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dev-pptx-to-md
PPTX to Markdown 转换。Use when (1) 将 .pptx 转换为 .md, (2) 提取 PPT 内容和截图, (3) 需求文档/修改事项 PPTX 解析, (4) 包含标注截图的 PPTX 处理, (5) 批量转换演示文稿
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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PPTX to Markdown 转换。Use when (1) 将 .pptx 转换为 .md, (2) 提取 PPT 内容和截图, (3) 需求文档/修改事项 PPTX 解析, (4) 包含标注截图的 PPTX 处理, (5) 批量转换演示文稿
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
专业的AI Agent(AI Agents)顾问助手,探索 AI Agent 框架和应用。当用户询问以下问题时使用:(1) 技术选型和对比 (2) 使用指南和最佳实践 (3) 问题诊断和解决 (4) 资源推荐 (5) 常见问题解答
Comprehensive CV learning assistant. Use when studying image processing, object detection, segmentation, or any CV tasks. Helps with algorithm understanding, implementation, and model optimization.
Comprehensive DL learning assistant. Use when studying neural networks, CNN, RNN, LSTM, Transformer, or any DL architectures. Helps with network design, training strategies, debugging, and optimization techniques.
Comprehensive LLM learning assistant. Use when studying transformer architecture, attention mechanisms, pre-training, fine-tuning, or prompt engineering. Helps with understanding LLM principles and practical applications.
Comprehensive ML learning assistant. Use when studying supervised learning, unsupervised learning, regression, classification, clustering, or any ML concepts. Helps with algorithm understanding, implementation guidance, model evaluation, and practical applications.
Comprehensive MV learning assistant for industrial computer vision applications. Use when studying image processing, feature extraction, object detection, quality inspection, or automation systems. Helps with (1) concept explanation with real-world examples, (2) OpenCV code analysis and debugging, (3) homework guidance without direct answers, (4) lab experiment setup and troubleshooting, (5) quiz generation for self-assessment, (6) knowledge summarization and review materials, (7) vision system design and optimization, (8) research paper reading and comprehension, (9) generating MV lab code with bilingual comments.
| name | dev-pptx_to_md |
| description | PPTX to Markdown 转换。Use when (1) 将 .pptx 转换为 .md, (2) 提取 PPT 内容和截图, (3) 需求文档/修改事项 PPTX 解析, (4) 包含标注截图的 PPTX 处理, (5) 批量转换演示文稿 |
This skill chains two existing skills in sequence:
PPTX → [dev-pptx_to_pdf] → PDF → [dev-pdf_processing] → Markdown (with page images + text)
Use the dev-pptx_to_pdf skill script:
python .agent/skills/dev-pptx_to_pdf/scripts/convert_single.py <input.pptx> [output.pdf] [--method windows|libreoffice]
comtypes--method libreofficeSee: .agent/skills/dev-pptx_to_pdf/SKILL.md for full details.
Use the dev-pdf_processing skill script:
python .agent/skills/dev-pdf_processing/scripts/pdf_to_image_md.py <input.pdf> [output.md] [--dpi 200]
This creates:
{stem}_pages/ — directory of page images (PNG){stem}.md — markdown with embedded image links + extracted textSee: .agent/skills/dev-pdf_processing/SKILL.md for full details.
If you only need text (no screenshots), use python-pptx directly:
from pptx import Presentation
prs = Presentation("input.pptx")
for i, slide in enumerate(prs.slides, 1):
print(f"=== Slide {i} ===")
for shape in slide.shapes:
if hasattr(shape, "text") and shape.text.strip():
print(shape.text)
For this project's requirements documents (창업톡 수정사항 series), the output markdown follows this format:
# Document Title
**Source:** `filename.pptx`
**Total Pages:** N
**Format:** Page Image + OCR Text
---
## Page 1
### 📷 Page Image

### 📝 Text Content
(extracted text)
### ✍️ Notes
> **需求 #1**: (需求描述)
> **原文**: (Korean original text)
> **翻译**: (Chinese translation)
> **实施**: ⬜ 未开始
> **优先级**: 高/中/低
After generating the raw markdown, manually annotate each page's ### ✍️ Notes:
{stem}_截图版.mddocs/requirements/archived/bug_fix_2026-02-01/창업톡_수정사항_260130_截图版.mddev-pptx_to_pdf — Step 1: PPTX → PDF conversiondev-pdf_processing — Step 2: PDF → page images + markdowndev-docx_to_md — Word document to Markdown conversiondev-translation — Bilingual content translation