document-qa
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
Best use case
document-qa is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
Teams using document-qa should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/document-qa/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How document-qa Compares
| Feature / Agent | document-qa | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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:
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