docx
anthropics/claude-agent-sdk-demos · Agent Skill
建立、編輯和分析 .docx 檔案,保留格式、註釋和變更追蹤。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | anthropics/claude-agent-sdk-demos ↗ |
| 技能資料夾 | docx |
| 星 | 2,737 |
| 附帶檔案 | 2 |
| 授權 | 未標示 — 請向作者確認 |
| 最近更新 | 2026年1月7日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “docx” skill from mozgi.io (https://mozgi.io/skills/docx-anthropics/) for me. 1. Download the archive: https://mozgi.io/skills/docx-anthropics/download If it fails, take the skill folder from the source: https://github.com/anthropics/claude-agent-sdk-demos/tree/main/resume-generator/.claude/skills/docx 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “docx” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/docx/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/anthropics/claude-agent-sdk-demos.git /tmp/claude-agent-sdk-demos mkdir -p .claude/skills cp -r /tmp/claude-agent-sdk-demos/resume-generator/.claude/skills/docx .claude/skills/docx
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/docx。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/anthropics/claude-agent-sdk-demos.git /tmp/claude-agent-sdk-demos mkdir -p .agents/skills cp -r /tmp/claude-agent-sdk-demos/resume-generator/.claude/skills/docx .agents/skills/docx
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $docx 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/anthropics/claude-agent-sdk-demos.git /tmp/claude-agent-sdk-demos mkdir -p .cursor/skills cp -r /tmp/claude-agent-sdk-demos/resume-generator/.claude/skills/docx .cursor/skills/docx
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/anthropics/claude-agent-sdk-demos.git /tmp/claude-agent-sdk-demos mkdir -p .gemini/skills cp -r /tmp/claude-agent-sdk-demos/resume-generator/.claude/skills/docx .gemini/skills/docx
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀DOCX creation, editing, and analysis
Overview
A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.
Workflow Decision Tree
Reading/Analyzing Content
Use "Text extraction" or "Raw XML access" sections below
Creating New Document
Use "Creating a new Word document" workflow
Editing Existing Document
- Your own document + simple changes
Use "Basic OOXML editing" workflow
- Someone else's document
Use "Redlining workflow" (recommended default)
- Legal, academic, business, or government docs
Use "Redlining workflow" (required)
Reading and analyzing content
Text extraction
If you just need to read the text contents of a document, you should convert the document to markdown using pandoc. Pandoc provides excellent support for preserving document structure and can show tracked changes:
# Convert document to markdown with tracked changes
pandoc --track-changes=all path-to-file.docx -o output.md
# Options: --track-changes=accept/reject/all
Raw XML access
You need raw XML access for: comments, complex formatting, document structure, embedded media, and metadata. For any of these features, you'll need to unpack a document and read its raw XML contents.
Unpacking a file
python ooxml/scripts/unpack.py <office_file> <output_directory>
Key file structures
word/document.xml- Main document contentsword/comments.xml- Comments referenced in document.xmlword/media/- Embedded images and media files- Tracked changes use
<w:ins>(insertions) and<w:del>(deletions) tags
Creating a new Word document
When creating a new Word document from scratch, use docx-js, which allows you to create Word documents using JavaScript/TypeScript.
Workflow
1. MANDATORY - READ ENTIRE FILE: Read docx-js.md ↗ (~500 lines) completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for detailed syntax, critical formatting rules, and best practices before proceeding with document creation.
2. Create a JavaScript/TypeScript file using Document, Paragraph, TextRun components (You can assume all dependencies are installed, but if not, refer to the dependencies section below)
3. Export as .docx using Packer.toBuffer()
Editing an existing Word document
When editing an existing Word document, use the Document library (a Python library for OOXML manipulation). The library automatically handles infrastructure setup and provides methods for document manipulation. For complex scenarios, you can access the underlying DOM directly through the library.
Workflow
1. MANDATORY - READ ENTIRE FILE: Read ooxml.md ↗ (~600 lines) completely from start to finish. NEVER set any range limits when reading this file. Read the full file content for the Document library API and XML patterns for directly editing document files.
2. Unpack the document: python ooxml/scripts/unpack.py <office_file> <output_directory>
3. Create and run a Python script using the Document library (see "Document Library" section in ooxml.md)
4. Pack the final document: python ooxml/scripts/pack.py <input_directory> <office_file>
The Document library provides both high-level methods for common operations and direct DOM access for complex scenarios.
Redlining workflow for document review
This workflow allows you to plan comprehensive tracked changes using markdown before implementing them in OOXML. CRITICAL: For complete tracked changes, you must implement ALL changes systematically.
Batching Strategy: Group related changes into batches of 3-10 changes. This makes debugging manageable while maintaining efficiency. Test each batch before moving to the next.
Principle: Minimal, Precise Edits
When implementing tracked changes, only mark text that actually changes. Repeating unchanged text makes edits harder to review and appears unprofessional. Break replacements into: [unchanged text] + [deletion] + [insertion] + [unchanged text]. Preserve the original run's RSID for unchanged text by extracting the <w:r> element from the original and reusing it.
Example - Changing "30 days" to "60 days" in a sentence:
# BAD - Replaces entire sentence
'<w:del><w:r><w:delText>The term is 30 days.</w:delText></w:r></w:del><w:ins><w:r><w:t>The term is 60 days.</w:t></w:r></w:ins>'
# GOOD - Only marks what changed, preserves original <w:r> for unchanged text
'<w:r w:rsidR="00AB12CD"><w:t>The term is </w:t></w:r><w:del><w:r><w:delText>30</w:delText></w:r></w:del><w:ins><w:r><w:t>60</w:t></w:r></w:ins><w:r w:rsidR="00AB12CD"><w:t> days.</w:t></w:r>'
Tracked changes workflow
1. Get markdown representation: Convert document to markdown with tracked changes preserved:
```bash
pandoc --track-changes=all path-to-file.docx -o current.md
```
2. Identify and group changes: Review the document and identify ALL changes needed, organizing them into logical batches:
Location methods (for finding changes in XML):
- Section/heading numbers (e.g., "Section 3.2", "Article IV")
- Paragraph identifiers if numbered
- Grep patterns with unique surrounding text
- Document structure (e.g., "first paragraph", "signature block")
- DO NOT use markdown line numbers - they don't map to XML structure
Batch organization (group 3-10 related changes per batch):
- By section: "Batch 1: Section 2 amendments", "Batch 2: Section 5 updates"
- By type: "Batch 1: Date corrections", "Batch 2: Party name changes"
- By complexity: Start with simple text replacements, then tackle complex structural changes
- Sequential: "Batch 1: Pages 1-3", "Batch 2: Pages 4-6"
3. Read documentation and unpack:
- MANDATORY - READ ENTIRE FILE: Read
ooxml.md↗ (~600 lines) completely from start to finish. NEVER set any range limits when reading this file. Pay special attention to the "Document Library" and "Tracked Change Patterns" sections. - Unpack the document:
python ooxml/scripts/unpack.py <file.docx> <dir> - Note the suggested RSID: The unpack script will suggest an RSID to use for your tracked changes. Copy this RSID for use in step 4b.
4. Implement changes in batches: Group changes logically (by section, by type, or by proximity) and implement them together in a single script. This approach:
- Makes debugging easier (smaller batch = easier to isolate errors)
- Allows incremental progress
- Maintains efficiency (batch size of 3-10 changes works well)
Suggested batch groupings:
- By document section (e.g., "Section 3 changes", "Definitions", "Termination clause")
- By change type (e.g., "Date changes", "Party name updates", "Legal term replacements")
- By proximity (e.g., "Changes on pages 1-3", "Changes in first half of document")
For each batch of related changes:
a. Map text to XML: Grep for text in word/document.xml to verify how text is split across <w:r> elements.
b. Create and run script: Use get_node to find nodes, implement changes, then doc.save(). See "Document Library" section in ooxml.md for patterns.
Note: Always grep word/document.xml immediately before writing a script to get current line numbers and verify text content. Line numbers change after each script run.
5. Pack the document: After all batches are complete, convert the unpacked directory back to .docx:
```bash
python ooxml/scripts/pack.py unpacked reviewed-document.docx
```
6. Final verification: Do a comprehensive check of the complete document:
- Convert final document to markdown:
```bash
pandoc --track-changes=all reviewed-document.docx -o verification.md
```
- Verify ALL changes were applied correctly:
```bash
grep "original phrase" verification.md # Should NOT find it
grep "replacement phrase" verification.md # Should find it
```
- Check that no unintended changes were introduced
Converting Documents to Images
To visually analyze Word documents, convert them to images using a two-step process:
1. Convert DOCX to PDF:
```bash
soffice --headless --convert-to pdf document.docx
```
2. Convert PDF pages to JPEG images:
```bash
pdftoppm -jpeg -r 150 document.pdf page
```
This creates files like page-1.jpg, page-2.jpg, etc.
Options:
-r 150: Sets resolution to 150 DPI (adjust for quality/size balance)-jpeg: Output JPEG format (use-pngfor PNG if preferred)-f N: First page to convert (e.g.,-f 2starts from page 2)-l N: Last page to convert (e.g.,-l 5stops at page 5)page: Prefix for output files
Example for specific range:
pdftoppm -jpeg -r 150 -f 2 -l 5 document.pdf page # Converts only pages 2-5
Code Style Guidelines
IMPORTANT: When generating code for DOCX operations:
- Write concise code
- Avoid verbose variable names and redundant operations
- Avoid unnecessary print statements
Dependencies
Required dependencies (install if not available):
- pandoc:
sudo apt-get install pandoc(for text extraction) - docx:
npm install -g docx(for creating new documents) - LibreOffice:
sudo apt-get install libreoffice(for PDF conversion) - Poppler:
sudo apt-get install poppler-utils(for pdftoppm to convert PDF to images) - defusedxml:
pip install defusedxml(for secure XML parsing)
常見問題
docx 技能有什麼用途?
建立、編輯和分析 .docx 檔案,保留格式、註釋和變更追蹤。
如何安裝 docx?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
docx 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 docx 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
docx 是免費的嗎?
此技能由 anthropics 公開發布。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。儲存庫未標示授權 — 商業使用前請向作者確認條款。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。