document-qa

What This Skill Does

The Document Q&A skill is a sophisticated tool designed to bridge the gap between static local documentation and active AI-driven analysis. It transforms your raw files—whether they are PDF reports, DOCX project proposals, or simple text notes—into an interactive knowledge base. By leveraging specialized extractors, the agent reads your local files, processes the content, and synthesizes accurate answers to your questions, effectively turning your local file storage into a queryable database without the need for manual searching.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/anand2426/document-qa.

Important configuration steps:

1. Ensure you have the iyeque-pdf-reader-1.1.0 skill installed if you intend to process PDF files.
2. For Excel functionality, install the required dependencies by running pip install pandas openpyxl within your active Python environment.

Use Cases

This skill is ideal for professionals and developers who manage high volumes of documentation. Use it to quickly extract key performance indicators (KPIs) from complex PDF quarterly reports, summarize long Word-based legal or project documents, or cross-reference requirements across multiple text files in a single directory. It is particularly useful during onboarding, allowing you to query existing technical documentation repositories for specific architectural answers without manually opening dozens of files.

Example Prompts

1. "Look through the project_docs folder and create a bulleted list of all the major milestones identified for Q3."
2. "Analyze the technical_specification.pdf in my workspace and explain how the authentication module is implemented."
3. "Compare the budget summaries provided in both the excel sheet and the docx project overview, and point out any discrepancies."

Tips & Limitations

For optimal results, ensure your documents contain clear text structures. While the tool handles multiple formats, heavily scanned or image-based PDFs may require OCR tools not included here. Keep file paths accurate when invoking the script, and ensure the iyeque-pdf-reader-1.1.0 dependency is correctly linked. For large folders, be aware that the total character count must fit within your AI model's context window; if your folder contains hundreds of documents, consider grouping them into smaller, thematic sub-folders to ensure higher accuracy and faster response times.