Token导航 LogoToken导航

Agent Skill · 研究检索

docx-official(DOCX official 搜索)

docx-official 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

docx-official 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 16,489。

总安装 7,170周安装 308GitHub Stars 35,720下载 2,513核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docx-official(DOCX official 搜索)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/docx-official
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill docx-official
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill docx-official

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供 .docx 文件读写与分析方案,支持 ZIP 解包与 XML 直接编辑。区分新建文档与修改现有文件两种 workflow,选择合适工具链。包含文本提取、表格处理与 OOXML 编辑等核心操作模式。通过 GitHub 安装,建议先解压样本文件理解内部结构再动手操作。

docx-official 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/docx-official

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill doc…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

docx-official 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill docx-official。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

docx-official 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

docx-official 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

docx-official 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

docx-official 用的人多吗?

公开数据是累计安装 7,170 次,近一周安装 308 次,下载 2,513 次,GitHub 35,720 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

docx-official 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 35,720 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
docx-official

DOCX official 搜索 · 本页

7,17035,720需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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 contents
  • word/comments.xml - Comments referenced in document.xml
  • word/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: 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): Batch organization (group 3-10 related changes per batch):

- 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 - 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"

  1. 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.

  1. Implement changes in batches: Group changes logically (by section, by type, or by proximity) and implement them together in a single script. This approach: Suggested batch groupings: 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.

- Makes debugging easier (smaller batch = easier to isolate errors) - Allows incremental progress - Maintains efficiency (batch size of 3-10 changes works well) - 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")

  1. Pack the document: After all batches are complete, convert the unpacked directory back to.docx: python ooxml/scripts/pack.py unpacked reviewed-document.docx
  2. Final verification: Do a comprehensive check of the complete document:

- Convert final document to markdown: pandoc --track-changes=all reviewed-document.docx -o verification.md - Verify ALL changes were applied correctly: 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: soffice --headless --convert-to pdf document.docx
  2. Convert PDF pages to JPEG images: 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 -png for PNG if preferred)
  • -f N: First page to convert (e.g., -f 2 starts from page 2)
  • -l N: Last page to convert (e.g., -l 5 stops 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)

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Codex

37.79%
按下载量换算950

Claude

30.98%
按下载量换算779

Cursor

19.93%
按下载量换算501

Gemini CLI

8.77%
按下载量换算220

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills