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camscanner-pdf2markdown-officecamscanner pdf2markdown office 控制

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

2,982

周安装

123

GitHub Stars

公开资料未说明

下载量

974
OpenClaw

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

2

许可证

MIT-0

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:camscanner-pdf2markdown-office(camscanner pdf2markdown office 控制)
来源仓库:https://github.com/camscanner-ai/camscanner-pdf2markdown-office
安装命令:
openclaw skills install camscanner-pdf2markdown-office
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install camscanner-pdf2markdown-office

简介

用于辅助文档、Markdown 和内容稿件的整理与改写。

  • 适合让 Agent 提炼结构、补齐章节或统一术语。
  • 支持将 PDF 文档转换为 Markdown 格式,智能分解段落。
  • 使用时需保留项目已有事实和路径,避免错误结论。camscanner-pdf2markdown-office 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 涉及对外文案时应控制语气,避免过度营销或夸大能力。

SKILL.md

name
camscanner-pdf2markdown
description
Use CamScanner to convert PDF documents to Markdown format, powered by a high-precision document parsing engine that intelligently decomposes paragraphs, precisely recognizes tables and multiple element types, and outputs structured results in reading order, empowering large language models to accurately understand document content. Use when the user wants to convert PDF files to Markdown, extract content, summarize, or process PDFs. Triggers on "PDF to Markdown", "convert PDF to md", "extract PDF content as Markdown", or when the user has a PDF and needs it as Markdown for further editing or processing.
metadata
author
CamScanner
version
1.0
openclaw
emoji
📄
requires
bins
["curl", "jq"]
homepage
https://www.camscanner.com

CamScanner PDF to Markdown

Overview

CamScanner provides a high-precision document parsing engine that converts PDF documents to Markdown format. It intelligently decomposes document paragraphs, precisely recognizes tables and multiple element types, and outputs structured results in reading order — empowering large language models to accurately understand document content. The workflow is a 3-step pipeline: upload the PDF, convert it, then download the result.

When to Use

  • User wants to convert a PDF to Markdown
  • User wants to extract text/content from a PDF as Markdown
  • User has a PDF and needs it as Markdown for further editing or processing

Privacy & Data

Important: Privacy & Data Flow Notice - Third-party service: This skill sends your files to CamScanner's official servers (ai-tools.camscanner.com) for processing. - Data retention: CamScanner servers process your files in real-time. Files are not permanently stored on the server. - Local files: Output files are saved to your local filesystem at the path you specify.

API Reference

Base URL: https://ai-tools.camscanner.com

Supported Conversions

source_typetarget_typeOutput
pdfmd.md

Step 1: Upload PDF

BASE="https://ai-tools.camscanner.com"

IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@/path/to/document.pdf" | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "upload_file",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857600_ab12cd34ef56",
      "size": 24576
    }
  }
}

Step 2: Convert PDF to Markdown

OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/convert_pdf/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"source_type\":\"pdf\",\"target_type\":\"md\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "convert_pdf",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857701_9988aabbccdd",
      "target_type": "md"
    }
  }
}

Step 3: Download Result

curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o /path/to/output.md

Critical: The response_mode=raw query parameter is required to get the binary file. Without it, the response is JSON.

Quick Reference: Complete Pipeline

BASE="https://ai-tools.camscanner.com"
INPUT_PDF="/path/to/document.pdf"
OUTPUT_FILE="/path/to/output.md"

# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@$INPUT_PDF" | jq -r '.tool_result.data.file_id')

# Convert
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/convert_pdf/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"source_type\":\"pdf\",\"target_type\":\"md\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

# Download
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o "$OUTPUT_FILE"

Common Mistakes

MistakeFix
Forgetting response_mode=raw on downloadAlways append ?response_mode=raw to the download URL
Wrong Content-Type on uploadUpload uses application/octet-stream, not multipart/form-data
Using GET instead of POSTAll three endpoints use POST
Missing source_type in convert requestAlways include "source_type": "pdf"
Missing output_mode in convert requestAlways include "output_mode": "file_id" to get a downloadable file_id

Error Handling

Check each step before proceeding:

# After upload
if [ -z "$IN_FILE_ID" ] || [ "$IN_FILE_ID" = "null" ]; then
  echo "Upload failed"; exit 1
fi

# After convert
if [ -z "$OUT_FILE_ID" ] || [ "$OUT_FILE_ID" = "null" ]; then
  echo "Conversion failed"; exit 1
fi

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

89.5%
按下载量换算872

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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