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文档处理技能 - 让 AI 能够读取、解析、提取 PDF、DOCX、PPT 等文档的关键信息。当用户要求分析文档、提取内容、总结报告时触发此技能。
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Drive a headed Chromium via the agent-browser CLI — open/click/type/hover/scroll/screenshot/snapshot/eval/pdf/network-route. Use this for any web interaction; no native browser tool is exposed.
Search, install, and verify Debian or Ubuntu packages with apt-get in the container.
Search the web using DuckDuckGo. No API key required. Supports instant answers and HTML scraping modes. Privacy-focused search alternative.
Control the Linux desktop GUI using xdotool, wmctrl, dogtail, and scrot. Provides a window list, an accessibility-tree viewer (with coordinates) for finding buttons and text fields, a thin xdotool wrapper for actuating them, and a launcher helper that enables accessibility for Electron/Chromium apps.
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
Placeholder task skill.
Basé sur la classification professionnelle SOC
| name | document-pro |
| version | 1.0.0 |
| description | 文档处理技能 - 让 AI 能够读取、解析、提取 PDF、DOCX、PPT 等文档的关键信息。当用户要求分析文档、提取内容、总结报告时触发此技能。 |
赋予 AI 强大的文档处理能力：
| 格式 | 读取 | 写入 | 工具 |
|---|---|---|---|
| ✅ | ✅ | pdfplumber, PyPDF2 | |
| DOCX | ✅ | ✅ | python-docx |
| PPTX | ✅ | ❌ | python-pptx |
| XLSX | ✅ | ✅ | openpyxl |
| TXT | ✅ | ✅ | 内置 |
| Markdown | ✅ | ✅ | 内置 |
# 提取文本
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
for page in pdf.pages:
text = page.extract_text()
print(text)
# 提取表格
with pdfplumber.open("document.pdf") as pdf:
table = pdf.pages[0].extract_tables()
from docx import Document
doc = Document("document.docx")
for para in doc.paragraphs:
print(para.text)
# 提取表格
for table in doc.tables:
for row in table.rows:
print([cell.text for cell in row.cells])
from pptx import Presentation
prs = Presentation("presentation.pptx")
for slide in prs.slides:
for shape in slide.shapes:
if shape.has_text_frame:
print(shape.text)
1. 识别文档类型 → 选择正确的工具
2. 读取内容 → 提取文本、表格、图片
3. 分析信息 → 理解结构、提取要点
4. 总结呈现 → 用中文总结给用户
向用户呈现文档时：