **Figure slides** - Title: `(0.6, 0.2, 12.0, 0.6)`, 22pt bold - Text box: `(0.7749, 1.5102, 4.7498, 2.861)`, 14pt - Image: `(7.0, 1.0, 5.8, 5.8)` - **Summary slide** - Add borders - “Core Highlights” box: `(0.6, 0.6, 5.8, 3.0)` - “Internal Limitations” box: `(6.7, 3.9, 6.0, 3.0)` ### 6) PPTX editing integration When creating or editing a `.pptx`, also follow the PPTX editing guidelines in: - `D:\\SKILL\\project\\PPTX\\SKILL.md` --- Source attribution: aipoch Original project: https://github.com/aipoch/medical-research-skills License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: aipoch Original project: https://github.com/aipoch/medical-research-skills Attribution basis: Upstream repository explicitly recorded in package mirror path Fields of work: Education & Research, Marketing Roles: Academic Writer, Content Marketer, Researcher Specialties: PowerPoint Tools: Microsoft PowerPoint, Pdf Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 6b0a1efd699d014859c0b6fa0bd1dce10976de8850f2a4f8c0438c236367c0a2