dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install anand2426/document-qaExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
This skill allows you to upload documents (PDF, DOCX, TXT) and ask questions about their content.
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:
python ~/.openclaw/workspace/skills/document-qa/scripts/run_qa.py "C:\Users\anandraj\.openclaw\workspace\my_docs\report.pdf" "What are the key findings?"
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.
Note:
iyeque-pdf-reader-1.1.0 skill is installed in your workspace.pandas and openpyxl libraries if they are not already installed in your environment:
pip install pandas openpyxl
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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`University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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