About word-formatter
word-formatter is a document-formatting skill for turning DOCX, TXT, or Markdown drafts into styled Word and PDF files. It analyzes document type, lets the user choose how much to restructure, and can add charts or illustrations.
Key features
- 01Document type and content analysis
- 02Three levels of editing
- 03Business, modern, and academic styles
- 04Charts and illustration planning
- 05DOCX and PDF output
Use cases
- 01Cleaning up meeting notes or reports
- 02Turning drafts into styled Word files
- 03Adding charts to data-heavy documents
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ didixuxu/ didi-skills --skill word-formatterAfter installing, type/word-formatterin Claude Code to confirm it loaded.
Bundled filesformatter.pystyles/styles.json
Details
From the project READMEWord Formatter
Transform messy documents into professionally formatted Word/PDF files with intelligent layout and auto-generated images.
When to Use
- User provides a Word document (.docx) or text file needing cleanup
- Request to "format", "beautify", "reorganize" a document
- Need to add visuals/charts to plain text content
- Converting notes/drafts into professional documents
Workflow
1. Analyze Document → 2. User Chooses Level → 3. Format → 4. Generate Images → 5. Output
Step 1: Analyze Document
Read the input file and detect:
# Content type detection keywords
CONTENT_TYPES = {
"meeting_notes": ["会议", "议程", "参会", "决议", "行动项", "meeting", "agenda"],
"report": ["报告", "总结", "分析", "数据", "report", "analysis", "summary"],
"study_notes": ["笔记", "学习", "知识点", "概念", "notes", "learning"],
"proposal": ["方案", "计划", "目标", "预算", "proposal", "plan", "budget"]
}
# Style mapping
STYLE_MAP = {
"meeting_notes": "business_formal",
"report": "business_formal",
"study_notes": "modern_minimal",
"proposal": "academic"
}
Present analysis to user:
检测结果:
- 文档类型: [类型]
- 建议风格: [风格]
- 字数: [X] 字
- 检测到数据: [是/否]
Step 2: User Chooses Processing Level
Ask user to select:
| 级别 | 说明 |
|---|---|
| 仅排版 | 保持原文内容,只调整格式样式 |
| 轻度重组 | 添加小标题、调整段落、补充过渡 |
| 深度重构 | 可重写内容、优化表达、补充逻辑 |
Step 3: Apply Formatting
Style Definitions
Business Formal (商务正式):
BUSINESS_STYLE = {
"title_font": "Microsoft YaHei",
"title_size": 22,
"heading1_size": 16,
"heading2_size": 14,
"body_size": 11,
"line_spacing": 1.5,
"colors": {
"primary": "#1a365d", # Deep blue
"accent": "#2b6cb0", # Medium blue
"text": "#2d3748" # Dark gray
}
}
Modern Minimal (简约现代):
MODERN_STYLE = {
"title_font": "PingFang SC",
"title_size": 24,
"heading1_size": 18,
"heading2_size": 14,
"body_size": 11,
"line_spacing": 1.8,
"colors": {
"primary": "#1a202c", # Near black
"accent": "#4a5568", # Gray
"text": "#2d3748"
}
}
Academic (学术风格):
ACADEMIC_STYLE = {
"title_font": "SimSun",
"title_size": 18,
"heading1_size": 15,
"heading2_size": 13,
"body_size": 12,
"line_spacing": 1.5,
"colors": {
"primary": "#1a202c",
"accent": "#4a5568",
"text": "#000000"
}
}
Document Structure
def structure_document(content, level):
"""
Structure document based on processing level
"""
if level == "format_only":
# Keep original structure, apply styles
return apply_styles(content)
elif level == "light_restructure":
# Add headings, reorder paragraphs, add transitions
sections = detect_sections(content)
sections = add_subheadings(sections)
sections = add_transitions(sections)
return apply_styles(sections)
elif level == "deep_restructure":
# Rewrite unclear parts, add logic, improve flow
sections = detect_sections(content)
sections = rewrite_unclear(sections)
sections = add_missing_logic(sections)
sections = optimize_expression(sections)
return apply_styles(sections)
Step 4: Generate Images
Image Decision Logic
def decide_images(content):
"""
Decide what images to generate based on content
"""
images = []
# Check for data → Charts
if contains_data(content):
data_sections = extract_data(content)
for section in data_sections:
chart_type = suggest_chart_type(section)
images.append({
"type": "chart",
"chart_type": chart_type,
"data": section
})
# Check for concepts → AI illustrations
concepts = extract_key_concepts(content)
if concepts:
images.append({
"type": "illustration",
"concept": concepts[0],
"style": get_document_style()
})
# Add cover image
images.append({
"type": "cover",
"title": get_document_title(content),
"style": get_document_style()
})
return images
Chart Generation
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams['font.sans-serif'] = ['PingFang SC', 'Microsoft YaHei']
def generate_chart(data, chart_type, style):
"""
Generate chart matching document style
"""
colors = style["colors"]
fig, ax = plt.subplots(figsize=(10, 6))
if chart_type == "bar":
ax.bar(data["labels"], data["values"], color=colors["primary"])
elif chart_type == "pie":
ax.pie(data["values"], labels=data["labels"],
colors=[colors["primary"], colors["accent"], "#e2e8f0"])
elif chart_type == "line":
ax.plot(data["x"], data["y"], color=colors["primary"], linewidth=2)
ax.set_title(data["title"], fontsize=14, color=colors["text"])
return fig
AI Illustration Generation
Use the generate-image skill:
Prompt template for business style:
"Professional business illustration of [concept],
flat design, corporate blue color scheme,
minimalist, clean background, vector style"
Prompt template for modern style:
"Modern minimalist illustration of [concept],
geometric shapes, black and white with accent color,
clean lines, abstract, professional"
Prompt template for academic style:
"Educational diagram illustrating [concept],
clean and simple, textbook style,
labeled components, neutral colors"
Image Confirmation
Present image plan to user:
配图方案:
1. 封面图: [主题描述]
2. 数据图表: [图表类型] - [数据来源段落]
3. 概念插图: [概念名称]
请选择:
A) 全部生成
B) 部分修改 (请指定)
C) 跳过配图
Step 5: Output Files
Generate Word Document
from docx import Document
from docx.shared import Pt, Inches, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
def create_word_document(content, images, style):
doc = Document()
# Set page margins
for section in doc.sections:
section.top_margin = Inches(1)
section.bottom_margin = Inches(1)
section.left_margin = Inches(1.25)
section.right_margin = Inches(1.25)
# Add cover image if exists
if images.get("cover"):
doc.add_picture(images["cover"], width=Inches(6))
doc.add_page_break()
# Add content with styles
for element in content:
if element["type"] == "title":
p = doc.add_heading(element["text"], level=0)
p.alignment = WD_ALIGN_PARAGRAPH.CENTER
elif element["type"] == "heading1":
doc.add_heading(element["text"], level=1)
elif element["type"] == "heading2":
doc.add_heading(element["text"], level=2)
elif element["type"] == "paragraph":
p = doc.add_paragraph(element["text"])
p.paragraph_format.line_spacing = style["line_spacing"]
elif element["type"] == "image":
doc.add_picture(element["path"], width=Inches(5))
return doc
Convert to PDF
# Using LibreOffice (cross-platform)
libreoffice --headless --convert-to pdf --outdir [output_dir] [docx_file]
# Or using docx2pdf (requires MS Word on Windows/Mac)
# pip install docx2pdf
from docx2pdf import convert
def export_pdf(docx_path):
pdf_path = docx_path.replace('.docx', '.pdf')
convert(docx_path, pdf_path)
return pdf_path
Output Naming
def get_output_paths(input_path):
base = os.path.splitext(input_path)[0]
return {
"docx": f"{base}_formatted.docx",
"pdf": f"{base}_formatted.pdf"
}
Complete Interaction Flow
User: /word-formatter /path/to/messy_document.docx
Claude: 正在分析文档...
检测结果:
- 文档类型: 工作报告
- 建议风格: 商务正式
- 字数: 2,350 字
- 检测到数据: 是 (3处数据可视化)
请选择处理程度:
A) 仅排版 - 保持原文,调整格式
B) 轻度重组 - 添加小标题,优化结构
C) 深度重构 - 可重写内容,优化表达
User: B
Claude: 好的,将进行轻度重组。正在处理...
配图方案:
1. 封面图: 商务风格的工作报告封面
2. 柱状图: 季度销售数据对比
3. 饼图: 市场份额分布
4. 概念插图: 增长策略示意图
请选择:
A) 全部生成
B) 部分修改
C) 跳过配图
User: A
Claude: 正在生成配图...
[生成图片中...]
完成!输出文件:
- /path/to/messy_document_formatted.docx
- /path/to/messy_document_formatted.pdf
需要调整吗?
Dependencies
# Required Python packages
pip install python-docx matplotlib docx2pdf pillow
# For PDF conversion (alternative to docx2pdf)
# macOS: brew install --cask libreoffice
# Ubuntu: sudo apt install libreoffice
Error Handling
| 错误 | 处理方式 |
|---|---|
| 文件不存在 | 提示用户检查路径 |
| 格式不支持 | 仅支持 .docx, .txt, .md |
| 图片生成失败 | 跳过该图片,继续处理 |
| PDF转换失败 | 仅输出Word,提示安装依赖 |
Tips
- 输入文档越结构化,排版效果越好
- 深度重构模式下,Claude会尝试改善文档逻辑
- 配图会自动匹配文档风格的配色方案
- 可以多次调用进行迭代优化
Comments
Markdown supported