Token导航 LogoToken导航TokenDH.com
开发需要联网github未标认证来源可访问许可证需确认审计提醒

pdf-to-markdownPDF TO Markdown 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

1,797

周安装

72

GitHub Stars

10

下载量

582
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

2

许可证

unknown

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:pdf-to-markdown(PDF TO Markdown 控制)
来源仓库:https://github.com/pspdfkit-labs/nutrient-skills
仓库路径:skills/pdf-to-markdown
安装命令:
npx skills add https://github.com/pspdfkit-labs/nutrient-skills --skill pdf-to-markdown
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/pspdfkit-labs/nutrient-skills --skill pdf-to-markdown

简介

pdf-to-markdown 用于辅助文档、README 和 Markdown 内容的整理与改写,提升内容可读性。

  • 适合提炼结构、补齐章节、统一术语或整合零散材料为规范文档。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 使用时应保留已有事实,避免虚构结论;对外文案需控制语气,防止夸大能力。
  • 建议结合项目实际路径和命令参数进行核验与应用。

SKILL.md

PDF to Markdown

Convert PDFs into structured, semantic Markdown that preserves the document's logical structure — headings, tables, lists, and reading order — rather than producing flat text. This is significantly higher quality than reading a PDF directly with the read tool, which only extracts raw text without structure.

Usage

Before running any commands, set SKILL_DIR to the absolute path of the directory containing this SKILL.md file. Use $SKILL_DIR/bin/pdf-to-markdown in all commands below.

The $SKILL_DIR/bin/pdf-to-markdown wrapper automatically installs the platform-specific binary into ~/.local/share/nutrient/cli/ from the CDN. It caches the binary and only checks for updates every 6 hours, so subsequent runs are fast.

Single file

$SKILL_DIR/bin/pdf-to-markdown INPUT.pdf OUTPUT.md

If OUTPUT.md is omitted, the converter writes the Markdown to stdout instead.

Batch directory (2+ files)

For multiple files, pass directories instead of individual files. The converter processes all PDFs in the input directory in parallel, which is much faster than converting one at a time.

$SKILL_DIR/bin/pdf-to-markdown INPUT_DIR/ OUTPUT_DIR/

Image export

To extract images from the PDF and reference them in the output Markdown, add the --enable-image-export flag:

$SKILL_DIR/bin/pdf-to-markdown --enable-image-export INPUT.pdf OUTPUT.md

Images are saved to {output}_resources/ alongside the output file and referenced as standard Markdown image links. This is useful when feeding output to LLMs that support vision, or when image context improves downstream accuracy. Off by default because it increases processing time for image-heavy documents.

Workflow

  1. Choose mode: Use batch directory mode for 2+ files, single file mode otherwise.
  2. Run the converter: $SKILL_DIR/bin/pdf-to-markdown INPUT [OUTPUT]
  3. Check the exit code: Exit 0 means success. On failure, read stderr for the error message.
  4. Validate the output: If the output file is empty or near-empty, see Troubleshooting below.
  5. Report the output path: Tell the user where the converted file(s) are. Do NOT read the markdown back into context by default — converted documents can be very large and will fill the context window. Only read the output if the user's task specifically requires analyzing or summarizing the content (e.g., "summarize this PDF", "what does this contract say about X").

Troubleshooting

  • Empty or minimal output: The PDF may be scanned/image-only and contains no extractable text.
  • Non-zero exit code: Read stderr for the specific error. Common causes: corrupted PDF, unsupported encryption, or network issues during first-run binary download.
  • First run is slow: The wrapper downloads the platform binary on first use (~a few seconds). Subsequent runs use the cached binary.

License

Free for processing up to 1,000 documents per calendar month.

Commercial license required for:

  • processing over 1,000 documents/month
  • redistributing the binary
  • OEM/white-label use

Contact sales@nutrient.io for commercial licensing.

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

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

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

Codex

36.72%
按下载量换算214

Claude

31.67%
按下载量换算184

Cursor

17.99%
按下载量换算105

Gemini CLI

9.48%
按下载量换算55

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills