メニュー
Process and generate Word documents (DOCX) programmatically. Use when creating reports, extracting text from documents, or automating document generation in data pipelines.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Produce .pptx architecture presentations (title, context, component, sequence, deployment slides) with python-pptx. Use when the user asks for an architecture deck, solution presentation, design review slides, or any .pptx deliverable about a system design.
Produce .docx Solution Architecture Documents (SAD) with python-docx — context, requirements, views, decisions, NFRs. Use when the user asks for an architecture document, solution design document, HLD/LLD, or any .docx deliverable describing a system design.
Author Mermaid diagrams for architecture work — C4 context/container/component, sequence, deployment, flowchart, and state diagrams with copy-paste examples and CLI validation. Use when the user wants a text-based diagram, a diagram embedded in Markdown, or a quick architecture sketch.
Create production-grade frontend interfaces when backend services need admin panels, dashboards, or API documentation UIs. Use when building web interfaces for backend services.
Process multimedia files with FFmpeg and ImageMagick for encoding, conversion, and manipulation. Use when working with video, audio, or image processing pipelines.
Template for creating new skills. Copy this directory and customize for your specific use case.
| name | document-skills-docx |
| description | Process and generate Word documents (DOCX) programmatically. Use when creating reports, extracting text from documents, or automating document generation in data pipelines. |
Activate this skill when working with Microsoft Word documents in Python.
from docx import Document
# Create report
doc = Document()
doc.add_heading("Analysis Report", level=0)
doc.add_paragraph(f"Generated: {datetime.now()}")
doc.add_table(rows=len(data)+1, cols=len(columns))
doc.save("report.docx")
# Extract content
doc = Document("input.docx")
for para in doc.paragraphs:
print(para.text)