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Read, summarize, revise, and analyze Word DOC/DOCX attachments saved by Kivio Chat.
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Baseado na classificação ocupacional SOC
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| id | docx |
| name | docx |
| description | Read, summarize, revise, and analyze Word DOC/DOCX attachments saved by Kivio Chat. |
| recommended-tools | ["read","run_python"] |
Use this skill when the user attaches or references a Word document (.doc or .docx) and asks to read, summarize, revise, extract, compare, translate, or answer questions about it.
Kivio stores each uploaded document as a safe local copy and includes its absolute path in the user message under Kivio 安全副本路径. Pass that safe copy path to run_python via files; Kivio mounts it inside the Pyodide filesystem for the run. Python code must use the mounted virtual paths in KIVIO_INPUT_FILES, not the host absolute path directly.
You can also process any local Word document, not just uploaded safe copies: pass its absolute path (e.g. one discovered via glob/list_dir) directly to run_python via files.
.docx, use run_python with files=["Kivio 安全副本路径"] to inspect the mounted zip package and extract text from word/document.xml.word/document.xml table nodes or ask for a narrower extraction target..doc, explain that binary Word extraction may not be available in the sandbox and ask the user to convert to .docx if needed.from pathlib import Path
from zipfile import ZipFile
import xml.etree.ElementTree as ET
docx_path = Path(KIVIO_INPUT_FILES[0])
with ZipFile(docx_path) as zf:
xml = zf.read("word/document.xml")
root = ET.fromstring(xml)
ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"}
paragraphs = []
for para in root.findall(".//w:p", ns):
text = "".join(node.text or "" for node in para.findall(".//w:t", ns)).strip()
if text:
paragraphs.append(text)
print("\\n".join(paragraphs))