Token导航 LogoToken导航TokenDH.com
前端设计只读github未标认证来源可访问clear审计通过

markdown-toolsMarkdown tools 文档

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

4,097

周安装

169

GitHub Stars

956

下载量

1,338
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:markdown-tools(Markdown tools 文档)
来源仓库:https://github.com/daymade/claude-code-skills
仓库路径:skills/markdown-tools
安装命令:
npx skills add https://github.com/daymade/claude-code-skills --skill markdown-tools
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/daymade/claude-code-skills --skill markdown-tools

简介

集成多种 Markdown 实用工具链,提升写作效率。

  • 包含拼写检查、字数统计与导出选项等基础功能集合。
  • 所有操作均在本地执行,无需上传敏感内容至第三方服务器。
  • 工具组合使用时应注意参数冲突,建议分步执行复杂任务。
  • markdown-tools 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Markdown Tools

Convert documents to high-quality markdown with intelligent multi-tool orchestration.

Dual Mode Architecture

ModeSpeedQualityUse Case
Quick (default)FastGoodDrafts, simple documents
HeavySlowerBestFinal documents, complex layouts

Quick Start

Installation

# Required: PDF/DOCX/PPTX support
uv tool install "markitdown[pdf]"
pip install pymupdf4llm
brew install pandoc

Basic Conversion

# Quick Mode (default) - fast, single best tool
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.pdf -o output.md

# Heavy Mode - multi-tool parallel execution with merge
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.pdf -o output.md --heavy

# Check available tools
uv run scripts/convert.py --list-tools

Tool Selection Matrix

FormatQuick Mode ToolHeavy Mode Tools
PDFpymupdf4llmpymupdf4llm + markitdown
DOCXpandocpandoc + markitdown
PPTXmarkitdownmarkitdown + pandoc
XLSXmarkitdownmarkitdown

Tool Characteristics

  • pymupdf4llm: LLM-optimized PDF conversion with native table detection and image extraction
  • markitdown: Microsoft's universal converter, good for Office formats
  • pandoc: Excellent structure preservation for DOCX/PPTX

Heavy Mode Workflow

Heavy Mode runs multiple tools in parallel and selects the best segments:

  1. Parallel Execution: Run all applicable tools simultaneously
  2. Segment Analysis: Parse each output into segments (tables, headings, images, paragraphs)
  3. Quality Scoring: Score each segment based on completeness and structure
  4. Intelligent Merge: Select best version of each segment across tools

Merge Criteria

Segment TypeSelection Criteria
TablesMore rows/columns, proper header separator
ImagesAlt text present, local paths preferred
HeadingsProper hierarchy, appropriate length
ListsMore items, nested structure preserved
ParagraphsContent completeness

Image Extraction

# Extract images with metadata
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf -o ./assets

# Generate markdown references file
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf --markdown refs.md

Output:

  • Images: assets/img_page1_1.png, assets/img_page2_1.jpg
  • Metadata: assets/images_metadata.json (page, position, dimensions)

Quality Validation

# Validate conversion quality
uv run --with pymupdf scripts/validate_output.py document.pdf output.md

# Generate HTML report
uv run --with pymupdf scripts/validate_output.py document.pdf output.md --report report.html

Quality Metrics

MetricPassWarnFail
Text Retention>95%85-95%<85%
Table Retention100%90-99%<90%
Image Retention100%80-99%<80%

Merge Outputs Manually

# Merge multiple markdown files
python scripts/merge_outputs.py output1.md output2.md -o merged.md

# Show segment attribution
python scripts/merge_outputs.py output1.md output2.md -o merged.md --verbose

Path Conversion (Windows/WSL)

# Windows → WSL conversion
python scripts/convert_path.py "C:\Users\name\Documents\file.pdf"
# Output: /mnt/c/Users/name/Documents/file.pdf

Common Issues

"No conversion tools available"

# Install all tools
pip install pymupdf4llm
uv tool install "markitdown[pdf]"
brew install pandoc

FontBBox warnings during PDF conversion

  • Harmless font parsing warnings, output is still correct

Images missing from output

  • Use Heavy Mode for better image preservation
  • Or extract separately with scripts/extract_pdf_images.py

Tables broken in output

  • Use Heavy Mode - it selects the most complete table version
  • Or validate with scripts/validate_output.py

Bundled Scripts

ScriptPurpose
convert.pyMain orchestrator with Quick/Heavy mode
merge_outputs.pyMerge multiple markdown outputs
validate_output.pyQuality validation with HTML report
extract_pdf_images.pyPDF image extraction with metadata
convert_path.pyWindows to WSL path converter

References

  • references/heavy-mode-guide.md - Detailed Heavy Mode documentation
  • references/tool-comparison.md - Tool capabilities comparison
  • references/conversion-examples.md - Batch operation examples

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.27%
按下载量换算405

OpenCode

23.6%
按下载量换算316

Antigravity

16.87%
按下载量换算226

Codex

12.92%
按下载量换算173

Gemini CLI

7.39%
按下载量换算99

Cursor

3.55%
按下载量换算47

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

继续浏览同类 Skills