Overview
- Skill Key
- anand2426/document-qa
- Author
- anand2426
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/anand2426/document-qa
- Latest Commit SHA
- 9016a614eecf63886c9c2f7f4bf44ef3905fb8ef
Official OpenClaw
rules
72%
document-qa
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 document-qa 技能。 若已安装，则直接安装 document-qa 技能。
Extracted Content
SKILL.md excerpt
# Document Q&A Skill
This skill allows you to upload documents (PDF, DOCX, TXT) and ask questions about their content.
## How to Use
To use this skill, run the `run_qa.py` script with the path to your document or folder and your question. The skill will extract text from supported files (PDF, DOCX, TXT) and provide it as context for answering your question.
**Command:**
`python ~/.openclaw/workspace/skills/document-qa/scripts/run_qa.py "<path_to_file_or_folder>" "<Your question>"`
**Examples:**
* To ask about a single PDF file:
`python ~/.openclaw/workspace/skills/document-qa/scripts/run_qa.py "C:\Users\anandraj\.openclaw\workspace\my_docs\report.pdf" "What are the key findings?"`
* To ask about documents in a folder:
`python ~/.openclaw/workspace/skills/document-qa/scripts/run_qa.py "C:\Users\anandraj\.openclaw\workspace\project_docs" "Summarize the project goals."`
The system will extract all relevant text and present it along with your question, allowing me to formulate an answer based on the provided content.
## Supported Document Types
* PDF (.pdf) **(Requires 'iyeque-pdf-reader-1.1.0' skill installed)**
* Microsoft Word (.docx)
* Plain Text (.txt)
* Microsoft Excel (.xlsx)
**Note:**
* For PDF support, ensure the `iyeque-pdf-reader-1.1.0` skill is installed in your workspace.
* For Excel support, you might need to install the `pandas` and `openpyxl` libraries if they are not already installed in your environment:
`pip install pandas openpyxl`
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