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translate-pdftranslate PDF 搜索

Agent Skill

translate-pdf 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。

总安装

1,552

周安装

66

GitHub Stars

公开资料未说明

下载量

544
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:translate-pdf(translate PDF 搜索)
来源仓库:https://github.com/morphet81/cheat-sheets
仓库路径:skills/translate-pdf
安装命令:
npx skills add https://github.com/morphet81/cheat-sheets --skill translate-pdf
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/morphet81/cheat-sheets --skill translate-pdf

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 可根据关键词、任务场景或来源线索进行信息定位与筛选。
  • 建议结合原始 README 和仓库内容进一步验证具体用法。
  • 安装前需确认是否会触发联网、命令执行或文件读写等操作。
  • translate-pdf 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Translate a PDF document end-to-end: extract structured Markdown from the source PDF, translate the content, and build a new PDF in the target language.

Usage:

  • /translate-pdf./report.pdf French English — Translate a French PDF to English
  • /translate-pdf /path/to/manual.pdf English Spanish — Translate an English PDF to Spanish
  • /translate-pdf invoice.pdf German French — Translate a German PDF to French

Instructions:

  1. Parse positional arguments:

- $1 = path to the source PDF file - $2 = the language the PDF is currently written in - $3 = the language to translate into - If any of $1, $2, or $3 is missing, display the following and STOP: ## Missing Arguments Usage: /translate-pdf <path-to-pdf> <source-language> <target-language> Examples: /translate-pdf./report.pdf French English /translate-pdf /path/to/manual.pdf English Spanish /translate-pdf invoice.pdf German French

  1. Validate the PDF file exists:

- Resolve the path and verify the file exists and has a .pdf extension - If the file does not exist, display the error and STOP: File not found: "<path>" Please provide a valid path to a PDF file.

  1. Check Python dependencies: The skill relies on a Python script located at skills/translate-pdf/translate_pdf.py (relative to this repo). The script requires: a) Check if the dependencies are installed: Run python3 -c "import fitz; import markdown; from weasyprint import HTML; print('OK')" via the Bash tool. b) If the check fails, use AskUserQuestion to ask the developer: The following Python packages are required but not all are installed: pymupdf (PDF extraction) markdown (Markdown → HTML) weasyprint (HTML → PDF, also needs system libs: cairo, pango, gdk-pixbuf) Would you like me to install them now? Provide two options:

- pymupdf — PDF text extraction - markdown — Markdown to HTML conversion - weasyprint — HTML to PDF rendering (also requires system libraries: cairo, pango, gdk-pixbuf) - Yes — install with pip → Run pip install pymupdf markdown weasyprint - No — I'll handle it myself → Display manual installation instructions and STOP: ## Manual Installation Install the Python packages: pip install pymupdf markdown weasyprint weasyprint also requires system libraries. Install them for your OS: macOS (Homebrew): brew install cairo pango gdk-pixbuf libffi Ubuntu/Debian: sudo apt install libcairo2-dev libpango1.0-dev libgdk-pixbuf2.0-dev libffi-dev Then re-run the skill.

  1. Step 1 — Extract PDF to Markdown: Determine the output directory — use the same directory as the source PDF. Run the extraction script: python3 <repo-root>/skills/translate-pdf/translate_pdf.py extract "<pdf-path>" -o "<output-dir>/<filename>_source.md" Where <filename> is the PDF filename without extension. After extraction, read the generated Markdown file to verify it looks reasonable. If the Markdown is mostly empty or garbled (e.g., the PDF is scanned/image-based), warn the developer: The PDF appears to be image-based or has very little extractable text. The translation may be incomplete or inaccurate. Consider using an OCR tool first.
  2. Step 1b — Verify table preservation: The extraction script automatically detects tables in the PDF using PyMuPDF's find_tables() and converts them to Markdown table syntax. After extraction, you must verify that tables are correctly preserved: a) Read the source PDF using the Read tool to visually identify all tables in the document. Note the number of tables and their approximate content (headers, row counts). b) Read the extracted Markdown file and locate all Markdown tables (lines starting with |). For each table, verify: c) Compare counts: If the number of Markdown tables does not match the number of tables you identified in the source PDF, some tables were likely not detected. For each missing table: d) Fix malformed tables: If any Markdown table has inconsistent column counts, missing separators, or garbled content, fix it by referencing the source PDF. Ensure every table row has the same number of columns. After verification and any fixes, save the updated Markdown file.

- The table has a header row, a separator row (| --- | --- |), and the correct number of data rows - Cell content is present and not empty where the original PDF had data - Multi-column structure is preserved (correct number of | delimiters per row) - Identify the page and location of the missing table in the PDF - Manually reconstruct the table in Markdown format by reading the relevant text from the extracted Markdown (the content may appear as plain text paragraphs) - Insert the reconstructed Markdown table at the correct position in the file, replacing the plain-text paragraph(s) that contained the table data

  1. Step 2 — Translate the Markdown: Read the extracted Markdown file (<filename>_source.md). Translate all text content from <source-language> to <target-language>, following these rules: Write the translated content to <output-dir>/<filename>_<target-language>.md (e.g., report_English.md).

- Preserve all Markdown formatting — headings, bold, italic, lists, tables, code blocks, links, image references - Preserve all Markdown tables exactly — keep the same number of rows, columns, header rows, and separator rows. Translate cell content but never alter table structure (do not add, remove, or merge columns/rows) - Preserve page comment markers (<!-- page N -->) and horizontal rules (---) that act as page separators - Do NOT translate: code snippets, URLs, file paths, proper nouns that are universally recognized (brand names, product names), or technical identifiers - Translate naturally — produce fluent, natural-sounding text in the target language, not word-for-word translation - Preserve document structure — the translated Markdown should have the same number of sections, paragraphs, tables, and structural elements as the source

  1. Step 3 — Build the translated PDF: Run the build script: python3 <repo-root>/skills/translate-pdf/translate_pdf.py build "<output-dir>/<filename>_<target-language>.md" -o "<output-dir>/<filename>_<target-language>.pdf" Verify the output PDF was created successfully.
  2. Report results: Display a summary: ` ## Translation Complete **Source:** <pdf-path> (<source-language>) **Target language:** <target-language> ### Generated Files - Source Markdown: <filename>_source.md - Translated Markdown: <filename>_<target-language>.md - Translated PDF: <filename>_<target-language>.pdf All files saved in: <output-directory>/ `
  3. Handle edge cases:

- If the PDF is password-protected, display an error and STOP - If the PDF has no extractable text at all, warn the developer and STOP - If the build step fails due to missing system libraries (weasyprint dependency), display the platform-specific installation instructions from step 3 - If the source and target languages are the same, warn the developer and ask for confirmation before proceeding

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

34.98%
按下载量换算190

Claude

32.74%
按下载量换算178

Cursor

20.43%
按下载量换算111

Gemini CLI

9.4%
按下载量换算51

安全审计

Gen Agent Trust Hub

可疑

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

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